Python Figure Reference: Single-Page
This page is the exhaustive reference for all of the attributes in the core figure data structure
that the plotly
library operates on. It is automatically-generated from the
machine-readable Plotly.js schema reference.
Figures are represented as trees with named nodes called "attributes".
The root node of the tree has three top-level attributes: data
, layout
and frames
.
Attributes are referred to in text and in this page by their full "path" i.e. the dot-delimited concatenation of their parents.
For example "layout.width"
refers to the attribute whose key is "width"
inside a dict which is
the value associated with a key "layout"
at the root of the figure. If one of the parents is a list rather
than a dict, a set of brackets is inserted in the path when referring to the attribute in the abstract,
e.g. "layout.annotations[].text"
. Finally, as explained below, the top-level "data"
attribute defines a list of typed objects called "traces" with the schema dependent upon the type,
and these attributes' paths are listed in this page as
"data[type=scatter].name"
. When manipulating
a plotly.graph_objects.Figure
object, attributes can be set either directly
using Python object attributes e.g. fig.layout.title.font.family="Open Sans"
or using update methods
and "magic underscores" e.g. fig.update_layout(title_font_family="Open Sans")
When building a figure, it is not necessary to populate every attribute
of every object. At render-time, the JavaScript layer will compute default values
for each required unspecified attribute, depending upon the ones that are specified,
as documented in this page. An example of this would be layout.xaxis.range
,
which may be specified explicitly, but if not will be computed based on the range of x
values for
every trace linked to that axis. The JavaScript layer will ignore unknown attributes
or malformed values, although the plotly.graph_objects
module provides
Python-side validation for attribute values. Note also that if the layout.template
key is present (as it is by default) then default values will be drawn first from the contents
of the template and only if missing from there will the JavaScript layer infer further defaults.
The built-in template can be disabled by setting layout.template="none"
.
scatter traces
plotly.graph_objects.Scatter
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The scatter trace type encompasses line charts, scatter charts, text charts, and bubble charts. The data visualized as scatter point or lines is set in `x` and `y`. Text (appearing either on the chart or on hover only) is via `text`. Bubble charts are achieved by setting `marker.size` and/or `marker.color` to numerical arrays.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='scatter'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='scatter'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='scatter'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='scatter'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- mode
Code:fig.update_traces(mode=<VALUE>, selector=dict(type='scatter'))
Type: flaglist string. Any combination of"lines"
,"markers"
,"text"
joined with a"+"
OR"none"
.
Examples:"lines"
,"markers"
,"lines+markers"
,"lines+markers+text"
,"none"
Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines".
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate string
Default:0
Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='scatter'))
Type: number
Default:1
Sets the x coordinate step. See `x0` for more info.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y coordinates.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate string
Default:0
Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='scatter'))
Type: number
Default:1
Sets the y coordinate step. See `y0` for more info.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='scatter'))
Type: string or array of strings
Default:""
Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels.
- textposition
Code:fig.update_traces(textposition=<VALUE>, selector=dict(type='scatter'))
Type: enumerated or array of enumerateds , one of ("top left"
|"top center"
|"top right"
|"middle left"
|"middle center"
|"middle right"
|"bottom left"
|"bottom center"
|"bottom right"
)
Default:"middle center"
Sets the positions of the `text` elements with respects to the (x,y) coordinates.
- texttemplate
Code:fig.update_traces(texttemplate=<VALUE>, selector=dict(type='scatter'))
Type: string or array of strings
Default:""
Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='scatter'))
Type: string or array of strings
Default:""
Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='scatter'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='scatter'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='scatter'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='scatter'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- orientation
Code:fig.update_traces(orientation=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("v"
|"h"
)Only relevant when `stackgroup` is used, and only the first `orientation` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `False`. Sets the stacking direction. With "v" ("h"), the y (x) values of subsequent traces are added. Also affects the default value of `fill`.
- groupnorm
Code:fig.update_traces(groupnorm=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of (""
|"fraction"
|"percent"
)
Default:""
Only relevant when `stackgroup` is used, and only the first `groupnorm` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `False`. Sets the normalization for the sum of this `stackgroup`. With "fraction", the value of each trace at each location is divided by the sum of all trace values at that location. "percent" is the same but multiplied by 100 to show percentages. If there are multiple subplots, or multiple `stackgroup`s on one subplot, each will be normalized within its own set.
- stackgroup
Code:fig.update_traces(stackgroup=<VALUE>, selector=dict(type='scatter'))
Type: string
Default:""
Set several scatter traces (on the same subplot) to the same stackgroup in order to add their y values (or their x values if `orientation` is "h"). If blank or omitted this trace will not be stacked. Stacking also turns `fill` on by default, using "tonexty" ("tonextx") if `orientation` is "h" ("v") and sets the default `mode` to "lines" irrespective of point count. You can only stack on a numeric (linear or log) axis. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- yperiod
Code:fig.update_traces(yperiod=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- yperiodalignment
Code:fig.update_traces(yperiodalignment=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis.
- yperiod0
Code:fig.update_traces(yperiod0=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- symbol
Code:fig.update_traces(marker_symbol=<VALUE>, selector=dict(type='scatter'))
Type: enumerated or array of enumerateds , one of ("0"
|"0"
|"circle"
|"100"
|"100"
|"circle-open"
|"200"
|"200"
|"circle-dot"
|"300"
|"300"
|"circle-open-dot"
|"1"
|"1"
|"square"
|"101"
|"101"
|"square-open"
|"201"
|"201"
|"square-dot"
|"301"
|"301"
|"square-open-dot"
|"2"
|"2"
|"diamond"
|"102"
|"102"
|"diamond-open"
|"202"
|"202"
|"diamond-dot"
|"302"
|"302"
|"diamond-open-dot"
|"3"
|"3"
|"cross"
|"103"
|"103"
|"cross-open"
|"203"
|"203"
|"cross-dot"
|"303"
|"303"
|"cross-open-dot"
|"4"
|"4"
|"x"
|"104"
|"104"
|"x-open"
|"204"
|"204"
|"x-dot"
|"304"
|"304"
|"x-open-dot"
|"5"
|"5"
|"triangle-up"
|"105"
|"105"
|"triangle-up-open"
|"205"
|"205"
|"triangle-up-dot"
|"305"
|"305"
|"triangle-up-open-dot"
|"6"
|"6"
|"triangle-down"
|"106"
|"106"
|"triangle-down-open"
|"206"
|"206"
|"triangle-down-dot"
|"306"
|"306"
|"triangle-down-open-dot"
|"7"
|"7"
|"triangle-left"
|"107"
|"107"
|"triangle-left-open"
|"207"
|"207"
|"triangle-left-dot"
|"307"
|"307"
|"triangle-left-open-dot"
|"8"
|"8"
|"triangle-right"
|"108"
|"108"
|"triangle-right-open"
|"208"
|"208"
|"triangle-right-dot"
|"308"
|"308"
|"triangle-right-open-dot"
|"9"
|"9"
|"triangle-ne"
|"109"
|"109"
|"triangle-ne-open"
|"209"
|"209"
|"triangle-ne-dot"
|"309"
|"309"
|"triangle-ne-open-dot"
|"10"
|"10"
|"triangle-se"
|"110"
|"110"
|"triangle-se-open"
|"210"
|"210"
|"triangle-se-dot"
|"310"
|"310"
|"triangle-se-open-dot"
|"11"
|"11"
|"triangle-sw"
|"111"
|"111"
|"triangle-sw-open"
|"211"
|"211"
|"triangle-sw-dot"
|"311"
|"311"
|"triangle-sw-open-dot"
|"12"
|"12"
|"triangle-nw"
|"112"
|"112"
|"triangle-nw-open"
|"212"
|"212"
|"triangle-nw-dot"
|"312"
|"312"
|"triangle-nw-open-dot"
|"13"
|"13"
|"pentagon"
|"113"
|"113"
|"pentagon-open"
|"213"
|"213"
|"pentagon-dot"
|"313"
|"313"
|"pentagon-open-dot"
|"14"
|"14"
|"hexagon"
|"114"
|"114"
|"hexagon-open"
|"214"
|"214"
|"hexagon-dot"
|"314"
|"314"
|"hexagon-open-dot"
|"15"
|"15"
|"hexagon2"
|"115"
|"115"
|"hexagon2-open"
|"215"
|"215"
|"hexagon2-dot"
|"315"
|"315"
|"hexagon2-open-dot"
|"16"
|"16"
|"octagon"
|"116"
|"116"
|"octagon-open"
|"216"
|"216"
|"octagon-dot"
|"316"
|"316"
|"octagon-open-dot"
|"17"
|"17"
|"star"
|"117"
|"117"
|"star-open"
|"217"
|"217"
|"star-dot"
|"317"
|"317"
|"star-open-dot"
|"18"
|"18"
|"hexagram"
|"118"
|"118"
|"hexagram-open"
|"218"
|"218"
|"hexagram-dot"
|"318"
|"318"
|"hexagram-open-dot"
|"19"
|"19"
|"star-triangle-up"
|"119"
|"119"
|"star-triangle-up-open"
|"219"
|"219"
|"star-triangle-up-dot"
|"319"
|"319"
|"star-triangle-up-open-dot"
|"20"
|"20"
|"star-triangle-down"
|"120"
|"120"
|"star-triangle-down-open"
|"220"
|"220"
|"star-triangle-down-dot"
|"320"
|"320"
|"star-triangle-down-open-dot"
|"21"
|"21"
|"star-square"
|"121"
|"121"
|"star-square-open"
|"221"
|"221"
|"star-square-dot"
|"321"
|"321"
|"star-square-open-dot"
|"22"
|"22"
|"star-diamond"
|"122"
|"122"
|"star-diamond-open"
|"222"
|"222"
|"star-diamond-dot"
|"322"
|"322"
|"star-diamond-open-dot"
|"23"
|"23"
|"diamond-tall"
|"123"
|"123"
|"diamond-tall-open"
|"223"
|"223"
|"diamond-tall-dot"
|"323"
|"323"
|"diamond-tall-open-dot"
|"24"
|"24"
|"diamond-wide"
|"124"
|"124"
|"diamond-wide-open"
|"224"
|"224"
|"diamond-wide-dot"
|"324"
|"324"
|"diamond-wide-open-dot"
|"25"
|"25"
|"hourglass"
|"125"
|"125"
|"hourglass-open"
|"26"
|"26"
|"bowtie"
|"126"
|"126"
|"bowtie-open"
|"27"
|"27"
|"circle-cross"
|"127"
|"127"
|"circle-cross-open"
|"28"
|"28"
|"circle-x"
|"128"
|"128"
|"circle-x-open"
|"29"
|"29"
|"square-cross"
|"129"
|"129"
|"square-cross-open"
|"30"
|"30"
|"square-x"
|"130"
|"130"
|"square-x-open"
|"31"
|"31"
|"diamond-cross"
|"131"
|"131"
|"diamond-cross-open"
|"32"
|"32"
|"diamond-x"
|"132"
|"132"
|"diamond-x-open"
|"33"
|"33"
|"cross-thin"
|"133"
|"133"
|"cross-thin-open"
|"34"
|"34"
|"x-thin"
|"134"
|"134"
|"x-thin-open"
|"35"
|"35"
|"asterisk"
|"135"
|"135"
|"asterisk-open"
|"36"
|"36"
|"hash"
|"136"
|"136"
|"hash-open"
|"236"
|"236"
|"hash-dot"
|"336"
|"336"
|"hash-open-dot"
|"37"
|"37"
|"y-up"
|"137"
|"137"
|"y-up-open"
|"38"
|"38"
|"y-down"
|"138"
|"138"
|"y-down-open"
|"39"
|"39"
|"y-left"
|"139"
|"139"
|"y-left-open"
|"40"
|"40"
|"y-right"
|"140"
|"140"
|"y-right-open"
|"41"
|"41"
|"line-ew"
|"141"
|"141"
|"line-ew-open"
|"42"
|"42"
|"line-ns"
|"142"
|"142"
|"line-ns-open"
|"43"
|"43"
|"line-ne"
|"143"
|"143"
|"line-ne-open"
|"44"
|"44"
|"line-nw"
|"144"
|"144"
|"line-nw-open"
|"45"
|"45"
|"arrow-up"
|"145"
|"145"
|"arrow-up-open"
|"46"
|"46"
|"arrow-down"
|"146"
|"146"
|"arrow-down-open"
|"47"
|"47"
|"arrow-left"
|"147"
|"147"
|"arrow-left-open"
|"48"
|"48"
|"arrow-right"
|"148"
|"148"
|"arrow-right-open"
|"49"
|"49"
|"arrow-bar-up"
|"149"
|"149"
|"arrow-bar-up-open"
|"50"
|"50"
|"arrow-bar-down"
|"150"
|"150"
|"arrow-bar-down-open"
|"51"
|"51"
|"arrow-bar-left"
|"151"
|"151"
|"arrow-bar-left-open"
|"52"
|"52"
|"arrow-bar-right"
|"152"
|"152"
|"arrow-bar-right-open"
)
Default:"circle"
Sets the marker symbol type. Adding 100 is equivalent to appending "-open" to a symbol name. Adding 200 is equivalent to appending "-dot" to a symbol name. Adding 300 is equivalent to appending "-open-dot" or "dot-open" to a symbol name.
- opacity
Code:fig.update_traces(marker_opacity=<VALUE>, selector=dict(type='scatter'))
Type: number or array of numbers between or equal to 0 and 1Sets the marker opacity.
- size
Code:fig.update_traces(marker_size=<VALUE>, selector=dict(type='scatter'))
Type: number or array of numbers greater than or equal to 0
Default:6
Sets the marker size (in px).
- maxdisplayed
Code:fig.update_traces(marker_maxdisplayed=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:0
Sets a maximum number of points to be drawn on the graph. "0" corresponds to no limit.
- sizeref
Code:fig.update_traces(marker_sizeref=<VALUE>, selector=dict(type='scatter'))
Type: number
Default:1
Has an effect only if `marker.size` is set to a numerical array. Sets the scale factor used to determine the rendered size of marker points. Use with `sizemin` and `sizemode`.
- sizemin
Code:fig.update_traces(marker_sizemin=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:0
Has an effect only if `marker.size` is set to a numerical array. Sets the minimum size (in px) of the rendered marker points.
- sizemode
Code:fig.update_traces(marker_sizemode=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("diameter"
|"area"
)
Default:"diameter"
Has an effect only if `marker.size` is set to a numerical array. Sets the rule for which the data in `size` is converted to pixels.
- line
Code:fig.update_traces(marker_line=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- width
Code:fig.update_traces(marker_line_width=<VALUE>, selector=dict(type='scatter'))
Type: number or array of numbers greater than or equal to 0Sets the width (in px) of the lines bounding the marker points.
- color
Code:fig.update_traces(marker_line_color=<VALUE>, selector=dict(type='scatter'))
Type: color or array of colorsSets themarker.linecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.line.cmin` and `marker.line.cmax` if set.
- cauto
Code:fig.update_traces(marker_line_cauto=<VALUE>, selector=dict(type='scatter'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.line.color`) or the bounds set in `marker.line.cmin` and `marker.line.cmax` Has an effect only if in `marker.line.color`is set to a numerical array. Defaults to `False` when `marker.line.cmin` and `marker.line.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_line_cmin=<VALUE>, selector=dict(type='scatter'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_line_cmax=<VALUE>, selector=dict(type='scatter'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_line_cmid=<VALUE>, selector=dict(type='scatter'))
Type: numberSets the mid-point of the color domain by scaling `marker.line.cmin` and/or `marker.line.cmax` to be equidistant to this point. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color`. Has no effect when `marker.line.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_line_colorscale=<VALUE>, selector=dict(type='scatter'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.line.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.line.cmin` and `marker.line.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_line_autocolorscale=<VALUE>, selector=dict(type='scatter'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.line.colorscale`. Has an effect only if in `marker.line.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_line_reversescale=<VALUE>, selector=dict(type='scatter'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.line.color`is set to a numerical array. If True, `marker.line.cmin` will correspond to the last color in the array and `marker.line.cmax` will correspond to the first color.
- coloraxis
Code:fig.update_traces(marker_line_coloraxis=<VALUE>, selector=dict(type='scatter'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- width
- gradient
Code:fig.update_traces(marker_gradient=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- type
Code:fig.update_traces(marker_gradient_type=<VALUE>, selector=dict(type='scatter'))
Type: enumerated or array of enumerateds , one of ("radial"
|"horizontal"
|"vertical"
|"none"
)
Default:"none"
Sets the type of gradient used to fill the markers
- color
Code:fig.update_traces(marker_gradient_color=<VALUE>, selector=dict(type='scatter'))
Type: color or array of colorsSets the final color of the gradient fill: the center color for radial, the right for horizontal, or the bottom for vertical.
- type
- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='scatter'))
Type: color or array of colorsSets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set.
- cauto
Code:fig.update_traces(marker_cauto=<VALUE>, selector=dict(type='scatter'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color`is set to a numerical array. Defaults to `False` when `marker.cmin` and `marker.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_cmin=<VALUE>, selector=dict(type='scatter'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_cmax=<VALUE>, selector=dict(type='scatter'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_cmid=<VALUE>, selector=dict(type='scatter'))
Type: numberSets the mid-point of the color domain by scaling `marker.cmin` and/or `marker.cmax` to be equidistant to this point. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color`. Has no effect when `marker.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_colorscale=<VALUE>, selector=dict(type='scatter'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_autocolorscale=<VALUE>, selector=dict(type='scatter'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_reversescale=<VALUE>, selector=dict(type='scatter'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.color`is set to a numerical array. If True, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color.
- showscale
Code:fig.update_traces(marker_showscale=<VALUE>, selector=dict(type='scatter'))
Type: booleanDetermines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color`is set to a numerical array.
- colorbar
Code:fig.update_traces(marker_colorbar=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(marker_colorbar_thicknessmode=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(marker_colorbar_thickness=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(marker_colorbar_lenmode=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(marker_colorbar_len=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(marker_colorbar_x=<VALUE>, selector=dict(type='scatter'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(marker_colorbar_xanchor=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(marker_colorbar_xpad=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(marker_colorbar_y=<VALUE>, selector=dict(type='scatter'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(marker_colorbar_yanchor=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(marker_colorbar_ypad=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(marker_colorbar_outlinecolor=<VALUE>, selector=dict(type='scatter'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(marker_colorbar_outlinewidth=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(marker_colorbar_bordercolor=<VALUE>, selector=dict(type='scatter'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(marker_colorbar_borderwidth=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(marker_colorbar_bgcolor=<VALUE>, selector=dict(type='scatter'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(marker_colorbar_tickmode=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(marker_colorbar_nticks=<VALUE>, selector=dict(type='scatter'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(marker_colorbar_tick0=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(marker_colorbar_dtick=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(marker_colorbar_tickvals=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(marker_colorbar_ticktext=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(marker_colorbar_ticks=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(marker_colorbar_ticklabelposition=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(marker_colorbar_ticklen=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(marker_colorbar_tickwidth=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(marker_colorbar_tickcolor=<VALUE>, selector=dict(type='scatter'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(marker_colorbar_showticklabels=<VALUE>, selector=dict(type='scatter'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(marker_colorbar_tickfont=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(marker_colorbar_tickfont_family=<VALUE>, selector=dict(type='scatter'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_tickfont_size=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_tickfont_color=<VALUE>, selector=dict(type='scatter'))
Type: color
- family
- tickangle
Code:fig.update_traces(marker_colorbar_tickangle=<VALUE>, selector=dict(type='scatter'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(marker_colorbar_tickformat=<VALUE>, selector=dict(type='scatter'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(marker_colorbar_tickformatstops=list(...), selector=dict(type='scatter'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=scatter].marker.colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=scatter].marker.colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=scatter].marker.colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=scatter].marker.colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=scatter].marker.colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(marker_colorbar_tickprefix=<VALUE>, selector=dict(type='scatter'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(marker_colorbar_showtickprefix=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(marker_colorbar_ticksuffix=<VALUE>, selector=dict(type='scatter'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(marker_colorbar_showticksuffix=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(marker_colorbar_separatethousands=<VALUE>, selector=dict(type='scatter'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(marker_colorbar_exponentformat=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(marker_colorbar_minexponent=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(marker_colorbar_showexponent=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(marker_colorbar_title=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(marker_colorbar_title_text=<VALUE>, selector=dict(type='scatter'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(marker_colorbar_title_font=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(marker_colorbar_title_font_family=<VALUE>, selector=dict(type='scatter'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_title_font_size=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_title_font_color=<VALUE>, selector=dict(type='scatter'))
Type: color
- family
- side
Code:fig.update_traces(marker_colorbar_title_side=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- coloraxis
Code:fig.update_traces(marker_coloraxis=<VALUE>, selector=dict(type='scatter'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- symbol
- line
Code:fig.update_traces(line=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(line_color=<VALUE>, selector=dict(type='scatter'))
Type: colorSets the line color.
- width
Code:fig.update_traces(line_width=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:2
Sets the line width (in px).
- shape
Code:fig.update_traces(line_shape=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("linear"
|"spline"
|"hv"
|"vh"
|"hvh"
|"vhv"
)
Default:"linear"
Determines the line shape. With "spline" the lines are drawn using spline interpolation. The other available values correspond to step-wise line shapes.
- smoothing
Code:fig.update_traces(line_smoothing=<VALUE>, selector=dict(type='scatter'))
Type: number between or equal to 0 and 1.3
Default:1
Has an effect only if `shape` is set to "spline" Sets the amount of smoothing. "0" corresponds to no smoothing (equivalent to a "linear" shape).
- dash
Code:fig.update_traces(line_dash=<VALUE>, selector=dict(type='scatter'))
Type: string
Default:"solid"
Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px").
- simplify
Code:fig.update_traces(line_simplify=<VALUE>, selector=dict(type='scatter'))
Type: boolean
Default:True
Simplifies lines by removing nearly-collinear points. When transitioning lines, it may be desirable to disable this so that the number of points along the resulting SVG path is unaffected.
- color
- textfont
Code:fig.update_traces(textfont=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.Sets the text font.
- family
Code:fig.update_traces(textfont_family=<VALUE>, selector=dict(type='scatter'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(textfont_size=<VALUE>, selector=dict(type='scatter'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(textfont_color=<VALUE>, selector=dict(type='scatter'))
Type: color or array of colors
- family
- error_x
Code:fig.update_traces(error_x=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(error_x_visible=<VALUE>, selector=dict(type='scatter'))
Type: booleanDetermines whether or not this set of error bars is visible.
- type
Code:fig.update_traces(error_x_type=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("percent"
|"constant"
|"sqrt"
|"data"
)Determines the rule used to generate the error bars. If "constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`.
- symmetric
Code:fig.update_traces(error_x_symmetric=<VALUE>, selector=dict(type='scatter'))
Type: booleanDetermines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars.
- array
Code:fig.update_traces(error_x_array=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data.
- arrayminus
Code:fig.update_traces(error_x_arrayminus=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data.
- value
Code:fig.update_traces(error_x_value=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars.
- valueminus
Code:fig.update_traces(error_x_valueminus=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars
- traceref
Code:fig.update_traces(error_x_traceref=<VALUE>, selector=dict(type='scatter'))
Type: integer greater than or equal to 0
Default:0
- tracerefminus
Code:fig.update_traces(error_x_tracerefminus=<VALUE>, selector=dict(type='scatter'))
Type: integer greater than or equal to 0
Default:0
- copy_ystyle
Code:fig.update_traces(error_x_copy_ystyle=<VALUE>, selector=dict(type='scatter'))
Type: boolean - color
Code:fig.update_traces(error_x_color=<VALUE>, selector=dict(type='scatter'))
Type: colorSets the stoke color of the error bars.
- thickness
Code:fig.update_traces(error_x_thickness=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:2
Sets the thickness (in px) of the error bars.
- width
Code:fig.update_traces(error_x_width=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0Sets the width (in px) of the cross-bar at both ends of the error bars.
- visible
- error_y
Code:fig.update_traces(error_y=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(error_y_visible=<VALUE>, selector=dict(type='scatter'))
Type: booleanDetermines whether or not this set of error bars is visible.
- type
Code:fig.update_traces(error_y_type=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("percent"
|"constant"
|"sqrt"
|"data"
)Determines the rule used to generate the error bars. If "constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`.
- symmetric
Code:fig.update_traces(error_y_symmetric=<VALUE>, selector=dict(type='scatter'))
Type: booleanDetermines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars.
- array
Code:fig.update_traces(error_y_array=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data.
- arrayminus
Code:fig.update_traces(error_y_arrayminus=<VALUE>, selector=dict(type='scatter'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data.
- value
Code:fig.update_traces(error_y_value=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars.
- valueminus
Code:fig.update_traces(error_y_valueminus=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars
- traceref
Code:fig.update_traces(error_y_traceref=<VALUE>, selector=dict(type='scatter'))
Type: integer greater than or equal to 0
Default:0
- tracerefminus
Code:fig.update_traces(error_y_tracerefminus=<VALUE>, selector=dict(type='scatter'))
Type: integer greater than or equal to 0
Default:0
- color
Code:fig.update_traces(error_y_color=<VALUE>, selector=dict(type='scatter'))
Type: colorSets the stoke color of the error bars.
- thickness
Code:fig.update_traces(error_y_thickness=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0
Default:2
Sets the thickness (in px) of the error bars.
- width
Code:fig.update_traces(error_y_width=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0Sets the width (in px) of the cross-bar at both ends of the error bars.
- visible
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- selected
Code:fig.update_traces(selected=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(selected_marker=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(selected_marker_opacity=<VALUE>, selector=dict(type='scatter'))
Type: number between or equal to 0 and 1Sets the marker opacity of selected points.
- color
Code:fig.update_traces(selected_marker_color=<VALUE>, selector=dict(type='scatter'))
Type: colorSets the marker color of selected points.
- size
Code:fig.update_traces(selected_marker_size=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0Sets the marker size of selected points.
- opacity
- textfont
Code:fig.update_traces(selected_textfont=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(selected_textfont_color=<VALUE>, selector=dict(type='scatter'))
Type: colorSets the text font color of selected points.
- color
- marker
- unselected
Code:fig.update_traces(unselected=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(unselected_marker=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(unselected_marker_opacity=<VALUE>, selector=dict(type='scatter'))
Type: number between or equal to 0 and 1Sets the marker opacity of unselected points, applied only when a selection exists.
- color
Code:fig.update_traces(unselected_marker_color=<VALUE>, selector=dict(type='scatter'))
Type: colorSets the marker color of unselected points, applied only when a selection exists.
- size
Code:fig.update_traces(unselected_marker_size=<VALUE>, selector=dict(type='scatter'))
Type: number greater than or equal to 0Sets the marker size of unselected points, applied only when a selection exists.
- opacity
- textfont
Code:fig.update_traces(unselected_textfont=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(unselected_textfont_color=<VALUE>, selector=dict(type='scatter'))
Type: colorSets the text font color of unselected points, applied only when a selection exists.
- color
- marker
- cliponaxis
Code:fig.update_traces(cliponaxis=<VALUE>, selector=dict(type='scatter'))
Type: boolean
Default:True
Determines whether or not markers and text nodes are clipped about the subplot axes. To show markers and text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to "below traces".
- connectgaps
Code:fig.update_traces(connectgaps=<VALUE>, selector=dict(type='scatter'))
Type: booleanDetermines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected.
- fill
Code:fig.update_traces(fill=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("none"
|"tozeroy"
|"tozerox"
|"tonexty"
|"tonextx"
|"toself"
|"tonext"
)Sets the area to fill with a solid color. Defaults to "none" unless this trace is stacked, then it gets "tonexty" ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor` if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0 respectively. "tonextx" and "tonexty" fill between the endpoints of this trace and the endpoints of the trace before it, connecting those endpoints with straight lines (to make a stacked area graph); if there is no trace before it, they behave like "tozerox" and "tozeroy". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order.
- fillcolor
Code:fig.update_traces(fillcolor=<VALUE>, selector=dict(type='scatter'))
Type: colorSets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='scatter'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='scatter'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='scatter'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='scatter'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='scatter'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='scatter'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='scatter'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='scatter'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- hoveron
Code:fig.update_traces(hoveron=<VALUE>, selector=dict(type='scatter'))
Type: flaglist string. Any combination of"points"
,"fills"
joined with a"+"
Examples:"points"
,"fills"
,"points+fills"
Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points".
- stackgaps
Code:fig.update_traces(stackgaps=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("infer zero"
|"interpolate"
)
Default:"infer zero"
Only relevant when `stackgroup` is used, and only the first `stackgaps` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `False`. Determines how we handle locations at which other traces in this group have data but this one does not. With "infer zero" we insert a zero at these locations. With "interpolate" we linearly interpolate between existing values, and extrapolate a constant beyond the existing values.
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- ycalendar
Code:fig.update_traces(ycalendar=<VALUE>, selector=dict(type='scatter'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='scatter'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
scattergl traces
plotly.graph_objects.Scattergl
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The data visualized as scatter point or lines is set in `x` and `y` using the WebGL plotting engine. Bubble charts are achieved by setting `marker.size` and/or `marker.color` to a numerical arrays.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='scattergl'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='scattergl'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='scattergl'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='scattergl'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- mode
Code:fig.update_traces(mode=<VALUE>, selector=dict(type='scattergl'))
Type: flaglist string. Any combination of"lines"
,"markers"
,"text"
joined with a"+"
OR"none"
.
Examples:"lines"
,"markers"
,"lines+markers"
,"lines+markers+text"
,"none"
Determines the drawing mode for this scatter trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate string
Default:0
Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='scattergl'))
Type: number
Default:1
Sets the x coordinate step. See `x0` for more info.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y coordinates.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate string
Default:0
Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='scattergl'))
Type: number
Default:1
Sets the y coordinate step. See `y0` for more info.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='scattergl'))
Type: string or array of strings
Default:""
Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels.
- textposition
Code:fig.update_traces(textposition=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated or array of enumerateds , one of ("top left"
|"top center"
|"top right"
|"middle left"
|"middle center"
|"middle right"
|"bottom left"
|"bottom center"
|"bottom right"
)
Default:"middle center"
Sets the positions of the `text` elements with respects to the (x,y) coordinates.
- texttemplate
Code:fig.update_traces(texttemplate=<VALUE>, selector=dict(type='scattergl'))
Type: string or array of strings
Default:""
Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='scattergl'))
Type: string or array of strings
Default:""
Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='scattergl'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='scattergl'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='scattergl'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='scattergl'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- yperiod
Code:fig.update_traces(yperiod=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- yperiodalignment
Code:fig.update_traces(yperiodalignment=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis.
- yperiod0
Code:fig.update_traces(yperiod0=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='scattergl'))
Type: color or array of colorsSets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set.
- cauto
Code:fig.update_traces(marker_cauto=<VALUE>, selector=dict(type='scattergl'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color`is set to a numerical array. Defaults to `False` when `marker.cmin` and `marker.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_cmin=<VALUE>, selector=dict(type='scattergl'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_cmax=<VALUE>, selector=dict(type='scattergl'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_cmid=<VALUE>, selector=dict(type='scattergl'))
Type: numberSets the mid-point of the color domain by scaling `marker.cmin` and/or `marker.cmax` to be equidistant to this point. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color`. Has no effect when `marker.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_colorscale=<VALUE>, selector=dict(type='scattergl'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_autocolorscale=<VALUE>, selector=dict(type='scattergl'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_reversescale=<VALUE>, selector=dict(type='scattergl'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.color`is set to a numerical array. If True, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color.
- showscale
Code:fig.update_traces(marker_showscale=<VALUE>, selector=dict(type='scattergl'))
Type: booleanDetermines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color`is set to a numerical array.
- colorbar
Code:fig.update_traces(marker_colorbar=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(marker_colorbar_thicknessmode=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(marker_colorbar_thickness=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(marker_colorbar_lenmode=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(marker_colorbar_len=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(marker_colorbar_x=<VALUE>, selector=dict(type='scattergl'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(marker_colorbar_xanchor=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(marker_colorbar_xpad=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(marker_colorbar_y=<VALUE>, selector=dict(type='scattergl'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(marker_colorbar_yanchor=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(marker_colorbar_ypad=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(marker_colorbar_outlinecolor=<VALUE>, selector=dict(type='scattergl'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(marker_colorbar_outlinewidth=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(marker_colorbar_bordercolor=<VALUE>, selector=dict(type='scattergl'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(marker_colorbar_borderwidth=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(marker_colorbar_bgcolor=<VALUE>, selector=dict(type='scattergl'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(marker_colorbar_tickmode=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(marker_colorbar_nticks=<VALUE>, selector=dict(type='scattergl'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(marker_colorbar_tick0=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(marker_colorbar_dtick=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(marker_colorbar_tickvals=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(marker_colorbar_ticktext=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(marker_colorbar_ticks=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(marker_colorbar_ticklabelposition=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(marker_colorbar_ticklen=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(marker_colorbar_tickwidth=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(marker_colorbar_tickcolor=<VALUE>, selector=dict(type='scattergl'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(marker_colorbar_showticklabels=<VALUE>, selector=dict(type='scattergl'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(marker_colorbar_tickfont=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(marker_colorbar_tickfont_family=<VALUE>, selector=dict(type='scattergl'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_tickfont_size=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_tickfont_color=<VALUE>, selector=dict(type='scattergl'))
Type: color
- family
- tickangle
Code:fig.update_traces(marker_colorbar_tickangle=<VALUE>, selector=dict(type='scattergl'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(marker_colorbar_tickformat=<VALUE>, selector=dict(type='scattergl'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(marker_colorbar_tickformatstops=list(...), selector=dict(type='scattergl'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=scattergl].marker.colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=scattergl].marker.colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=scattergl].marker.colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=scattergl].marker.colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=scattergl].marker.colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(marker_colorbar_tickprefix=<VALUE>, selector=dict(type='scattergl'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(marker_colorbar_showtickprefix=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(marker_colorbar_ticksuffix=<VALUE>, selector=dict(type='scattergl'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(marker_colorbar_showticksuffix=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(marker_colorbar_separatethousands=<VALUE>, selector=dict(type='scattergl'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(marker_colorbar_exponentformat=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(marker_colorbar_minexponent=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(marker_colorbar_showexponent=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(marker_colorbar_title=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(marker_colorbar_title_text=<VALUE>, selector=dict(type='scattergl'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(marker_colorbar_title_font=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(marker_colorbar_title_font_family=<VALUE>, selector=dict(type='scattergl'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_title_font_size=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_title_font_color=<VALUE>, selector=dict(type='scattergl'))
Type: color
- family
- side
Code:fig.update_traces(marker_colorbar_title_side=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- coloraxis
Code:fig.update_traces(marker_coloraxis=<VALUE>, selector=dict(type='scattergl'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- symbol
Code:fig.update_traces(marker_symbol=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated or array of enumerateds , one of ("0"
|"0"
|"circle"
|"100"
|"100"
|"circle-open"
|"200"
|"200"
|"circle-dot"
|"300"
|"300"
|"circle-open-dot"
|"1"
|"1"
|"square"
|"101"
|"101"
|"square-open"
|"201"
|"201"
|"square-dot"
|"301"
|"301"
|"square-open-dot"
|"2"
|"2"
|"diamond"
|"102"
|"102"
|"diamond-open"
|"202"
|"202"
|"diamond-dot"
|"302"
|"302"
|"diamond-open-dot"
|"3"
|"3"
|"cross"
|"103"
|"103"
|"cross-open"
|"203"
|"203"
|"cross-dot"
|"303"
|"303"
|"cross-open-dot"
|"4"
|"4"
|"x"
|"104"
|"104"
|"x-open"
|"204"
|"204"
|"x-dot"
|"304"
|"304"
|"x-open-dot"
|"5"
|"5"
|"triangle-up"
|"105"
|"105"
|"triangle-up-open"
|"205"
|"205"
|"triangle-up-dot"
|"305"
|"305"
|"triangle-up-open-dot"
|"6"
|"6"
|"triangle-down"
|"106"
|"106"
|"triangle-down-open"
|"206"
|"206"
|"triangle-down-dot"
|"306"
|"306"
|"triangle-down-open-dot"
|"7"
|"7"
|"triangle-left"
|"107"
|"107"
|"triangle-left-open"
|"207"
|"207"
|"triangle-left-dot"
|"307"
|"307"
|"triangle-left-open-dot"
|"8"
|"8"
|"triangle-right"
|"108"
|"108"
|"triangle-right-open"
|"208"
|"208"
|"triangle-right-dot"
|"308"
|"308"
|"triangle-right-open-dot"
|"9"
|"9"
|"triangle-ne"
|"109"
|"109"
|"triangle-ne-open"
|"209"
|"209"
|"triangle-ne-dot"
|"309"
|"309"
|"triangle-ne-open-dot"
|"10"
|"10"
|"triangle-se"
|"110"
|"110"
|"triangle-se-open"
|"210"
|"210"
|"triangle-se-dot"
|"310"
|"310"
|"triangle-se-open-dot"
|"11"
|"11"
|"triangle-sw"
|"111"
|"111"
|"triangle-sw-open"
|"211"
|"211"
|"triangle-sw-dot"
|"311"
|"311"
|"triangle-sw-open-dot"
|"12"
|"12"
|"triangle-nw"
|"112"
|"112"
|"triangle-nw-open"
|"212"
|"212"
|"triangle-nw-dot"
|"312"
|"312"
|"triangle-nw-open-dot"
|"13"
|"13"
|"pentagon"
|"113"
|"113"
|"pentagon-open"
|"213"
|"213"
|"pentagon-dot"
|"313"
|"313"
|"pentagon-open-dot"
|"14"
|"14"
|"hexagon"
|"114"
|"114"
|"hexagon-open"
|"214"
|"214"
|"hexagon-dot"
|"314"
|"314"
|"hexagon-open-dot"
|"15"
|"15"
|"hexagon2"
|"115"
|"115"
|"hexagon2-open"
|"215"
|"215"
|"hexagon2-dot"
|"315"
|"315"
|"hexagon2-open-dot"
|"16"
|"16"
|"octagon"
|"116"
|"116"
|"octagon-open"
|"216"
|"216"
|"octagon-dot"
|"316"
|"316"
|"octagon-open-dot"
|"17"
|"17"
|"star"
|"117"
|"117"
|"star-open"
|"217"
|"217"
|"star-dot"
|"317"
|"317"
|"star-open-dot"
|"18"
|"18"
|"hexagram"
|"118"
|"118"
|"hexagram-open"
|"218"
|"218"
|"hexagram-dot"
|"318"
|"318"
|"hexagram-open-dot"
|"19"
|"19"
|"star-triangle-up"
|"119"
|"119"
|"star-triangle-up-open"
|"219"
|"219"
|"star-triangle-up-dot"
|"319"
|"319"
|"star-triangle-up-open-dot"
|"20"
|"20"
|"star-triangle-down"
|"120"
|"120"
|"star-triangle-down-open"
|"220"
|"220"
|"star-triangle-down-dot"
|"320"
|"320"
|"star-triangle-down-open-dot"
|"21"
|"21"
|"star-square"
|"121"
|"121"
|"star-square-open"
|"221"
|"221"
|"star-square-dot"
|"321"
|"321"
|"star-square-open-dot"
|"22"
|"22"
|"star-diamond"
|"122"
|"122"
|"star-diamond-open"
|"222"
|"222"
|"star-diamond-dot"
|"322"
|"322"
|"star-diamond-open-dot"
|"23"
|"23"
|"diamond-tall"
|"123"
|"123"
|"diamond-tall-open"
|"223"
|"223"
|"diamond-tall-dot"
|"323"
|"323"
|"diamond-tall-open-dot"
|"24"
|"24"
|"diamond-wide"
|"124"
|"124"
|"diamond-wide-open"
|"224"
|"224"
|"diamond-wide-dot"
|"324"
|"324"
|"diamond-wide-open-dot"
|"25"
|"25"
|"hourglass"
|"125"
|"125"
|"hourglass-open"
|"26"
|"26"
|"bowtie"
|"126"
|"126"
|"bowtie-open"
|"27"
|"27"
|"circle-cross"
|"127"
|"127"
|"circle-cross-open"
|"28"
|"28"
|"circle-x"
|"128"
|"128"
|"circle-x-open"
|"29"
|"29"
|"square-cross"
|"129"
|"129"
|"square-cross-open"
|"30"
|"30"
|"square-x"
|"130"
|"130"
|"square-x-open"
|"31"
|"31"
|"diamond-cross"
|"131"
|"131"
|"diamond-cross-open"
|"32"
|"32"
|"diamond-x"
|"132"
|"132"
|"diamond-x-open"
|"33"
|"33"
|"cross-thin"
|"133"
|"133"
|"cross-thin-open"
|"34"
|"34"
|"x-thin"
|"134"
|"134"
|"x-thin-open"
|"35"
|"35"
|"asterisk"
|"135"
|"135"
|"asterisk-open"
|"36"
|"36"
|"hash"
|"136"
|"136"
|"hash-open"
|"236"
|"236"
|"hash-dot"
|"336"
|"336"
|"hash-open-dot"
|"37"
|"37"
|"y-up"
|"137"
|"137"
|"y-up-open"
|"38"
|"38"
|"y-down"
|"138"
|"138"
|"y-down-open"
|"39"
|"39"
|"y-left"
|"139"
|"139"
|"y-left-open"
|"40"
|"40"
|"y-right"
|"140"
|"140"
|"y-right-open"
|"41"
|"41"
|"line-ew"
|"141"
|"141"
|"line-ew-open"
|"42"
|"42"
|"line-ns"
|"142"
|"142"
|"line-ns-open"
|"43"
|"43"
|"line-ne"
|"143"
|"143"
|"line-ne-open"
|"44"
|"44"
|"line-nw"
|"144"
|"144"
|"line-nw-open"
|"45"
|"45"
|"arrow-up"
|"145"
|"145"
|"arrow-up-open"
|"46"
|"46"
|"arrow-down"
|"146"
|"146"
|"arrow-down-open"
|"47"
|"47"
|"arrow-left"
|"147"
|"147"
|"arrow-left-open"
|"48"
|"48"
|"arrow-right"
|"148"
|"148"
|"arrow-right-open"
|"49"
|"49"
|"arrow-bar-up"
|"149"
|"149"
|"arrow-bar-up-open"
|"50"
|"50"
|"arrow-bar-down"
|"150"
|"150"
|"arrow-bar-down-open"
|"51"
|"51"
|"arrow-bar-left"
|"151"
|"151"
|"arrow-bar-left-open"
|"52"
|"52"
|"arrow-bar-right"
|"152"
|"152"
|"arrow-bar-right-open"
)
Default:"circle"
Sets the marker symbol type. Adding 100 is equivalent to appending "-open" to a symbol name. Adding 200 is equivalent to appending "-dot" to a symbol name. Adding 300 is equivalent to appending "-open-dot" or "dot-open" to a symbol name.
- size
Code:fig.update_traces(marker_size=<VALUE>, selector=dict(type='scattergl'))
Type: number or array of numbers greater than or equal to 0
Default:6
Sets the marker size (in px).
- sizeref
Code:fig.update_traces(marker_sizeref=<VALUE>, selector=dict(type='scattergl'))
Type: number
Default:1
Has an effect only if `marker.size` is set to a numerical array. Sets the scale factor used to determine the rendered size of marker points. Use with `sizemin` and `sizemode`.
- sizemin
Code:fig.update_traces(marker_sizemin=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:0
Has an effect only if `marker.size` is set to a numerical array. Sets the minimum size (in px) of the rendered marker points.
- sizemode
Code:fig.update_traces(marker_sizemode=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("diameter"
|"area"
)
Default:"diameter"
Has an effect only if `marker.size` is set to a numerical array. Sets the rule for which the data in `size` is converted to pixels.
- opacity
Code:fig.update_traces(marker_opacity=<VALUE>, selector=dict(type='scattergl'))
Type: number or array of numbers between or equal to 0 and 1Sets the marker opacity.
- line
Code:fig.update_traces(marker_line=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(marker_line_color=<VALUE>, selector=dict(type='scattergl'))
Type: color or array of colorsSets themarker.linecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.line.cmin` and `marker.line.cmax` if set.
- cauto
Code:fig.update_traces(marker_line_cauto=<VALUE>, selector=dict(type='scattergl'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.line.color`) or the bounds set in `marker.line.cmin` and `marker.line.cmax` Has an effect only if in `marker.line.color`is set to a numerical array. Defaults to `False` when `marker.line.cmin` and `marker.line.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_line_cmin=<VALUE>, selector=dict(type='scattergl'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_line_cmax=<VALUE>, selector=dict(type='scattergl'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_line_cmid=<VALUE>, selector=dict(type='scattergl'))
Type: numberSets the mid-point of the color domain by scaling `marker.line.cmin` and/or `marker.line.cmax` to be equidistant to this point. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color`. Has no effect when `marker.line.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_line_colorscale=<VALUE>, selector=dict(type='scattergl'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.line.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.line.cmin` and `marker.line.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_line_autocolorscale=<VALUE>, selector=dict(type='scattergl'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.line.colorscale`. Has an effect only if in `marker.line.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_line_reversescale=<VALUE>, selector=dict(type='scattergl'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.line.color`is set to a numerical array. If True, `marker.line.cmin` will correspond to the last color in the array and `marker.line.cmax` will correspond to the first color.
- coloraxis
Code:fig.update_traces(marker_line_coloraxis=<VALUE>, selector=dict(type='scattergl'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- width
Code:fig.update_traces(marker_line_width=<VALUE>, selector=dict(type='scattergl'))
Type: number or array of numbers greater than or equal to 0Sets the width (in px) of the lines bounding the marker points.
- color
- color
- line
Code:fig.update_traces(line=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(line_color=<VALUE>, selector=dict(type='scattergl'))
Type: colorSets the line color.
- width
Code:fig.update_traces(line_width=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:2
Sets the line width (in px).
- shape
Code:fig.update_traces(line_shape=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("linear"
|"hv"
|"vh"
|"hvh"
|"vhv"
)
Default:"linear"
Determines the line shape. The values correspond to step-wise line shapes.
- dash
Code:fig.update_traces(line_dash=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("solid"
|"dot"
|"dash"
|"longdash"
|"dashdot"
|"longdashdot"
)
Default:"solid"
Sets the style of the lines.
- color
- textfont
Code:fig.update_traces(textfont=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.Sets the text font.
- family
Code:fig.update_traces(textfont_family=<VALUE>, selector=dict(type='scattergl'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(textfont_size=<VALUE>, selector=dict(type='scattergl'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(textfont_color=<VALUE>, selector=dict(type='scattergl'))
Type: color or array of colors
- family
- error_x
Code:fig.update_traces(error_x=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(error_x_visible=<VALUE>, selector=dict(type='scattergl'))
Type: booleanDetermines whether or not this set of error bars is visible.
- type
Code:fig.update_traces(error_x_type=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("percent"
|"constant"
|"sqrt"
|"data"
)Determines the rule used to generate the error bars. If "constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`.
- symmetric
Code:fig.update_traces(error_x_symmetric=<VALUE>, selector=dict(type='scattergl'))
Type: booleanDetermines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars.
- array
Code:fig.update_traces(error_x_array=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data.
- arrayminus
Code:fig.update_traces(error_x_arrayminus=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data.
- value
Code:fig.update_traces(error_x_value=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars.
- valueminus
Code:fig.update_traces(error_x_valueminus=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars
- traceref
Code:fig.update_traces(error_x_traceref=<VALUE>, selector=dict(type='scattergl'))
Type: integer greater than or equal to 0
Default:0
- tracerefminus
Code:fig.update_traces(error_x_tracerefminus=<VALUE>, selector=dict(type='scattergl'))
Type: integer greater than or equal to 0
Default:0
- copy_ystyle
Code:fig.update_traces(error_x_copy_ystyle=<VALUE>, selector=dict(type='scattergl'))
Type: boolean - color
Code:fig.update_traces(error_x_color=<VALUE>, selector=dict(type='scattergl'))
Type: colorSets the stoke color of the error bars.
- thickness
Code:fig.update_traces(error_x_thickness=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:2
Sets the thickness (in px) of the error bars.
- width
Code:fig.update_traces(error_x_width=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0Sets the width (in px) of the cross-bar at both ends of the error bars.
- visible
- error_y
Code:fig.update_traces(error_y=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(error_y_visible=<VALUE>, selector=dict(type='scattergl'))
Type: booleanDetermines whether or not this set of error bars is visible.
- type
Code:fig.update_traces(error_y_type=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("percent"
|"constant"
|"sqrt"
|"data"
)Determines the rule used to generate the error bars. If "constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`.
- symmetric
Code:fig.update_traces(error_y_symmetric=<VALUE>, selector=dict(type='scattergl'))
Type: booleanDetermines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars.
- array
Code:fig.update_traces(error_y_array=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data.
- arrayminus
Code:fig.update_traces(error_y_arrayminus=<VALUE>, selector=dict(type='scattergl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data.
- value
Code:fig.update_traces(error_y_value=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars.
- valueminus
Code:fig.update_traces(error_y_valueminus=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars
- traceref
Code:fig.update_traces(error_y_traceref=<VALUE>, selector=dict(type='scattergl'))
Type: integer greater than or equal to 0
Default:0
- tracerefminus
Code:fig.update_traces(error_y_tracerefminus=<VALUE>, selector=dict(type='scattergl'))
Type: integer greater than or equal to 0
Default:0
- color
Code:fig.update_traces(error_y_color=<VALUE>, selector=dict(type='scattergl'))
Type: colorSets the stoke color of the error bars.
- thickness
Code:fig.update_traces(error_y_thickness=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0
Default:2
Sets the thickness (in px) of the error bars.
- width
Code:fig.update_traces(error_y_width=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0Sets the width (in px) of the cross-bar at both ends of the error bars.
- visible
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- selected
Code:fig.update_traces(selected=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(selected_marker=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(selected_marker_opacity=<VALUE>, selector=dict(type='scattergl'))
Type: number between or equal to 0 and 1Sets the marker opacity of selected points.
- color
Code:fig.update_traces(selected_marker_color=<VALUE>, selector=dict(type='scattergl'))
Type: colorSets the marker color of selected points.
- size
Code:fig.update_traces(selected_marker_size=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0Sets the marker size of selected points.
- opacity
- textfont
Code:fig.update_traces(selected_textfont=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(selected_textfont_color=<VALUE>, selector=dict(type='scattergl'))
Type: colorSets the text font color of selected points.
- color
- marker
- unselected
Code:fig.update_traces(unselected=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(unselected_marker=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(unselected_marker_opacity=<VALUE>, selector=dict(type='scattergl'))
Type: number between or equal to 0 and 1Sets the marker opacity of unselected points, applied only when a selection exists.
- color
Code:fig.update_traces(unselected_marker_color=<VALUE>, selector=dict(type='scattergl'))
Type: colorSets the marker color of unselected points, applied only when a selection exists.
- size
Code:fig.update_traces(unselected_marker_size=<VALUE>, selector=dict(type='scattergl'))
Type: number greater than or equal to 0Sets the marker size of unselected points, applied only when a selection exists.
- opacity
- textfont
Code:fig.update_traces(unselected_textfont=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(unselected_textfont_color=<VALUE>, selector=dict(type='scattergl'))
Type: colorSets the text font color of unselected points, applied only when a selection exists.
- color
- marker
- connectgaps
Code:fig.update_traces(connectgaps=<VALUE>, selector=dict(type='scattergl'))
Type: booleanDetermines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected.
- fill
Code:fig.update_traces(fill=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("none"
|"tozeroy"
|"tozerox"
|"tonexty"
|"tonextx"
|"toself"
|"tonext"
)
Default:"none"
Sets the area to fill with a solid color. Defaults to "none" unless this trace is stacked, then it gets "tonexty" ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor` if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0 respectively. "tonextx" and "tonexty" fill between the endpoints of this trace and the endpoints of the trace before it, connecting those endpoints with straight lines (to make a stacked area graph); if there is no trace before it, they behave like "tozerox" and "tozeroy". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order.
- fillcolor
Code:fig.update_traces(fillcolor=<VALUE>, selector=dict(type='scattergl'))
Type: colorSets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='scattergl'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='scattergl'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='scattergl'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='scattergl'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='scattergl'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='scattergl'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='scattergl'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- ycalendar
Code:fig.update_traces(ycalendar=<VALUE>, selector=dict(type='scattergl'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='scattergl'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
bar traces
plotly.graph_objects.Bar
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The data visualized by the span of the bars is set in `y` if `orientation` is set th "v" (the default) and the labels are set in `x`. By setting `orientation` to "h", the roles are interchanged.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='bar'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='bar'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='bar'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='bar'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate string
Default:0
Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='bar'))
Type: number
Default:1
Sets the x coordinate step. See `x0` for more info.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y coordinates.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate string
Default:0
Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='bar'))
Type: number
Default:1
Sets the y coordinate step. See `y0` for more info.
- base
Code:fig.update_traces(base=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate stringSets where the bar base is drawn (in position axis units). In "stack" or "relative" barmode, traces that set "base" will be excluded and drawn in "overlay" mode instead.
- width
Code:fig.update_traces(width=<VALUE>, selector=dict(type='bar'))
Type: number or array of numbers greater than or equal to 0Sets the bar width (in position axis units).
- offset
Code:fig.update_traces(offset=<VALUE>, selector=dict(type='bar'))
Type: number or array of numbersShifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='bar'))
Type: string or array of strings
Default:""
Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels.
- textposition
Code:fig.update_traces(textposition=<VALUE>, selector=dict(type='bar'))
Type: enumerated or array of enumerateds , one of ("inside"
|"outside"
|"auto"
|"none"
)
Default:"none"
Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside.
- texttemplate
Code:fig.update_traces(texttemplate=<VALUE>, selector=dict(type='bar'))
Type: string or array of strings
Default:""
Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variables `value` and `label`.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='bar'))
Type: string or array of strings
Default:""
Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='bar'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='bar'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variables `value` and `label`. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='bar'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='bar'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- orientation
Code:fig.update_traces(orientation=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("v"
|"h"
)Sets the orientation of the bars. With "v" ("h"), the value of the each bar spans along the vertical (horizontal).
- alignmentgroup
Code:fig.update_traces(alignmentgroup=<VALUE>, selector=dict(type='bar'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
- offsetgroup
Code:fig.update_traces(offsetgroup=<VALUE>, selector=dict(type='bar'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- yperiod
Code:fig.update_traces(yperiod=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- yperiodalignment
Code:fig.update_traces(yperiodalignment=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis.
- yperiod0
Code:fig.update_traces(yperiod0=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- line
Code:fig.update_traces(marker_line=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- width
Code:fig.update_traces(marker_line_width=<VALUE>, selector=dict(type='bar'))
Type: number or array of numbers greater than or equal to 0
Default:0
Sets the width (in px) of the lines bounding the marker points.
- color
Code:fig.update_traces(marker_line_color=<VALUE>, selector=dict(type='bar'))
Type: color or array of colorsSets themarker.linecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.line.cmin` and `marker.line.cmax` if set.
- cauto
Code:fig.update_traces(marker_line_cauto=<VALUE>, selector=dict(type='bar'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.line.color`) or the bounds set in `marker.line.cmin` and `marker.line.cmax` Has an effect only if in `marker.line.color`is set to a numerical array. Defaults to `False` when `marker.line.cmin` and `marker.line.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_line_cmin=<VALUE>, selector=dict(type='bar'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_line_cmax=<VALUE>, selector=dict(type='bar'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_line_cmid=<VALUE>, selector=dict(type='bar'))
Type: numberSets the mid-point of the color domain by scaling `marker.line.cmin` and/or `marker.line.cmax` to be equidistant to this point. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color`. Has no effect when `marker.line.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_line_colorscale=<VALUE>, selector=dict(type='bar'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.line.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.line.cmin` and `marker.line.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_line_autocolorscale=<VALUE>, selector=dict(type='bar'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.line.colorscale`. Has an effect only if in `marker.line.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_line_reversescale=<VALUE>, selector=dict(type='bar'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.line.color`is set to a numerical array. If True, `marker.line.cmin` will correspond to the last color in the array and `marker.line.cmax` will correspond to the first color.
- coloraxis
Code:fig.update_traces(marker_line_coloraxis=<VALUE>, selector=dict(type='bar'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- width
- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='bar'))
Type: color or array of colorsSets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set.
- cauto
Code:fig.update_traces(marker_cauto=<VALUE>, selector=dict(type='bar'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color`is set to a numerical array. Defaults to `False` when `marker.cmin` and `marker.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_cmin=<VALUE>, selector=dict(type='bar'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_cmax=<VALUE>, selector=dict(type='bar'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_cmid=<VALUE>, selector=dict(type='bar'))
Type: numberSets the mid-point of the color domain by scaling `marker.cmin` and/or `marker.cmax` to be equidistant to this point. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color`. Has no effect when `marker.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_colorscale=<VALUE>, selector=dict(type='bar'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_autocolorscale=<VALUE>, selector=dict(type='bar'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_reversescale=<VALUE>, selector=dict(type='bar'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.color`is set to a numerical array. If True, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color.
- showscale
Code:fig.update_traces(marker_showscale=<VALUE>, selector=dict(type='bar'))
Type: booleanDetermines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color`is set to a numerical array.
- colorbar
Code:fig.update_traces(marker_colorbar=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(marker_colorbar_thicknessmode=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(marker_colorbar_thickness=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(marker_colorbar_lenmode=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(marker_colorbar_len=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(marker_colorbar_x=<VALUE>, selector=dict(type='bar'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(marker_colorbar_xanchor=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(marker_colorbar_xpad=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(marker_colorbar_y=<VALUE>, selector=dict(type='bar'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(marker_colorbar_yanchor=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(marker_colorbar_ypad=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(marker_colorbar_outlinecolor=<VALUE>, selector=dict(type='bar'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(marker_colorbar_outlinewidth=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(marker_colorbar_bordercolor=<VALUE>, selector=dict(type='bar'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(marker_colorbar_borderwidth=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(marker_colorbar_bgcolor=<VALUE>, selector=dict(type='bar'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(marker_colorbar_tickmode=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(marker_colorbar_nticks=<VALUE>, selector=dict(type='bar'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(marker_colorbar_tick0=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(marker_colorbar_dtick=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(marker_colorbar_tickvals=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(marker_colorbar_ticktext=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(marker_colorbar_ticks=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(marker_colorbar_ticklabelposition=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(marker_colorbar_ticklen=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(marker_colorbar_tickwidth=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(marker_colorbar_tickcolor=<VALUE>, selector=dict(type='bar'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(marker_colorbar_showticklabels=<VALUE>, selector=dict(type='bar'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(marker_colorbar_tickfont=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(marker_colorbar_tickfont_family=<VALUE>, selector=dict(type='bar'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_tickfont_size=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_tickfont_color=<VALUE>, selector=dict(type='bar'))
Type: color
- family
- tickangle
Code:fig.update_traces(marker_colorbar_tickangle=<VALUE>, selector=dict(type='bar'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(marker_colorbar_tickformat=<VALUE>, selector=dict(type='bar'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(marker_colorbar_tickformatstops=list(...), selector=dict(type='bar'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=bar].marker.colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=bar].marker.colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=bar].marker.colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=bar].marker.colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=bar].marker.colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(marker_colorbar_tickprefix=<VALUE>, selector=dict(type='bar'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(marker_colorbar_showtickprefix=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(marker_colorbar_ticksuffix=<VALUE>, selector=dict(type='bar'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(marker_colorbar_showticksuffix=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(marker_colorbar_separatethousands=<VALUE>, selector=dict(type='bar'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(marker_colorbar_exponentformat=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(marker_colorbar_minexponent=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(marker_colorbar_showexponent=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(marker_colorbar_title=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(marker_colorbar_title_text=<VALUE>, selector=dict(type='bar'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(marker_colorbar_title_font=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(marker_colorbar_title_font_family=<VALUE>, selector=dict(type='bar'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_title_font_size=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_title_font_color=<VALUE>, selector=dict(type='bar'))
Type: color
- family
- side
Code:fig.update_traces(marker_colorbar_title_side=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- coloraxis
Code:fig.update_traces(marker_coloraxis=<VALUE>, selector=dict(type='bar'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- opacity
Code:fig.update_traces(marker_opacity=<VALUE>, selector=dict(type='bar'))
Type: number or array of numbers between or equal to 0 and 1
Default:1
Sets the opacity of the bars.
- line
- textangle
Code:fig.update_traces(textangle=<VALUE>, selector=dict(type='bar'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars.
- textfont
Code:fig.update_traces(textfont=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.Sets the font used for `text`.
- family
Code:fig.update_traces(textfont_family=<VALUE>, selector=dict(type='bar'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(textfont_size=<VALUE>, selector=dict(type='bar'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(textfont_color=<VALUE>, selector=dict(type='bar'))
Type: color or array of colors
- family
- error_x
Code:fig.update_traces(error_x=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(error_x_visible=<VALUE>, selector=dict(type='bar'))
Type: booleanDetermines whether or not this set of error bars is visible.
- type
Code:fig.update_traces(error_x_type=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("percent"
|"constant"
|"sqrt"
|"data"
)Determines the rule used to generate the error bars. If "constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`.
- symmetric
Code:fig.update_traces(error_x_symmetric=<VALUE>, selector=dict(type='bar'))
Type: booleanDetermines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars.
- array
Code:fig.update_traces(error_x_array=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data.
- arrayminus
Code:fig.update_traces(error_x_arrayminus=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data.
- value
Code:fig.update_traces(error_x_value=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars.
- valueminus
Code:fig.update_traces(error_x_valueminus=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars
- traceref
Code:fig.update_traces(error_x_traceref=<VALUE>, selector=dict(type='bar'))
Type: integer greater than or equal to 0
Default:0
- tracerefminus
Code:fig.update_traces(error_x_tracerefminus=<VALUE>, selector=dict(type='bar'))
Type: integer greater than or equal to 0
Default:0
- copy_ystyle
Code:fig.update_traces(error_x_copy_ystyle=<VALUE>, selector=dict(type='bar'))
Type: boolean - color
Code:fig.update_traces(error_x_color=<VALUE>, selector=dict(type='bar'))
Type: colorSets the stoke color of the error bars.
- thickness
Code:fig.update_traces(error_x_thickness=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:2
Sets the thickness (in px) of the error bars.
- width
Code:fig.update_traces(error_x_width=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0Sets the width (in px) of the cross-bar at both ends of the error bars.
- visible
- error_y
Code:fig.update_traces(error_y=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(error_y_visible=<VALUE>, selector=dict(type='bar'))
Type: booleanDetermines whether or not this set of error bars is visible.
- type
Code:fig.update_traces(error_y_type=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("percent"
|"constant"
|"sqrt"
|"data"
)Determines the rule used to generate the error bars. If "constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`.
- symmetric
Code:fig.update_traces(error_y_symmetric=<VALUE>, selector=dict(type='bar'))
Type: booleanDetermines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars.
- array
Code:fig.update_traces(error_y_array=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data.
- arrayminus
Code:fig.update_traces(error_y_arrayminus=<VALUE>, selector=dict(type='bar'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data.
- value
Code:fig.update_traces(error_y_value=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars.
- valueminus
Code:fig.update_traces(error_y_valueminus=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars
- traceref
Code:fig.update_traces(error_y_traceref=<VALUE>, selector=dict(type='bar'))
Type: integer greater than or equal to 0
Default:0
- tracerefminus
Code:fig.update_traces(error_y_tracerefminus=<VALUE>, selector=dict(type='bar'))
Type: integer greater than or equal to 0
Default:0
- color
Code:fig.update_traces(error_y_color=<VALUE>, selector=dict(type='bar'))
Type: colorSets the stoke color of the error bars.
- thickness
Code:fig.update_traces(error_y_thickness=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0
Default:2
Sets the thickness (in px) of the error bars.
- width
Code:fig.update_traces(error_y_width=<VALUE>, selector=dict(type='bar'))
Type: number greater than or equal to 0Sets the width (in px) of the cross-bar at both ends of the error bars.
- visible
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- selected
Code:fig.update_traces(selected=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(selected_marker=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(selected_marker_opacity=<VALUE>, selector=dict(type='bar'))
Type: number between or equal to 0 and 1Sets the marker opacity of selected points.
- color
Code:fig.update_traces(selected_marker_color=<VALUE>, selector=dict(type='bar'))
Type: colorSets the marker color of selected points.
- opacity
- textfont
Code:fig.update_traces(selected_textfont=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(selected_textfont_color=<VALUE>, selector=dict(type='bar'))
Type: colorSets the text font color of selected points.
- color
- marker
- unselected
Code:fig.update_traces(unselected=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(unselected_marker=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(unselected_marker_opacity=<VALUE>, selector=dict(type='bar'))
Type: number between or equal to 0 and 1Sets the marker opacity of unselected points, applied only when a selection exists.
- color
Code:fig.update_traces(unselected_marker_color=<VALUE>, selector=dict(type='bar'))
Type: colorSets the marker color of unselected points, applied only when a selection exists.
- opacity
- textfont
Code:fig.update_traces(unselected_textfont=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(unselected_textfont_color=<VALUE>, selector=dict(type='bar'))
Type: colorSets the text font color of unselected points, applied only when a selection exists.
- color
- marker
- cliponaxis
Code:fig.update_traces(cliponaxis=<VALUE>, selector=dict(type='bar'))
Type: boolean
Default:True
Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to "below traces".
- constraintext
Code:fig.update_traces(constraintext=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("inside"
|"outside"
|"both"
|"none"
)
Default:"both"
Constrain the size of text inside or outside a bar to be no larger than the bar itself.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='bar'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='bar'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='bar'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='bar'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='bar'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='bar'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='bar'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- insidetextanchor
Code:fig.update_traces(insidetextanchor=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("end"
|"middle"
|"start"
)
Default:"end"
Determines if texts are kept at center or start/end points in `textposition` "inside" mode.
- insidetextfont
Code:fig.update_traces(insidetextfont=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.Sets the font used for `text` lying inside the bar.
- family
Code:fig.update_traces(insidetextfont_family=<VALUE>, selector=dict(type='bar'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(insidetextfont_size=<VALUE>, selector=dict(type='bar'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(insidetextfont_color=<VALUE>, selector=dict(type='bar'))
Type: color or array of colors
- family
- outsidetextfont
Code:fig.update_traces(outsidetextfont=dict(...), selector=dict(type='bar'))
Type: dict containing one or more of the keys listed below.Sets the font used for `text` lying outside the bar.
- family
Code:fig.update_traces(outsidetextfont_family=<VALUE>, selector=dict(type='bar'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(outsidetextfont_size=<VALUE>, selector=dict(type='bar'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(outsidetextfont_color=<VALUE>, selector=dict(type='bar'))
Type: color or array of colors
- family
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- ycalendar
Code:fig.update_traces(ycalendar=<VALUE>, selector=dict(type='bar'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='bar'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
pie traces
plotly.graph_objects.Pie
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. A data visualized by the sectors of the pie is set in `values`. The sector labels are set in `labels`. The sector colors are set in `marker.colors`
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='pie'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- title
Code:fig.update_traces(title=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(title_text=<VALUE>, selector=dict(type='pie'))
Type: string
Default:""
Sets the title of the chart. If it is empty, no title is displayed. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(title_font=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.Sets the font used for `title`. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(title_font_family=<VALUE>, selector=dict(type='pie'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(title_font_size=<VALUE>, selector=dict(type='pie'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(title_font_color=<VALUE>, selector=dict(type='pie'))
Type: color or array of colors
- family
- position
Code:fig.update_traces(title_position=<VALUE>, selector=dict(type='pie'))
Type: enumerated , one of ("top left"
|"top center"
|"top right"
|"middle center"
|"bottom left"
|"bottom center"
|"bottom right"
)Specifies the location of the `title`. Note that the title's position used to be set by the now deprecated `titleposition` attribute.
- text
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='pie'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='pie'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='pie'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='pie'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='pie'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- values
Code:fig.update_traces(values=<VALUE>, selector=dict(type='pie'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values of the sectors. If omitted, we count occurrences of each label.
- labels
Code:fig.update_traces(labels=<VALUE>, selector=dict(type='pie'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the sector labels. If `labels` entries are duplicated, we sum associated `values` or simply count occurrences if `values` is not provided. For other array attributes (including color) we use the first non-empty entry among all occurrences of the label.
- dlabel
Code:fig.update_traces(dlabel=<VALUE>, selector=dict(type='pie'))
Type: number
Default:1
Sets the label step. See `label0` for more info.
- label0
Code:fig.update_traces(label0=<VALUE>, selector=dict(type='pie'))
Type: number
Default:0
Alternate to `labels`. Builds a numeric set of labels. Use with `dlabel` where `label0` is the starting label and `dlabel` the step.
- pull
Code:fig.update_traces(pull=<VALUE>, selector=dict(type='pie'))
Type: number or array of numbers between or equal to 0 and 1
Default:0
Sets the fraction of larger radius to pull the sectors out from the center. This can be a constant to pull all slices apart from each other equally or an array to highlight one or more slices.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='pie'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets text elements associated with each sector. If trace `textinfo` contains a "text" flag, these elements will be seen on the chart. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels.
- textposition
Code:fig.update_traces(textposition=<VALUE>, selector=dict(type='pie'))
Type: enumerated or array of enumerateds , one of ("inside"
|"outside"
|"auto"
|"none"
)
Default:"auto"
Specifies the location of the `textinfo`.
- texttemplate
Code:fig.update_traces(texttemplate=<VALUE>, selector=dict(type='pie'))
Type: string or array of strings
Default:""
Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variables `label`, `color`, `value`, `percent` and `text`.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='pie'))
Type: string or array of strings
Default:""
Sets hover text elements associated with each sector. If a single string, the same string appears for all data points. If an array of string, the items are mapped in order of this trace's sectors. To be seen, trace `hoverinfo` must contain a "text" flag.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='pie'))
Type: flaglist string. Any combination of"label"
,"text"
,"value"
,"percent"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"label"
,"text"
,"label+text"
,"label+text+value"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='pie'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variables `label`, `color`, `value`, `percent` and `text`. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='pie'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='pie'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- domain
Code:fig.update_traces(domain=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.- x
Code:fig.update_traces(domain_x=<VALUE>, selector=dict(type='pie'))
Type: list
Default:[0, 1]
Sets the horizontal domain of this pie trace (in plot fraction).
- y
Code:fig.update_traces(domain_y=<VALUE>, selector=dict(type='pie'))
Type: list
Default:[0, 1]
Sets the vertical domain of this pie trace (in plot fraction).
- row
Code:fig.update_traces(domain_row=<VALUE>, selector=dict(type='pie'))
Type: integer greater than or equal to 0
Default:0
If there is a layout grid, use the domain for this row in the grid for this pie trace .
- column
Code:fig.update_traces(domain_column=<VALUE>, selector=dict(type='pie'))
Type: integer greater than or equal to 0
Default:0
If there is a layout grid, use the domain for this column in the grid for this pie trace .
- x
- automargin
Code:fig.update_traces(automargin=<VALUE>, selector=dict(type='pie'))
Type: booleanDetermines whether outside text labels can push the margins.
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.- colors
Code:fig.update_traces(marker_colors=<VALUE>, selector=dict(type='pie'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the color of each sector. If not specified, the default trace color set is used to pick the sector colors.
- line
Code:fig.update_traces(marker_line=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(marker_line_color=<VALUE>, selector=dict(type='pie'))
Type: color or array of colors
Default:"#444"
Sets the color of the line enclosing each sector.
- width
Code:fig.update_traces(marker_line_width=<VALUE>, selector=dict(type='pie'))
Type: number or array of numbers greater than or equal to 0
Default:0
Sets the width (in px) of the line enclosing each sector.
- color
- colors
- textfont
Code:fig.update_traces(textfont=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.Sets the font used for `textinfo`.
- family
Code:fig.update_traces(textfont_family=<VALUE>, selector=dict(type='pie'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(textfont_size=<VALUE>, selector=dict(type='pie'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(textfont_color=<VALUE>, selector=dict(type='pie'))
Type: color or array of colors
- family
- textinfo
Code:fig.update_traces(textinfo=<VALUE>, selector=dict(type='pie'))
Type: flaglist string. Any combination of"label"
,"text"
,"value"
,"percent"
joined with a"+"
OR"none"
.
Examples:"label"
,"text"
,"label+text"
,"label+text+value"
,"none"
Determines which trace information appear on the graph.
- direction
Code:fig.update_traces(direction=<VALUE>, selector=dict(type='pie'))
Type: enumerated , one of ("clockwise"
|"counterclockwise"
)
Default:"counterclockwise"
Specifies the direction at which succeeding sectors follow one another.
- hole
Code:fig.update_traces(hole=<VALUE>, selector=dict(type='pie'))
Type: number between or equal to 0 and 1
Default:0
Sets the fraction of the radius to cut out of the pie. Use this to make a donut chart.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='pie'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='pie'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='pie'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='pie'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='pie'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='pie'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='pie'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- insidetextfont
Code:fig.update_traces(insidetextfont=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.Sets the font used for `textinfo` lying inside the sector.
- family
Code:fig.update_traces(insidetextfont_family=<VALUE>, selector=dict(type='pie'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(insidetextfont_size=<VALUE>, selector=dict(type='pie'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(insidetextfont_color=<VALUE>, selector=dict(type='pie'))
Type: color or array of colors
- family
- insidetextorientation
Code:fig.update_traces(insidetextorientation=<VALUE>, selector=dict(type='pie'))
Type: enumerated , one of ("horizontal"
|"radial"
|"tangential"
|"auto"
)
Default:"auto"
Controls the orientation of the text inside chart sectors. When set to "auto", text may be oriented in any direction in order to be as big as possible in the middle of a sector. The "horizontal" option orients text to be parallel with the bottom of the chart, and may make text smaller in order to achieve that goal. The "radial" option orients text along the radius of the sector. The "tangential" option orients text perpendicular to the radius of the sector.
- outsidetextfont
Code:fig.update_traces(outsidetextfont=dict(...), selector=dict(type='pie'))
Type: dict containing one or more of the keys listed below.Sets the font used for `textinfo` lying outside the sector.
- family
Code:fig.update_traces(outsidetextfont_family=<VALUE>, selector=dict(type='pie'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(outsidetextfont_size=<VALUE>, selector=dict(type='pie'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(outsidetextfont_color=<VALUE>, selector=dict(type='pie'))
Type: color or array of colors
- family
- rotation
Code:fig.update_traces(rotation=<VALUE>, selector=dict(type='pie'))
Type: number between or equal to -360 and 360
Default:0
Instead of the first slice starting at 12 o'clock, rotate to some other angle.
- scalegroup
Code:fig.update_traces(scalegroup=<VALUE>, selector=dict(type='pie'))
Type: string
Default:""
If there are multiple pie charts that should be sized according to their totals, link them by providing a non-empty group id here shared by every trace in the same group.
- sort
Code:fig.update_traces(sort=<VALUE>, selector=dict(type='pie'))
Type: boolean
Default:True
Determines whether or not the sectors are reordered from largest to smallest.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='pie'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
heatmap traces
plotly.graph_objects.Heatmap
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The data that describes the heatmap value-to-color mapping is set in `z`. Data in `z` can either be a 2D list of values (ragged or not) or a 1D array of values. In the case where `z` is a 2D list, say that `z` has N rows and M columns. Then, by default, the resulting heatmap will have N partitions along the y axis and M partitions along the x axis. In other words, the i-th row/ j-th column cell in `z` is mapped to the i-th partition of the y axis (starting from the bottom of the plot) and the j-th partition of the x-axis (starting from the left of the plot). This behavior can be flipped by using `transpose`. Moreover, `x` (`y`) can be provided with M or M+1 (N or N+1) elements. If M (N), then the coordinates correspond to the center of the heatmap cells and the cells have equal width. If M+1 (N+1), then the coordinates correspond to the edges of the heatmap cells. In the case where `z` is a 1D list, the x and y coordinates must be provided in `x` and `y` respectively to form data triplets.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='heatmap'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='heatmap'))
Type: booleanDetermines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='heatmap'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='heatmap'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='heatmap'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='heatmap'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate string
Default:0
Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='heatmap'))
Type: number
Default:1
Sets the x coordinate step. See `x0` for more info.
- xtype
Code:fig.update_traces(xtype=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("array"
|"scaled"
)If "array", the heatmap's x coordinates are given by "x" (the default behavior when `x` is provided). If "scaled", the heatmap's x coordinates are given by "x0" and "dx" (the default behavior when `x` is not provided).
- xgap
Code:fig.update_traces(xgap=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:0
Sets the horizontal gap (in pixels) between bricks.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='heatmap'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y coordinates.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate string
Default:0
Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='heatmap'))
Type: number
Default:1
Sets the y coordinate step. See `y0` for more info.
- ytype
Code:fig.update_traces(ytype=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("array"
|"scaled"
)If "array", the heatmap's y coordinates are given by "y" (the default behavior when `y` is provided) If "scaled", the heatmap's y coordinates are given by "y0" and "dy" (the default behavior when `y` is not provided)
- ygap
Code:fig.update_traces(ygap=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:0
Sets the vertical gap (in pixels) between bricks.
- z
Code:fig.update_traces(z=<VALUE>, selector=dict(type='heatmap'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the z data.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='heatmap'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text elements associated with each z value.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='heatmap'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Same as `text`.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='heatmap'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='heatmap'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='heatmap'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='heatmap'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='heatmap'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- coloraxis
Code:fig.update_traces(coloraxis=<VALUE>, selector=dict(type='heatmap'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- yperiod
Code:fig.update_traces(yperiod=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- yperiodalignment
Code:fig.update_traces(yperiodalignment=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis.
- yperiod0
Code:fig.update_traces(yperiod0=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- colorbar
Code:fig.update_traces(colorbar=dict(...), selector=dict(type='heatmap'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(colorbar_thicknessmode=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(colorbar_thickness=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(colorbar_lenmode=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(colorbar_len=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(colorbar_x=<VALUE>, selector=dict(type='heatmap'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(colorbar_xanchor=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(colorbar_xpad=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(colorbar_y=<VALUE>, selector=dict(type='heatmap'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(colorbar_yanchor=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(colorbar_ypad=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(colorbar_outlinecolor=<VALUE>, selector=dict(type='heatmap'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(colorbar_outlinewidth=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(colorbar_bordercolor=<VALUE>, selector=dict(type='heatmap'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(colorbar_borderwidth=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(colorbar_bgcolor=<VALUE>, selector=dict(type='heatmap'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(colorbar_tickmode=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(colorbar_nticks=<VALUE>, selector=dict(type='heatmap'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(colorbar_tick0=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(colorbar_dtick=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(colorbar_tickvals=<VALUE>, selector=dict(type='heatmap'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(colorbar_ticktext=<VALUE>, selector=dict(type='heatmap'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(colorbar_ticks=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(colorbar_ticklabelposition=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(colorbar_ticklen=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(colorbar_tickwidth=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(colorbar_tickcolor=<VALUE>, selector=dict(type='heatmap'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(colorbar_showticklabels=<VALUE>, selector=dict(type='heatmap'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(colorbar_tickfont=dict(...), selector=dict(type='heatmap'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(colorbar_tickfont_family=<VALUE>, selector=dict(type='heatmap'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_tickfont_size=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_tickfont_color=<VALUE>, selector=dict(type='heatmap'))
Type: color
- family
- tickangle
Code:fig.update_traces(colorbar_tickangle=<VALUE>, selector=dict(type='heatmap'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(colorbar_tickformat=<VALUE>, selector=dict(type='heatmap'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(colorbar_tickformatstops=list(...), selector=dict(type='heatmap'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=heatmap].colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=heatmap].colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=heatmap].colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=heatmap].colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=heatmap].colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(colorbar_tickprefix=<VALUE>, selector=dict(type='heatmap'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(colorbar_showtickprefix=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(colorbar_ticksuffix=<VALUE>, selector=dict(type='heatmap'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(colorbar_showticksuffix=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(colorbar_separatethousands=<VALUE>, selector=dict(type='heatmap'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(colorbar_exponentformat=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(colorbar_minexponent=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(colorbar_showexponent=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(colorbar_title=dict(...), selector=dict(type='heatmap'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(colorbar_title_text=<VALUE>, selector=dict(type='heatmap'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(colorbar_title_font=dict(...), selector=dict(type='heatmap'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(colorbar_title_font_family=<VALUE>, selector=dict(type='heatmap'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_title_font_size=<VALUE>, selector=dict(type='heatmap'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_title_font_color=<VALUE>, selector=dict(type='heatmap'))
Type: color
- family
- side
Code:fig.update_traces(colorbar_title_side=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- autocolorscale
Code:fig.update_traces(autocolorscale=<VALUE>, selector=dict(type='heatmap'))
Type: booleanDetermines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- colorscale
Code:fig.update_traces(colorscale=<VALUE>, selector=dict(type='heatmap'))
Type: colorscaleSets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- showscale
Code:fig.update_traces(showscale=<VALUE>, selector=dict(type='heatmap'))
Type: boolean
Default:True
Determines whether or not a colorbar is displayed for this trace.
- reversescale
Code:fig.update_traces(reversescale=<VALUE>, selector=dict(type='heatmap'))
Type: booleanReverses the color mapping if True. If True, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.
- zauto
Code:fig.update_traces(zauto=<VALUE>, selector=dict(type='heatmap'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `False` when `zmin` and `zmax` are set by the user.
- zhoverformat
Code:fig.update_traces(zhoverformat=<VALUE>, selector=dict(type='heatmap'))
Type: string
Default:""
Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. See: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format
- zmax
Code:fig.update_traces(zmax=<VALUE>, selector=dict(type='heatmap'))
Type: numberSets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well.
- zmid
Code:fig.update_traces(zmid=<VALUE>, selector=dict(type='heatmap'))
Type: numberSets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `False`.
- zmin
Code:fig.update_traces(zmin=<VALUE>, selector=dict(type='heatmap'))
Type: numberSets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well.
- zsmooth
Code:fig.update_traces(zsmooth=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("fast"
|"best"
|False
)Picks a smoothing algorithm use to smooth `z` data.
- connectgaps
Code:fig.update_traces(connectgaps=<VALUE>, selector=dict(type='heatmap'))
Type: booleanDetermines whether or not gaps (i.e. {nan} or missing values) in the `z` data are filled in. It is defaulted to True if `z` is a one dimensional array and `zsmooth` is not False; otherwise it is defaulted to False.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='heatmap'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='heatmap'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='heatmap'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='heatmap'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='heatmap'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='heatmap'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='heatmap'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='heatmap'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- hoverongaps
Code:fig.update_traces(hoverongaps=<VALUE>, selector=dict(type='heatmap'))
Type: boolean
Default:True
Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data have hover labels associated with them.
- transpose
Code:fig.update_traces(transpose=<VALUE>, selector=dict(type='heatmap'))
Type: booleanTransposes the z data.
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- ycalendar
Code:fig.update_traces(ycalendar=<VALUE>, selector=dict(type='heatmap'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='heatmap'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
heatmapgl traces
plotly.graph_objects.Heatmapgl
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. WebGL version of the heatmap trace type.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='heatmapgl'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='heatmapgl'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='heatmapgl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='heatmapgl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='heatmapgl'))
Type: number or categorical coordinate string
Default:0
Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='heatmapgl'))
Type: number
Default:1
Sets the x coordinate step. See `x0` for more info.
- xtype
Code:fig.update_traces(xtype=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("array"
|"scaled"
)If "array", the heatmap's x coordinates are given by "x" (the default behavior when `x` is provided). If "scaled", the heatmap's x coordinates are given by "x0" and "dx" (the default behavior when `x` is not provided).
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='heatmapgl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y coordinates.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='heatmapgl'))
Type: number or categorical coordinate string
Default:0
Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='heatmapgl'))
Type: number
Default:1
Sets the y coordinate step. See `y0` for more info.
- ytype
Code:fig.update_traces(ytype=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("array"
|"scaled"
)If "array", the heatmap's y coordinates are given by "y" (the default behavior when `y` is provided) If "scaled", the heatmap's y coordinates are given by "y0" and "dy" (the default behavior when `y` is not provided)
- z
Code:fig.update_traces(z=<VALUE>, selector=dict(type='heatmapgl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the z data.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='heatmapgl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text elements associated with each z value.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='heatmapgl'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='heatmapgl'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='heatmapgl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='heatmapgl'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='heatmapgl'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- coloraxis
Code:fig.update_traces(coloraxis=<VALUE>, selector=dict(type='heatmapgl'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- colorbar
Code:fig.update_traces(colorbar=dict(...), selector=dict(type='heatmapgl'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(colorbar_thicknessmode=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(colorbar_thickness=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(colorbar_lenmode=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(colorbar_len=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(colorbar_x=<VALUE>, selector=dict(type='heatmapgl'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(colorbar_xanchor=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(colorbar_xpad=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(colorbar_y=<VALUE>, selector=dict(type='heatmapgl'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(colorbar_yanchor=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(colorbar_ypad=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(colorbar_outlinecolor=<VALUE>, selector=dict(type='heatmapgl'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(colorbar_outlinewidth=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(colorbar_bordercolor=<VALUE>, selector=dict(type='heatmapgl'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(colorbar_borderwidth=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(colorbar_bgcolor=<VALUE>, selector=dict(type='heatmapgl'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(colorbar_tickmode=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(colorbar_nticks=<VALUE>, selector=dict(type='heatmapgl'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(colorbar_tick0=<VALUE>, selector=dict(type='heatmapgl'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(colorbar_dtick=<VALUE>, selector=dict(type='heatmapgl'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(colorbar_tickvals=<VALUE>, selector=dict(type='heatmapgl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(colorbar_ticktext=<VALUE>, selector=dict(type='heatmapgl'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(colorbar_ticks=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(colorbar_ticklabelposition=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(colorbar_ticklen=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(colorbar_tickwidth=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(colorbar_tickcolor=<VALUE>, selector=dict(type='heatmapgl'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(colorbar_showticklabels=<VALUE>, selector=dict(type='heatmapgl'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(colorbar_tickfont=dict(...), selector=dict(type='heatmapgl'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(colorbar_tickfont_family=<VALUE>, selector=dict(type='heatmapgl'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_tickfont_size=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_tickfont_color=<VALUE>, selector=dict(type='heatmapgl'))
Type: color
- family
- tickangle
Code:fig.update_traces(colorbar_tickangle=<VALUE>, selector=dict(type='heatmapgl'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(colorbar_tickformat=<VALUE>, selector=dict(type='heatmapgl'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(colorbar_tickformatstops=list(...), selector=dict(type='heatmapgl'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=heatmapgl].colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=heatmapgl].colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=heatmapgl].colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=heatmapgl].colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=heatmapgl].colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(colorbar_tickprefix=<VALUE>, selector=dict(type='heatmapgl'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(colorbar_showtickprefix=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(colorbar_ticksuffix=<VALUE>, selector=dict(type='heatmapgl'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(colorbar_showticksuffix=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(colorbar_separatethousands=<VALUE>, selector=dict(type='heatmapgl'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(colorbar_exponentformat=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(colorbar_minexponent=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(colorbar_showexponent=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(colorbar_title=dict(...), selector=dict(type='heatmapgl'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(colorbar_title_text=<VALUE>, selector=dict(type='heatmapgl'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(colorbar_title_font=dict(...), selector=dict(type='heatmapgl'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(colorbar_title_font_family=<VALUE>, selector=dict(type='heatmapgl'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_title_font_size=<VALUE>, selector=dict(type='heatmapgl'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_title_font_color=<VALUE>, selector=dict(type='heatmapgl'))
Type: color
- family
- side
Code:fig.update_traces(colorbar_title_side=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- autocolorscale
Code:fig.update_traces(autocolorscale=<VALUE>, selector=dict(type='heatmapgl'))
Type: booleanDetermines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- colorscale
Code:fig.update_traces(colorscale=<VALUE>, selector=dict(type='heatmapgl'))
Type: colorscaleSets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- showscale
Code:fig.update_traces(showscale=<VALUE>, selector=dict(type='heatmapgl'))
Type: boolean
Default:True
Determines whether or not a colorbar is displayed for this trace.
- reversescale
Code:fig.update_traces(reversescale=<VALUE>, selector=dict(type='heatmapgl'))
Type: booleanReverses the color mapping if True. If True, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.
- zauto
Code:fig.update_traces(zauto=<VALUE>, selector=dict(type='heatmapgl'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `False` when `zmin` and `zmax` are set by the user.
- zmax
Code:fig.update_traces(zmax=<VALUE>, selector=dict(type='heatmapgl'))
Type: numberSets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well.
- zmid
Code:fig.update_traces(zmid=<VALUE>, selector=dict(type='heatmapgl'))
Type: numberSets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `False`.
- zmin
Code:fig.update_traces(zmin=<VALUE>, selector=dict(type='heatmapgl'))
Type: numberSets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well.
- zsmooth
Code:fig.update_traces(zsmooth=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated , one of ("fast"
|False
)
Default:"fast"
Picks a smoothing algorithm use to smooth `z` data.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='heatmapgl'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='heatmapgl'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='heatmapgl'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='heatmapgl'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='heatmapgl'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='heatmapgl'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='heatmapgl'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='heatmapgl'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='heatmapgl'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- transpose
Code:fig.update_traces(transpose=<VALUE>, selector=dict(type='heatmapgl'))
Type: booleanTransposes the z data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='heatmapgl'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
image traces
plotly.graph_objects.Image
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. Display an image, i.e. data on a 2D regular raster. By default, when an image is displayed in a subplot, its y axis will be reversed (ie. `autorange: 'reversed'`), constrained to the domain (ie. `constrain: 'domain'`) and it will have the same scale as its x axis (ie. `scaleanchor: 'x,`) in order for pixels to be rendered as squares.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='image'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='image'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='image'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='image'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='image'))
Type: number or categorical coordinate string
Default:0
Set the image's x position.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='image'))
Type: number
Default:1
Set the pixel's horizontal size.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='image'))
Type: number or categorical coordinate string
Default:0
Set the image's y position.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='image'))
Type: number
Default:1
Set the pixel's vertical size
- z
Code:fig.update_traces(z=<VALUE>, selector=dict(type='image'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.A 2-dimensional array in which each element is an array of 3 or 4 numbers representing a color.
- source
Code:fig.update_traces(source=<VALUE>, selector=dict(type='image'))
Type: stringSpecifies the data URI of the image to be visualized. The URI consists of "data:image/[<media subtype>][;base64],<data>"
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='image'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text elements associated with each z value.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='image'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Same as `text`.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='image'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"color"
,"name"
,"text"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"x+y+z+text+name"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='image'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variables `z`, `color` and `colormodel`. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='image'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='image'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='image'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='image'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- colormodel
Code:fig.update_traces(colormodel=<VALUE>, selector=dict(type='image'))
Type: enumerated , one of ("rgb"
|"rgba"
|"rgba256"
|"hsl"
|"hsla"
)Color model used to map the numerical color components described in `z` into colors. If `source` is specified, this attribute will be set to `rgba256` otherwise it defaults to `rgb`.
- zmax
Code:fig.update_traces(zmax=<VALUE>, selector=dict(type='image'))
Type: listArray defining the higher bound for each color component. Note that the default value will depend on the colormodel. For the `rgb` colormodel, it is [255, 255, 255]. For the `rgba` colormodel, it is [255, 255, 255, 1]. For the `rgba256` colormodel, it is [255, 255, 255, 255]. For the `hsl` colormodel, it is [360, 100, 100]. For the `hsla` colormodel, it is [360, 100, 100, 1].
- zmin
Code:fig.update_traces(zmin=<VALUE>, selector=dict(type='image'))
Type: listArray defining the lower bound for each color component. Note that the default value will depend on the colormodel. For the `rgb` colormodel, it is [0, 0, 0]. For the `rgba` colormodel, it is [0, 0, 0, 0]. For the `rgba256` colormodel, it is [0, 0, 0, 0]. For the `hsl` colormodel, it is [0, 0, 0]. For the `hsla` colormodel, it is [0, 0, 0, 0].
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='image'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='image'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='image'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='image'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='image'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='image'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='image'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='image'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='image'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='image'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
contour traces
plotly.graph_objects.Contour
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The data from which contour lines are computed is set in `z`. Data in `z` must be a 2D list of numbers. Say that `z` has N rows and M columns, then by default, these N rows correspond to N y coordinates (set in `y` or auto-generated) and the M columns correspond to M x coordinates (set in `x` or auto-generated). By setting `transpose` to "True", the above behavior is flipped.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='contour'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='contour'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='contour'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='contour'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='contour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='contour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate string
Default:0
Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='contour'))
Type: number
Default:1
Sets the x coordinate step. See `x0` for more info.
- xtype
Code:fig.update_traces(xtype=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("array"
|"scaled"
)If "array", the heatmap's x coordinates are given by "x" (the default behavior when `x` is provided). If "scaled", the heatmap's x coordinates are given by "x0" and "dx" (the default behavior when `x` is not provided).
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='contour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y coordinates.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate string
Default:0
Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='contour'))
Type: number
Default:1
Sets the y coordinate step. See `y0` for more info.
- ytype
Code:fig.update_traces(ytype=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("array"
|"scaled"
)If "array", the heatmap's y coordinates are given by "y" (the default behavior when `y` is provided) If "scaled", the heatmap's y coordinates are given by "y0" and "dy" (the default behavior when `y` is not provided)
- z
Code:fig.update_traces(z=<VALUE>, selector=dict(type='contour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the z data.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='contour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text elements associated with each z value.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='contour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Same as `text`.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='contour'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='contour'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='contour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='contour'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='contour'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- coloraxis
Code:fig.update_traces(coloraxis=<VALUE>, selector=dict(type='contour'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- yperiod
Code:fig.update_traces(yperiod=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- yperiodalignment
Code:fig.update_traces(yperiodalignment=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis.
- yperiod0
Code:fig.update_traces(yperiod0=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- line
Code:fig.update_traces(line=dict(...), selector=dict(type='contour'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(line_color=<VALUE>, selector=dict(type='contour'))
Type: colorSets the color of the contour level. Has no effect if `contours.coloring` is set to "lines".
- width
Code:fig.update_traces(line_width=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0Sets the contour line width in (in px) Defaults to "0.5" when `contours.type` is "levels". Defaults to "2" when `contour.type` is "constraint".
- dash
Code:fig.update_traces(line_dash=<VALUE>, selector=dict(type='contour'))
Type: string
Default:"solid"
Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px").
- smoothing
Code:fig.update_traces(line_smoothing=<VALUE>, selector=dict(type='contour'))
Type: number between or equal to 0 and 1.3
Default:1
Sets the amount of smoothing for the contour lines, where "0" corresponds to no smoothing.
- color
- colorbar
Code:fig.update_traces(colorbar=dict(...), selector=dict(type='contour'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(colorbar_thicknessmode=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(colorbar_thickness=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(colorbar_lenmode=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(colorbar_len=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(colorbar_x=<VALUE>, selector=dict(type='contour'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(colorbar_xanchor=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(colorbar_xpad=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(colorbar_y=<VALUE>, selector=dict(type='contour'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(colorbar_yanchor=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(colorbar_ypad=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(colorbar_outlinecolor=<VALUE>, selector=dict(type='contour'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(colorbar_outlinewidth=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(colorbar_bordercolor=<VALUE>, selector=dict(type='contour'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(colorbar_borderwidth=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(colorbar_bgcolor=<VALUE>, selector=dict(type='contour'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(colorbar_tickmode=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(colorbar_nticks=<VALUE>, selector=dict(type='contour'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(colorbar_tick0=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(colorbar_dtick=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(colorbar_tickvals=<VALUE>, selector=dict(type='contour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(colorbar_ticktext=<VALUE>, selector=dict(type='contour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(colorbar_ticks=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(colorbar_ticklabelposition=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(colorbar_ticklen=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(colorbar_tickwidth=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(colorbar_tickcolor=<VALUE>, selector=dict(type='contour'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(colorbar_showticklabels=<VALUE>, selector=dict(type='contour'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(colorbar_tickfont=dict(...), selector=dict(type='contour'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(colorbar_tickfont_family=<VALUE>, selector=dict(type='contour'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_tickfont_size=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_tickfont_color=<VALUE>, selector=dict(type='contour'))
Type: color
- family
- tickangle
Code:fig.update_traces(colorbar_tickangle=<VALUE>, selector=dict(type='contour'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(colorbar_tickformat=<VALUE>, selector=dict(type='contour'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(colorbar_tickformatstops=list(...), selector=dict(type='contour'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=contour].colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=contour].colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=contour].colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=contour].colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=contour].colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(colorbar_tickprefix=<VALUE>, selector=dict(type='contour'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(colorbar_showtickprefix=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(colorbar_ticksuffix=<VALUE>, selector=dict(type='contour'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(colorbar_showticksuffix=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(colorbar_separatethousands=<VALUE>, selector=dict(type='contour'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(colorbar_exponentformat=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(colorbar_minexponent=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(colorbar_showexponent=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(colorbar_title=dict(...), selector=dict(type='contour'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(colorbar_title_text=<VALUE>, selector=dict(type='contour'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(colorbar_title_font=dict(...), selector=dict(type='contour'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(colorbar_title_font_family=<VALUE>, selector=dict(type='contour'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_title_font_size=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_title_font_color=<VALUE>, selector=dict(type='contour'))
Type: color
- family
- side
Code:fig.update_traces(colorbar_title_side=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- autocolorscale
Code:fig.update_traces(autocolorscale=<VALUE>, selector=dict(type='contour'))
Type: booleanDetermines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- colorscale
Code:fig.update_traces(colorscale=<VALUE>, selector=dict(type='contour'))
Type: colorscaleSets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- showscale
Code:fig.update_traces(showscale=<VALUE>, selector=dict(type='contour'))
Type: boolean
Default:True
Determines whether or not a colorbar is displayed for this trace.
- reversescale
Code:fig.update_traces(reversescale=<VALUE>, selector=dict(type='contour'))
Type: booleanReverses the color mapping if True. If True, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.
- zauto
Code:fig.update_traces(zauto=<VALUE>, selector=dict(type='contour'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `False` when `zmin` and `zmax` are set by the user.
- zhoverformat
Code:fig.update_traces(zhoverformat=<VALUE>, selector=dict(type='contour'))
Type: string
Default:""
Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. See: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format
- zmax
Code:fig.update_traces(zmax=<VALUE>, selector=dict(type='contour'))
Type: numberSets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well.
- zmid
Code:fig.update_traces(zmid=<VALUE>, selector=dict(type='contour'))
Type: numberSets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `False`.
- zmin
Code:fig.update_traces(zmin=<VALUE>, selector=dict(type='contour'))
Type: numberSets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well.
- autocontour
Code:fig.update_traces(autocontour=<VALUE>, selector=dict(type='contour'))
Type: boolean
Default:True
Determines whether or not the contour level attributes are picked by an algorithm. If "True", the number of contour levels can be set in `ncontours`. If "False", set the contour level attributes in `contours`.
- connectgaps
Code:fig.update_traces(connectgaps=<VALUE>, selector=dict(type='contour'))
Type: booleanDetermines whether or not gaps (i.e. {nan} or missing values) in the `z` data are filled in. It is defaulted to True if `z` is a one dimensional array otherwise it is defaulted to False.
- contours
Code:fig.update_traces(contours=dict(...), selector=dict(type='contour'))
Type: dict containing one or more of the keys listed below.- type
Code:fig.update_traces(contours_type=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("levels"
|"constraint"
)
Default:"levels"
If `levels`, the data is represented as a contour plot with multiple levels displayed. If `constraint`, the data is represented as constraints with the invalid region shaded as specified by the `operation` and `value` parameters.
- start
Code:fig.update_traces(contours_start=<VALUE>, selector=dict(type='contour'))
Type: numberSets the starting contour level value. Must be less than `contours.end`
- end
Code:fig.update_traces(contours_end=<VALUE>, selector=dict(type='contour'))
Type: numberSets the end contour level value. Must be more than `contours.start`
- size
Code:fig.update_traces(contours_size=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 0Sets the step between each contour level. Must be positive.
- coloring
Code:fig.update_traces(contours_coloring=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("fill"
|"heatmap"
|"lines"
|"none"
)
Default:"fill"
Determines the coloring method showing the contour values. If "fill", coloring is done evenly between each contour level If "heatmap", a heatmap gradient coloring is applied between each contour level. If "lines", coloring is done on the contour lines. If "none", no coloring is applied on this trace.
- showlines
Code:fig.update_traces(contours_showlines=<VALUE>, selector=dict(type='contour'))
Type: boolean
Default:True
Determines whether or not the contour lines are drawn. Has an effect only if `contours.coloring` is set to "fill".
- showlabels
Code:fig.update_traces(contours_showlabels=<VALUE>, selector=dict(type='contour'))
Type: booleanDetermines whether to label the contour lines with their values.
- labelfont
Code:fig.update_traces(contours_labelfont=dict(...), selector=dict(type='contour'))
Type: dict containing one or more of the keys listed below.Sets the font used for labeling the contour levels. The default color comes from the lines, if shown. The default family and size come from `layout.font`.
- family
Code:fig.update_traces(contours_labelfont_family=<VALUE>, selector=dict(type='contour'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(contours_labelfont_size=<VALUE>, selector=dict(type='contour'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(contours_labelfont_color=<VALUE>, selector=dict(type='contour'))
Type: color
- family
- labelformat
Code:fig.update_traces(contours_labelformat=<VALUE>, selector=dict(type='contour'))
Type: string
Default:""
Sets the contour label formatting rule using d3 formatting mini-language which is very similar to Python, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format
- operation
Code:fig.update_traces(contours_operation=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("="
|"<"
|">="
|">"
|"<="
|"[]"
|"()"
|"[)"
|"(]"
|"]["
|")("
|"]("
|")["
)
Default:"="
Sets the constraint operation. "=" keeps regions equal to `value` "<" and "<=" keep regions less than `value` ">" and ">=" keep regions greater than `value` "[]", "()", "[)", and "(]" keep regions inside `value[0]` to `value[1]` "][", ")(", "](", ")[" keep regions outside `value[0]` to value[1]` Open vs. closed intervals make no difference to constraint display, but all versions are allowed for consistency with filter transforms.
- value
Code:fig.update_traces(contours_value=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate string
Default:0
Sets the value or values of the constraint boundary. When `operation` is set to one of the comparison values (=,<,>=,>,<=) "value" is expected to be a number. When `operation` is set to one of the interval values ([],(),[),(],][,)(,](,)[) "value" is expected to be an array of two numbers where the first is the lower bound and the second is the upper bound.
- type
- fillcolor
Code:fig.update_traces(fillcolor=<VALUE>, selector=dict(type='contour'))
Type: colorSets the fill color if `contours.type` is "constraint". Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='contour'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='contour'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='contour'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='contour'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='contour'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='contour'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='contour'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='contour'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='contour'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- hoverongaps
Code:fig.update_traces(hoverongaps=<VALUE>, selector=dict(type='contour'))
Type: boolean
Default:True
Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data have hover labels associated with them.
- ncontours
Code:fig.update_traces(ncontours=<VALUE>, selector=dict(type='contour'))
Type: integer greater than or equal to 1
Default:15
Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is "True" or if `contours.size` is missing.
- transpose
Code:fig.update_traces(transpose=<VALUE>, selector=dict(type='contour'))
Type: booleanTransposes the z data.
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- ycalendar
Code:fig.update_traces(ycalendar=<VALUE>, selector=dict(type='contour'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='contour'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
table traces
plotly.graph_objects.Table
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. Table view for detailed data viewing. The data are arranged in a grid of rows and columns. Most styling can be specified for columns, rows or individual cells. Table is using a column-major order, ie. the grid is represented as a vector of column vectors.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='table'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='table'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='table'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- columnorder
Code:fig.update_traces(columnorder=<VALUE>, selector=dict(type='table'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Specifies the rendered order of the data columns; for example, a value `2` at position `0` means that column index `0` in the data will be rendered as the third column, as columns have an index base of zero.
- columnwidth
Code:fig.update_traces(columnwidth=<VALUE>, selector=dict(type='table'))
Type: number or array of numbersThe width of columns expressed as a ratio. Columns fill the available width in proportion of their specified column widths.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='table'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='table'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='table'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- domain
Code:fig.update_traces(domain=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below.- x
Code:fig.update_traces(domain_x=<VALUE>, selector=dict(type='table'))
Type: list
Default:[0, 1]
Sets the horizontal domain of this table trace (in plot fraction).
- y
Code:fig.update_traces(domain_y=<VALUE>, selector=dict(type='table'))
Type: list
Default:[0, 1]
Sets the vertical domain of this table trace (in plot fraction).
- row
Code:fig.update_traces(domain_row=<VALUE>, selector=dict(type='table'))
Type: integer greater than or equal to 0
Default:0
If there is a layout grid, use the domain for this row in the grid for this table trace .
- column
Code:fig.update_traces(domain_column=<VALUE>, selector=dict(type='table'))
Type: integer greater than or equal to 0
Default:0
If there is a layout grid, use the domain for this column in the grid for this table trace .
- x
- cells
Code:fig.update_traces(cells=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below.- values
Code:fig.update_traces(cells_values=<VALUE>, selector=dict(type='table'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.
Default:Cell values. `values[m][n]` represents the value of the `n`th point in column `m`, therefore the `values[m]` vector length for all columns must be the same (longer vectors will be truncated). Each value must be a finite number or a string.
- format
Code:fig.update_traces(cells_format=<VALUE>, selector=dict(type='table'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.
Default:Sets the cell value formatting rule using d3 formatting mini-language which is similar to those of Python. See https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format
- prefix
Code:fig.update_traces(cells_prefix=<VALUE>, selector=dict(type='table'))
Type: string or array of stringsPrefix for cell values.
- suffix
Code:fig.update_traces(cells_suffix=<VALUE>, selector=dict(type='table'))
Type: string or array of stringsSuffix for cell values.
- height
Code:fig.update_traces(cells_height=<VALUE>, selector=dict(type='table'))
Type: number
Default:20
The height of cells.
- align
Code:fig.update_traces(cells_align=<VALUE>, selector=dict(type='table'))
Type: enumerated or array of enumerateds , one of ("left"
|"center"
|"right"
)
Default:"center"
Sets the horizontal alignment of the `text` within the box. Has an effect only if `text` spans two or more lines (i.e. `text` contains one or more <br> HTML tags) or if an explicit width is set to override the text width.
- line
Code:fig.update_traces(cells_line=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below. - fill
Code:fig.update_traces(cells_fill=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(cells_fill_color=<VALUE>, selector=dict(type='table'))
Type: color or array of colors
Default:"white"
Sets the cell fill color. It accepts either a specific color or an array of colors or a 2D array of colors.
- color
- font
Code:fig.update_traces(cells_font=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below.- family
Code:fig.update_traces(cells_font_family=<VALUE>, selector=dict(type='table'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(cells_font_size=<VALUE>, selector=dict(type='table'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(cells_font_color=<VALUE>, selector=dict(type='table'))
Type: color or array of colors
- family
- values
- header
Code:fig.update_traces(header=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below.- values
Code:fig.update_traces(header_values=<VALUE>, selector=dict(type='table'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.
Default:Header cell values. `values[m][n]` represents the value of the `n`th point in column `m`, therefore the `values[m]` vector length for all columns must be the same (longer vectors will be truncated). Each value must be a finite number or a string.
- format
Code:fig.update_traces(header_format=<VALUE>, selector=dict(type='table'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.
Default:Sets the cell value formatting rule using d3 formatting mini-language which is similar to those of Python. See https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format
- prefix
Code:fig.update_traces(header_prefix=<VALUE>, selector=dict(type='table'))
Type: string or array of stringsPrefix for cell values.
- suffix
Code:fig.update_traces(header_suffix=<VALUE>, selector=dict(type='table'))
Type: string or array of stringsSuffix for cell values.
- height
Code:fig.update_traces(header_height=<VALUE>, selector=dict(type='table'))
Type: number
Default:28
The height of cells.
- align
Code:fig.update_traces(header_align=<VALUE>, selector=dict(type='table'))
Type: enumerated or array of enumerateds , one of ("left"
|"center"
|"right"
)
Default:"center"
Sets the horizontal alignment of the `text` within the box. Has an effect only if `text` spans two or more lines (i.e. `text` contains one or more <br> HTML tags) or if an explicit width is set to override the text width.
- line
Code:fig.update_traces(header_line=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below. - fill
Code:fig.update_traces(header_fill=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(header_fill_color=<VALUE>, selector=dict(type='table'))
Type: color or array of colors
Default:"white"
Sets the cell fill color. It accepts either a specific color or an array of colors or a 2D array of colors.
- color
- font
Code:fig.update_traces(header_font=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below.- family
Code:fig.update_traces(header_font_family=<VALUE>, selector=dict(type='table'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(header_font_size=<VALUE>, selector=dict(type='table'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(header_font_color=<VALUE>, selector=dict(type='table'))
Type: color or array of colors
- family
- values
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='table'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='table'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='table'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='table'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='table'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='table'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='table'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='table'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='table'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
box traces
plotly.graph_objects.Box
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. Each box spans from quartile 1 (Q1) to quartile 3 (Q3). The second quartile (Q2, i.e. the median) is marked by a line inside the box. The fences grow outward from the boxes' edges, by default they span +/- 1.5 times the interquartile range (IQR: Q3-Q1), The sample mean and standard deviation as well as notches and the sample, outlier and suspected outliers points can be optionally added to the box plot. The values and positions corresponding to each boxes can be input using two signatures. The first signature expects users to supply the sample values in the `y` data array for vertical boxes (`x` for horizontal boxes). By supplying an `x` (`y`) array, one box per distinct `x` (`y`) value is drawn If no `x` (`y`) list is provided, a single box is drawn. In this case, the box is positioned with the trace `name` or with `x0` (`y0`) if provided. The second signature expects users to supply the boxes corresponding Q1, median and Q3 statistics in the `q1`, `median` and `q3` data arrays respectively. Other box features relying on statistics namely `lowerfence`, `upperfence`, `notchspan` can be set directly by the users. To have plotly compute them or to show sample points besides the boxes, users can set the `y` data array for vertical boxes (`x` for horizontal boxes) to a 2D array with the outer length corresponding to the number of boxes in the traces and the inner length corresponding the sample size.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='box'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover. For box traces, the name will also be used for the position coordinate, if `x` and `x0` (`y` and `y0` if horizontal) are missing and the position axis is categorical
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='box'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='box'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x sample data or coordinates. See overview for more info.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringSets the x coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='box'))
Type: numberSets the x coordinate step for multi-box traces set using q1/median/q3.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y sample data or coordinates. See overview for more info.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringSets the y coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='box'))
Type: numberSets the y coordinate step for multi-box traces set using q1/median/q3.
- width
Code:fig.update_traces(width=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0
Default:0
Sets the width of the box in data coordinate If "0" (default value) the width is automatically selected based on the positions of other box traces in the same subplot.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='box'))
Type: string or array of strings
Default:""
Sets the text elements associated with each sample value. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='box'))
Type: string or array of strings
Default:""
Same as `text`.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='box'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='box'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='box'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='box'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- orientation
Code:fig.update_traces(orientation=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("v"
|"h"
)Sets the orientation of the box(es). If "v" ("h"), the distribution is visualized along the vertical (horizontal).
- alignmentgroup
Code:fig.update_traces(alignmentgroup=<VALUE>, selector=dict(type='box'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
- offsetgroup
Code:fig.update_traces(offsetgroup=<VALUE>, selector=dict(type='box'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- yperiod
Code:fig.update_traces(yperiod=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- yperiodalignment
Code:fig.update_traces(yperiodalignment=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis.
- yperiod0
Code:fig.update_traces(yperiod0=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- outliercolor
Code:fig.update_traces(marker_outliercolor=<VALUE>, selector=dict(type='box'))
Type: color
Default:"rgba(0, 0, 0, 0)"
Sets the color of the outlier sample points.
- symbol
Code:fig.update_traces(marker_symbol=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("0"
|"0"
|"circle"
|"100"
|"100"
|"circle-open"
|"200"
|"200"
|"circle-dot"
|"300"
|"300"
|"circle-open-dot"
|"1"
|"1"
|"square"
|"101"
|"101"
|"square-open"
|"201"
|"201"
|"square-dot"
|"301"
|"301"
|"square-open-dot"
|"2"
|"2"
|"diamond"
|"102"
|"102"
|"diamond-open"
|"202"
|"202"
|"diamond-dot"
|"302"
|"302"
|"diamond-open-dot"
|"3"
|"3"
|"cross"
|"103"
|"103"
|"cross-open"
|"203"
|"203"
|"cross-dot"
|"303"
|"303"
|"cross-open-dot"
|"4"
|"4"
|"x"
|"104"
|"104"
|"x-open"
|"204"
|"204"
|"x-dot"
|"304"
|"304"
|"x-open-dot"
|"5"
|"5"
|"triangle-up"
|"105"
|"105"
|"triangle-up-open"
|"205"
|"205"
|"triangle-up-dot"
|"305"
|"305"
|"triangle-up-open-dot"
|"6"
|"6"
|"triangle-down"
|"106"
|"106"
|"triangle-down-open"
|"206"
|"206"
|"triangle-down-dot"
|"306"
|"306"
|"triangle-down-open-dot"
|"7"
|"7"
|"triangle-left"
|"107"
|"107"
|"triangle-left-open"
|"207"
|"207"
|"triangle-left-dot"
|"307"
|"307"
|"triangle-left-open-dot"
|"8"
|"8"
|"triangle-right"
|"108"
|"108"
|"triangle-right-open"
|"208"
|"208"
|"triangle-right-dot"
|"308"
|"308"
|"triangle-right-open-dot"
|"9"
|"9"
|"triangle-ne"
|"109"
|"109"
|"triangle-ne-open"
|"209"
|"209"
|"triangle-ne-dot"
|"309"
|"309"
|"triangle-ne-open-dot"
|"10"
|"10"
|"triangle-se"
|"110"
|"110"
|"triangle-se-open"
|"210"
|"210"
|"triangle-se-dot"
|"310"
|"310"
|"triangle-se-open-dot"
|"11"
|"11"
|"triangle-sw"
|"111"
|"111"
|"triangle-sw-open"
|"211"
|"211"
|"triangle-sw-dot"
|"311"
|"311"
|"triangle-sw-open-dot"
|"12"
|"12"
|"triangle-nw"
|"112"
|"112"
|"triangle-nw-open"
|"212"
|"212"
|"triangle-nw-dot"
|"312"
|"312"
|"triangle-nw-open-dot"
|"13"
|"13"
|"pentagon"
|"113"
|"113"
|"pentagon-open"
|"213"
|"213"
|"pentagon-dot"
|"313"
|"313"
|"pentagon-open-dot"
|"14"
|"14"
|"hexagon"
|"114"
|"114"
|"hexagon-open"
|"214"
|"214"
|"hexagon-dot"
|"314"
|"314"
|"hexagon-open-dot"
|"15"
|"15"
|"hexagon2"
|"115"
|"115"
|"hexagon2-open"
|"215"
|"215"
|"hexagon2-dot"
|"315"
|"315"
|"hexagon2-open-dot"
|"16"
|"16"
|"octagon"
|"116"
|"116"
|"octagon-open"
|"216"
|"216"
|"octagon-dot"
|"316"
|"316"
|"octagon-open-dot"
|"17"
|"17"
|"star"
|"117"
|"117"
|"star-open"
|"217"
|"217"
|"star-dot"
|"317"
|"317"
|"star-open-dot"
|"18"
|"18"
|"hexagram"
|"118"
|"118"
|"hexagram-open"
|"218"
|"218"
|"hexagram-dot"
|"318"
|"318"
|"hexagram-open-dot"
|"19"
|"19"
|"star-triangle-up"
|"119"
|"119"
|"star-triangle-up-open"
|"219"
|"219"
|"star-triangle-up-dot"
|"319"
|"319"
|"star-triangle-up-open-dot"
|"20"
|"20"
|"star-triangle-down"
|"120"
|"120"
|"star-triangle-down-open"
|"220"
|"220"
|"star-triangle-down-dot"
|"320"
|"320"
|"star-triangle-down-open-dot"
|"21"
|"21"
|"star-square"
|"121"
|"121"
|"star-square-open"
|"221"
|"221"
|"star-square-dot"
|"321"
|"321"
|"star-square-open-dot"
|"22"
|"22"
|"star-diamond"
|"122"
|"122"
|"star-diamond-open"
|"222"
|"222"
|"star-diamond-dot"
|"322"
|"322"
|"star-diamond-open-dot"
|"23"
|"23"
|"diamond-tall"
|"123"
|"123"
|"diamond-tall-open"
|"223"
|"223"
|"diamond-tall-dot"
|"323"
|"323"
|"diamond-tall-open-dot"
|"24"
|"24"
|"diamond-wide"
|"124"
|"124"
|"diamond-wide-open"
|"224"
|"224"
|"diamond-wide-dot"
|"324"
|"324"
|"diamond-wide-open-dot"
|"25"
|"25"
|"hourglass"
|"125"
|"125"
|"hourglass-open"
|"26"
|"26"
|"bowtie"
|"126"
|"126"
|"bowtie-open"
|"27"
|"27"
|"circle-cross"
|"127"
|"127"
|"circle-cross-open"
|"28"
|"28"
|"circle-x"
|"128"
|"128"
|"circle-x-open"
|"29"
|"29"
|"square-cross"
|"129"
|"129"
|"square-cross-open"
|"30"
|"30"
|"square-x"
|"130"
|"130"
|"square-x-open"
|"31"
|"31"
|"diamond-cross"
|"131"
|"131"
|"diamond-cross-open"
|"32"
|"32"
|"diamond-x"
|"132"
|"132"
|"diamond-x-open"
|"33"
|"33"
|"cross-thin"
|"133"
|"133"
|"cross-thin-open"
|"34"
|"34"
|"x-thin"
|"134"
|"134"
|"x-thin-open"
|"35"
|"35"
|"asterisk"
|"135"
|"135"
|"asterisk-open"
|"36"
|"36"
|"hash"
|"136"
|"136"
|"hash-open"
|"236"
|"236"
|"hash-dot"
|"336"
|"336"
|"hash-open-dot"
|"37"
|"37"
|"y-up"
|"137"
|"137"
|"y-up-open"
|"38"
|"38"
|"y-down"
|"138"
|"138"
|"y-down-open"
|"39"
|"39"
|"y-left"
|"139"
|"139"
|"y-left-open"
|"40"
|"40"
|"y-right"
|"140"
|"140"
|"y-right-open"
|"41"
|"41"
|"line-ew"
|"141"
|"141"
|"line-ew-open"
|"42"
|"42"
|"line-ns"
|"142"
|"142"
|"line-ns-open"
|"43"
|"43"
|"line-ne"
|"143"
|"143"
|"line-ne-open"
|"44"
|"44"
|"line-nw"
|"144"
|"144"
|"line-nw-open"
|"45"
|"45"
|"arrow-up"
|"145"
|"145"
|"arrow-up-open"
|"46"
|"46"
|"arrow-down"
|"146"
|"146"
|"arrow-down-open"
|"47"
|"47"
|"arrow-left"
|"147"
|"147"
|"arrow-left-open"
|"48"
|"48"
|"arrow-right"
|"148"
|"148"
|"arrow-right-open"
|"49"
|"49"
|"arrow-bar-up"
|"149"
|"149"
|"arrow-bar-up-open"
|"50"
|"50"
|"arrow-bar-down"
|"150"
|"150"
|"arrow-bar-down-open"
|"51"
|"51"
|"arrow-bar-left"
|"151"
|"151"
|"arrow-bar-left-open"
|"52"
|"52"
|"arrow-bar-right"
|"152"
|"152"
|"arrow-bar-right-open"
)
Default:"circle"
Sets the marker symbol type. Adding 100 is equivalent to appending "-open" to a symbol name. Adding 200 is equivalent to appending "-dot" to a symbol name. Adding 300 is equivalent to appending "-open-dot" or "dot-open" to a symbol name.
- opacity
Code:fig.update_traces(marker_opacity=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 1
Default:1
Sets the marker opacity.
- size
Code:fig.update_traces(marker_size=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0
Default:6
Sets the marker size (in px).
- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='box'))
Type: colorSets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set.
- line
Code:fig.update_traces(marker_line=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(marker_line_color=<VALUE>, selector=dict(type='box'))
Type: color
Default:"#444"
Sets themarker.linecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.line.cmin` and `marker.line.cmax` if set.
- width
Code:fig.update_traces(marker_line_width=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) of the lines bounding the marker points.
- outliercolor
Code:fig.update_traces(marker_line_outliercolor=<VALUE>, selector=dict(type='box'))
Type: colorSets the border line color of the outlier sample points. Defaults to marker.color
- outlierwidth
Code:fig.update_traces(marker_line_outlierwidth=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0
Default:1
Sets the border line width (in px) of the outlier sample points.
- color
- outliercolor
- line
Code:fig.update_traces(line=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(line_color=<VALUE>, selector=dict(type='box'))
Type: colorSets the color of line bounding the box(es).
- width
Code:fig.update_traces(line_width=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0
Default:2
Sets the width (in px) of line bounding the box(es).
- color
- boxmean
Code:fig.update_traces(boxmean=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of (True
|"sd"
|False
)If "True", the mean of the box(es)' underlying distribution is drawn as a dashed line inside the box(es). If "sd" the standard deviation is also drawn. Defaults to "True" when `mean` is set. Defaults to "sd" when `sd` is set Otherwise defaults to "False".
- boxpoints
Code:fig.update_traces(boxpoints=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("all"
|"outliers"
|"suspectedoutliers"
|False
)If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "False", only the box(es) are shown with no sample points Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set. Defaults to "all" under the q1/median/q3 signature. Otherwise defaults to "outliers".
- notched
Code:fig.update_traces(notched=<VALUE>, selector=dict(type='box'))
Type: booleanDetermines whether or not notches are drawn. Notches displays a confidence interval around the median. We compute the confidence interval as median +/- 1.57 " IQR / sqrt(N), where IQR is the interquartile range and N is the sample size. If two boxes' notches do not overlap there is 95% confidence their medians differ. See https://sites.google.com/site/davidsstatistics/home/notched-box-plots for more info. Defaults to "False" unless `notchwidth` or `notchspan` is set.
- notchwidth
Code:fig.update_traces(notchwidth=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 0.5
Default:0.25
Sets the width of the notches relative to the box' width. For example, with 0, the notches are as wide as the box(es).
- whiskerwidth
Code:fig.update_traces(whiskerwidth=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 1
Default:0.5
Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es).
- q1
Code:fig.update_traces(q1=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the Quartile 1 values. There should be as many items as the number of boxes desired.
- median
Code:fig.update_traces(median=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the median values. There should be as many items as the number of boxes desired.
- q3
Code:fig.update_traces(q3=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the Quartile 3 values. There should be as many items as the number of boxes desired.
- lowerfence
Code:fig.update_traces(lowerfence=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the lower fence values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `lowerfence` is not provided but a sample (in `y` or `x`) is set, we compute the lower as the last sample point below 1.5 times the IQR.
- upperfence
Code:fig.update_traces(upperfence=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the upper fence values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `upperfence` is not provided but a sample (in `y` or `x`) is set, we compute the lower as the last sample point above 1.5 times the IQR.
- notchspan
Code:fig.update_traces(notchspan=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the notch span from the boxes' `median` values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `notchspan` is not provided but a sample (in `y` or `x`) is set, we compute it as 1.57 " IQR / sqrt(N), where N is the sample size.
- mean
Code:fig.update_traces(mean=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the mean values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `mean` is not provided but a sample (in `y` or `x`) is set, we compute the mean for each box using the sample values.
- sd
Code:fig.update_traces(sd=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the standard deviation values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `sd` is not provided but a sample (in `y` or `x`) is set, we compute the standard deviation for each box using the sample values.
- quartilemethod
Code:fig.update_traces(quartilemethod=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("linear"
|"exclusive"
|"inclusive"
)
Default:"linear"
Sets the method used to compute the sample's Q1 and Q3 quartiles. The "linear" method uses the 25th percentile for Q1 and 75th percentile for Q3 as computed using method #10 (listed on http://www.amstat.org/publications/jse/v14n3/langford.html). The "exclusive" method uses the median to divide the ordered dataset into two halves if the sample is odd, it does not include the median in either half - Q1 is then the median of the lower half and Q3 the median of the upper half. The "inclusive" method also uses the median to divide the ordered dataset into two halves but if the sample is odd, it includes the median in both halves - Q1 is then the median of the lower half and Q3 the median of the upper half.
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- selected
Code:fig.update_traces(selected=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(selected_marker=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(selected_marker_opacity=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 1Sets the marker opacity of selected points.
- color
Code:fig.update_traces(selected_marker_color=<VALUE>, selector=dict(type='box'))
Type: colorSets the marker color of selected points.
- size
Code:fig.update_traces(selected_marker_size=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0Sets the marker size of selected points.
- opacity
- marker
- unselected
Code:fig.update_traces(unselected=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(unselected_marker=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(unselected_marker_opacity=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 1Sets the marker opacity of unselected points, applied only when a selection exists.
- color
Code:fig.update_traces(unselected_marker_color=<VALUE>, selector=dict(type='box'))
Type: colorSets the marker color of unselected points, applied only when a selection exists.
- size
Code:fig.update_traces(unselected_marker_size=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0Sets the marker size of unselected points, applied only when a selection exists.
- opacity
- marker
- fillcolor
Code:fig.update_traces(fillcolor=<VALUE>, selector=dict(type='box'))
Type: colorSets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='box'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='box'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='box'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='box'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='box'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='box'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='box'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- hoveron
Code:fig.update_traces(hoveron=<VALUE>, selector=dict(type='box'))
Type: flaglist string. Any combination of"boxes"
,"points"
joined with a"+"
Examples:"boxes"
,"points"
,"boxes+points"
Default:"boxes+points"
Do the hover effects highlight individual boxes or sample points or both?
- pointpos
Code:fig.update_traces(pointpos=<VALUE>, selector=dict(type='box'))
Type: number between or equal to -2 and 2Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes
- jitter
Code:fig.update_traces(jitter=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 1Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- ycalendar
Code:fig.update_traces(ycalendar=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
violin traces
plotly.graph_objects.Violin
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. In vertical (horizontal) violin plots, statistics are computed using `y` (`x`) values. By supplying an `x` (`y`) array, one violin per distinct x (y) value is drawn If no `x` (`y`) list is provided, a single violin is drawn. That violin position is then positioned with with `name` or with `x0` (`y0`) if provided.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='violin'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover. For violin traces, the name will also be used for the position coordinate, if `x` and `x0` (`y` and `y0` if horizontal) are missing and the position axis is categorical. Note that the trace name is also used as a default value for attribute `scalegroup` (please see its description for details).
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='violin'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='violin'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='violin'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='violin'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='violin'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='violin'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x sample data or coordinates. See overview for more info.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='violin'))
Type: number or categorical coordinate stringSets the x coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='violin'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y sample data or coordinates. See overview for more info.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='violin'))
Type: number or categorical coordinate stringSets the y coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info.
- width
Code:fig.update_traces(width=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0
Default:0
Sets the width of the violin in data coordinates. If "0" (default value) the width is automatically selected based on the positions of other violin traces in the same subplot.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='violin'))
Type: string or array of strings
Default:""
Sets the text elements associated with each sample value. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='violin'))
Type: string or array of strings
Default:""
Same as `text`.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='violin'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='violin'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='violin'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='violin'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='violin'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='violin'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- orientation
Code:fig.update_traces(orientation=<VALUE>, selector=dict(type='violin'))
Type: enumerated , one of ("v"
|"h"
)Sets the orientation of the violin(s). If "v" ("h"), the distribution is visualized along the vertical (horizontal).
- alignmentgroup
Code:fig.update_traces(alignmentgroup=<VALUE>, selector=dict(type='violin'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
- offsetgroup
Code:fig.update_traces(offsetgroup=<VALUE>, selector=dict(type='violin'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- outliercolor
Code:fig.update_traces(marker_outliercolor=<VALUE>, selector=dict(type='violin'))
Type: color
Default:"rgba(0, 0, 0, 0)"
Sets the color of the outlier sample points.
- symbol
Code:fig.update_traces(marker_symbol=<VALUE>, selector=dict(type='violin'))
Type: enumerated , one of ("0"
|"0"
|"circle"
|"100"
|"100"
|"circle-open"
|"200"
|"200"
|"circle-dot"
|"300"
|"300"
|"circle-open-dot"
|"1"
|"1"
|"square"
|"101"
|"101"
|"square-open"
|"201"
|"201"
|"square-dot"
|"301"
|"301"
|"square-open-dot"
|"2"
|"2"
|"diamond"
|"102"
|"102"
|"diamond-open"
|"202"
|"202"
|"diamond-dot"
|"302"
|"302"
|"diamond-open-dot"
|"3"
|"3"
|"cross"
|"103"
|"103"
|"cross-open"
|"203"
|"203"
|"cross-dot"
|"303"
|"303"
|"cross-open-dot"
|"4"
|"4"
|"x"
|"104"
|"104"
|"x-open"
|"204"
|"204"
|"x-dot"
|"304"
|"304"
|"x-open-dot"
|"5"
|"5"
|"triangle-up"
|"105"
|"105"
|"triangle-up-open"
|"205"
|"205"
|"triangle-up-dot"
|"305"
|"305"
|"triangle-up-open-dot"
|"6"
|"6"
|"triangle-down"
|"106"
|"106"
|"triangle-down-open"
|"206"
|"206"
|"triangle-down-dot"
|"306"
|"306"
|"triangle-down-open-dot"
|"7"
|"7"
|"triangle-left"
|"107"
|"107"
|"triangle-left-open"
|"207"
|"207"
|"triangle-left-dot"
|"307"
|"307"
|"triangle-left-open-dot"
|"8"
|"8"
|"triangle-right"
|"108"
|"108"
|"triangle-right-open"
|"208"
|"208"
|"triangle-right-dot"
|"308"
|"308"
|"triangle-right-open-dot"
|"9"
|"9"
|"triangle-ne"
|"109"
|"109"
|"triangle-ne-open"
|"209"
|"209"
|"triangle-ne-dot"
|"309"
|"309"
|"triangle-ne-open-dot"
|"10"
|"10"
|"triangle-se"
|"110"
|"110"
|"triangle-se-open"
|"210"
|"210"
|"triangle-se-dot"
|"310"
|"310"
|"triangle-se-open-dot"
|"11"
|"11"
|"triangle-sw"
|"111"
|"111"
|"triangle-sw-open"
|"211"
|"211"
|"triangle-sw-dot"
|"311"
|"311"
|"triangle-sw-open-dot"
|"12"
|"12"
|"triangle-nw"
|"112"
|"112"
|"triangle-nw-open"
|"212"
|"212"
|"triangle-nw-dot"
|"312"
|"312"
|"triangle-nw-open-dot"
|"13"
|"13"
|"pentagon"
|"113"
|"113"
|"pentagon-open"
|"213"
|"213"
|"pentagon-dot"
|"313"
|"313"
|"pentagon-open-dot"
|"14"
|"14"
|"hexagon"
|"114"
|"114"
|"hexagon-open"
|"214"
|"214"
|"hexagon-dot"
|"314"
|"314"
|"hexagon-open-dot"
|"15"
|"15"
|"hexagon2"
|"115"
|"115"
|"hexagon2-open"
|"215"
|"215"
|"hexagon2-dot"
|"315"
|"315"
|"hexagon2-open-dot"
|"16"
|"16"
|"octagon"
|"116"
|"116"
|"octagon-open"
|"216"
|"216"
|"octagon-dot"
|"316"
|"316"
|"octagon-open-dot"
|"17"
|"17"
|"star"
|"117"
|"117"
|"star-open"
|"217"
|"217"
|"star-dot"
|"317"
|"317"
|"star-open-dot"
|"18"
|"18"
|"hexagram"
|"118"
|"118"
|"hexagram-open"
|"218"
|"218"
|"hexagram-dot"
|"318"
|"318"
|"hexagram-open-dot"
|"19"
|"19"
|"star-triangle-up"
|"119"
|"119"
|"star-triangle-up-open"
|"219"
|"219"
|"star-triangle-up-dot"
|"319"
|"319"
|"star-triangle-up-open-dot"
|"20"
|"20"
|"star-triangle-down"
|"120"
|"120"
|"star-triangle-down-open"
|"220"
|"220"
|"star-triangle-down-dot"
|"320"
|"320"
|"star-triangle-down-open-dot"
|"21"
|"21"
|"star-square"
|"121"
|"121"
|"star-square-open"
|"221"
|"221"
|"star-square-dot"
|"321"
|"321"
|"star-square-open-dot"
|"22"
|"22"
|"star-diamond"
|"122"
|"122"
|"star-diamond-open"
|"222"
|"222"
|"star-diamond-dot"
|"322"
|"322"
|"star-diamond-open-dot"
|"23"
|"23"
|"diamond-tall"
|"123"
|"123"
|"diamond-tall-open"
|"223"
|"223"
|"diamond-tall-dot"
|"323"
|"323"
|"diamond-tall-open-dot"
|"24"
|"24"
|"diamond-wide"
|"124"
|"124"
|"diamond-wide-open"
|"224"
|"224"
|"diamond-wide-dot"
|"324"
|"324"
|"diamond-wide-open-dot"
|"25"
|"25"
|"hourglass"
|"125"
|"125"
|"hourglass-open"
|"26"
|"26"
|"bowtie"
|"126"
|"126"
|"bowtie-open"
|"27"
|"27"
|"circle-cross"
|"127"
|"127"
|"circle-cross-open"
|"28"
|"28"
|"circle-x"
|"128"
|"128"
|"circle-x-open"
|"29"
|"29"
|"square-cross"
|"129"
|"129"
|"square-cross-open"
|"30"
|"30"
|"square-x"
|"130"
|"130"
|"square-x-open"
|"31"
|"31"
|"diamond-cross"
|"131"
|"131"
|"diamond-cross-open"
|"32"
|"32"
|"diamond-x"
|"132"
|"132"
|"diamond-x-open"
|"33"
|"33"
|"cross-thin"
|"133"
|"133"
|"cross-thin-open"
|"34"
|"34"
|"x-thin"
|"134"
|"134"
|"x-thin-open"
|"35"
|"35"
|"asterisk"
|"135"
|"135"
|"asterisk-open"
|"36"
|"36"
|"hash"
|"136"
|"136"
|"hash-open"
|"236"
|"236"
|"hash-dot"
|"336"
|"336"
|"hash-open-dot"
|"37"
|"37"
|"y-up"
|"137"
|"137"
|"y-up-open"
|"38"
|"38"
|"y-down"
|"138"
|"138"
|"y-down-open"
|"39"
|"39"
|"y-left"
|"139"
|"139"
|"y-left-open"
|"40"
|"40"
|"y-right"
|"140"
|"140"
|"y-right-open"
|"41"
|"41"
|"line-ew"
|"141"
|"141"
|"line-ew-open"
|"42"
|"42"
|"line-ns"
|"142"
|"142"
|"line-ns-open"
|"43"
|"43"
|"line-ne"
|"143"
|"143"
|"line-ne-open"
|"44"
|"44"
|"line-nw"
|"144"
|"144"
|"line-nw-open"
|"45"
|"45"
|"arrow-up"
|"145"
|"145"
|"arrow-up-open"
|"46"
|"46"
|"arrow-down"
|"146"
|"146"
|"arrow-down-open"
|"47"
|"47"
|"arrow-left"
|"147"
|"147"
|"arrow-left-open"
|"48"
|"48"
|"arrow-right"
|"148"
|"148"
|"arrow-right-open"
|"49"
|"49"
|"arrow-bar-up"
|"149"
|"149"
|"arrow-bar-up-open"
|"50"
|"50"
|"arrow-bar-down"
|"150"
|"150"
|"arrow-bar-down-open"
|"51"
|"51"
|"arrow-bar-left"
|"151"
|"151"
|"arrow-bar-left-open"
|"52"
|"52"
|"arrow-bar-right"
|"152"
|"152"
|"arrow-bar-right-open"
)
Default:"circle"
Sets the marker symbol type. Adding 100 is equivalent to appending "-open" to a symbol name. Adding 200 is equivalent to appending "-dot" to a symbol name. Adding 300 is equivalent to appending "-open-dot" or "dot-open" to a symbol name.
- opacity
Code:fig.update_traces(marker_opacity=<VALUE>, selector=dict(type='violin'))
Type: number between or equal to 0 and 1
Default:1
Sets the marker opacity.
- size
Code:fig.update_traces(marker_size=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0
Default:6
Sets the marker size (in px).
- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='violin'))
Type: colorSets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set.
- line
Code:fig.update_traces(marker_line=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(marker_line_color=<VALUE>, selector=dict(type='violin'))
Type: color
Default:"#444"
Sets themarker.linecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.line.cmin` and `marker.line.cmax` if set.
- width
Code:fig.update_traces(marker_line_width=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) of the lines bounding the marker points.
- outliercolor
Code:fig.update_traces(marker_line_outliercolor=<VALUE>, selector=dict(type='violin'))
Type: colorSets the border line color of the outlier sample points. Defaults to marker.color
- outlierwidth
Code:fig.update_traces(marker_line_outlierwidth=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0
Default:1
Sets the border line width (in px) of the outlier sample points.
- color
- outliercolor
- line
Code:fig.update_traces(line=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(line_color=<VALUE>, selector=dict(type='violin'))
Type: colorSets the color of line bounding the violin(s).
- width
Code:fig.update_traces(line_width=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0
Default:2
Sets the width (in px) of line bounding the violin(s).
- color
- box
Code:fig.update_traces(box=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(box_visible=<VALUE>, selector=dict(type='violin'))
Type: booleanDetermines if an miniature box plot is drawn inside the violins.
- width
Code:fig.update_traces(box_width=<VALUE>, selector=dict(type='violin'))
Type: number between or equal to 0 and 1
Default:0.25
Sets the width of the inner box plots relative to the violins' width. For example, with 1, the inner box plots are as wide as the violins.
- fillcolor
Code:fig.update_traces(box_fillcolor=<VALUE>, selector=dict(type='violin'))
Type: colorSets the inner box plot fill color.
- line
Code:fig.update_traces(box_line=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(box_line_color=<VALUE>, selector=dict(type='violin'))
Type: colorSets the inner box plot bounding line color.
- width
Code:fig.update_traces(box_line_width=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0Sets the inner box plot bounding line width.
- color
- visible
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='violin'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- selected
Code:fig.update_traces(selected=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(selected_marker=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(selected_marker_opacity=<VALUE>, selector=dict(type='violin'))
Type: number between or equal to 0 and 1Sets the marker opacity of selected points.
- color
Code:fig.update_traces(selected_marker_color=<VALUE>, selector=dict(type='violin'))
Type: colorSets the marker color of selected points.
- size
Code:fig.update_traces(selected_marker_size=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0Sets the marker size of selected points.
- opacity
- marker
- unselected
Code:fig.update_traces(unselected=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(unselected_marker=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(unselected_marker_opacity=<VALUE>, selector=dict(type='violin'))
Type: number between or equal to 0 and 1Sets the marker opacity of unselected points, applied only when a selection exists.
- color
Code:fig.update_traces(unselected_marker_color=<VALUE>, selector=dict(type='violin'))
Type: colorSets the marker color of unselected points, applied only when a selection exists.
- size
Code:fig.update_traces(unselected_marker_size=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0Sets the marker size of unselected points, applied only when a selection exists.
- opacity
- marker
- bandwidth
Code:fig.update_traces(bandwidth=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0Sets the bandwidth used to compute the kernel density estimate. By default, the bandwidth is determined by Silverman's rule of thumb.
- fillcolor
Code:fig.update_traces(fillcolor=<VALUE>, selector=dict(type='violin'))
Type: colorSets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='violin'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='violin'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='violin'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='violin'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='violin'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='violin'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='violin'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- hoveron
Code:fig.update_traces(hoveron=<VALUE>, selector=dict(type='violin'))
Type: flaglist string. Any combination of"violins"
,"points"
,"kde"
joined with a"+"
OR"all"
.
Examples:"violins"
,"points"
,"violins+points"
,"violins+points+kde"
,"all"
Default:"violins+points+kde"
Do the hover effects highlight individual violins or sample points or the kernel density estimate or any combination of them?
- pointpos
Code:fig.update_traces(pointpos=<VALUE>, selector=dict(type='violin'))
Type: number between or equal to -2 and 2Sets the position of the sample points in relation to the violins. If "0", the sample points are places over the center of the violins. Positive (negative) values correspond to positions to the right (left) for vertical violins and above (below) for horizontal violins.
- jitter
Code:fig.update_traces(jitter=<VALUE>, selector=dict(type='violin'))
Type: number between or equal to 0 and 1Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the violins.
- meanline
Code:fig.update_traces(meanline=dict(...), selector=dict(type='violin'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(meanline_visible=<VALUE>, selector=dict(type='violin'))
Type: booleanDetermines if a line corresponding to the sample's mean is shown inside the violins. If `box.visible` is turned on, the mean line is drawn inside the inner box. Otherwise, the mean line is drawn from one side of the violin to other.
- color
Code:fig.update_traces(meanline_color=<VALUE>, selector=dict(type='violin'))
Type: colorSets the mean line color.
- width
Code:fig.update_traces(meanline_width=<VALUE>, selector=dict(type='violin'))
Type: number greater than or equal to 0Sets the mean line width.
- visible
- points
Code:fig.update_traces(points=<VALUE>, selector=dict(type='violin'))
Type: enumerated , one of ("all"
|"outliers"
|"suspectedoutliers"
|False
)If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "False", only the violins are shown with no sample points. Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set, otherwise defaults to "outliers".
- scalegroup
Code:fig.update_traces(scalegroup=<VALUE>, selector=dict(type='violin'))
Type: string
Default:""
If there are multiple violins that should be sized according to to some metric (see `scalemode`), link them by providing a non-empty group id here shared by every trace in the same group. If a violin's `width` is undefined, `scalegroup` will default to the trace's name. In this case, violins with the same names will be linked together
- scalemode
Code:fig.update_traces(scalemode=<VALUE>, selector=dict(type='violin'))
Type: enumerated , one of ("width"
|"count"
)
Default:"width"
Sets the metric by which the width of each violin is determined."width" means each violin has the same (max) width"count" means the violins are scaled by the number of sample points makingup each violin.
- side
Code:fig.update_traces(side=<VALUE>, selector=dict(type='violin'))
Type: enumerated , one of ("both"
|"positive"
|"negative"
)
Default:"both"
Determines on which side of the position value the density function making up one half of a violin is plotted. Useful when comparing two violin traces under "overlay" mode, where one trace has `side` set to "positive" and the other to "negative".
- span
Code:fig.update_traces(span=<VALUE>, selector=dict(type='violin'))
Type: listSets the span in data space for which the density function will be computed. Has an effect only when `spanmode` is set to "manual".
- spanmode
Code:fig.update_traces(spanmode=<VALUE>, selector=dict(type='violin'))
Type: enumerated , one of ("soft"
|"hard"
|"manual"
)
Default:"soft"
Sets the method by which the span in data space where the density function will be computed. "soft" means the span goes from the sample's minimum value minus two bandwidths to the sample's maximum value plus two bandwidths. "hard" means the span goes from the sample's minimum to its maximum value. For custom span settings, use mode "manual" and fill in the `span` attribute.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='violin'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
histogram traces
plotly.graph_objects.Histogram
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The sample data from which statistics are computed is set in `x` for vertically spanning histograms and in `y` for horizontally spanning histograms. Binning options are set `xbins` and `ybins` respectively if no aggregation data is provided.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='histogram'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='histogram'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='histogram'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='histogram'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the sample data to be binned on the x axis.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the sample data to be binned on the y axis.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='histogram'))
Type: string or array of strings
Default:""
Sets hover text elements associated with each bar. If a single string, the same string appears over all bars. If an array of string, the items are mapped in order to the this trace's coordinates.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='histogram'))
Type: string or array of strings
Default:""
Same as `text`.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='histogram'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='histogram'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variable `binNumber` Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='histogram'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='histogram'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- orientation
Code:fig.update_traces(orientation=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("v"
|"h"
)Sets the orientation of the bars. With "v" ("h"), the value of the each bar spans along the vertical (horizontal).
- histfunc
Code:fig.update_traces(histfunc=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("count"
|"sum"
|"avg"
|"min"
|"max"
)
Default:"count"
Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.
- histnorm
Code:fig.update_traces(histnorm=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of (""
|"percent"
|"probability"
|"density"
|"probability density"
)
Default:""
Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).
- alignmentgroup
Code:fig.update_traces(alignmentgroup=<VALUE>, selector=dict(type='histogram'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
- offsetgroup
Code:fig.update_traces(offsetgroup=<VALUE>, selector=dict(type='histogram'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
- nbinsx
Code:fig.update_traces(nbinsx=<VALUE>, selector=dict(type='histogram'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.
- nbinsy
Code:fig.update_traces(nbinsy=<VALUE>, selector=dict(type='histogram'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.
- autobinx
Code:fig.update_traces(autobinx=<VALUE>, selector=dict(type='histogram'))
Type: booleanObsolete: since v1.42 each bin attribute is auto-determined separately and `autobinx` is not needed. However, we accept `autobinx: True` or `False` and will update `xbins` accordingly before deleting `autobinx` from the trace.
- autobiny
Code:fig.update_traces(autobiny=<VALUE>, selector=dict(type='histogram'))
Type: booleanObsolete: since v1.42 each bin attribute is auto-determined separately and `autobiny` is not needed. However, we accept `autobiny: True` or `False` and will update `ybins` accordingly before deleting `autobiny` from the trace.
- bingroup
Code:fig.update_traces(bingroup=<VALUE>, selector=dict(type='histogram'))
Type: string
Default:""
Set a group of histogram traces which will have compatible bin settings. Note that traces on the same subplot and with the same "orientation" under `barmode` "stack", "relative" and "group" are forced into the same bingroup, Using `bingroup`, traces under `barmode` "overlay" and on different axes (of the same axis type) can have compatible bin settings. Note that histogram and histogram2d" trace can share the same `bingroup`
- xbins
Code:fig.update_traces(xbins=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- start
Code:fig.update_traces(xbins_start=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringSets the starting value for the x axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5. If multiple non-overlaying histograms share a subplot, the first explicit `start` is used exactly and all others are shifted down (if necessary) to differ from that one by an integer number of bins.
- end
Code:fig.update_traces(xbins_end=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringSets the end value for the x axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers.
- size
Code:fig.update_traces(xbins_size=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringSets the size of each x axis bin. Default behavior: If `nbinsx` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsx` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or "M<n>" for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1). If multiple non-overlaying histograms share a subplot, the first explicit `size` is used and all others discarded. If no `size` is provided,the sample data from all traces is combined to determine `size` as described above.
- start
- ybins
Code:fig.update_traces(ybins=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- start
Code:fig.update_traces(ybins_start=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringSets the starting value for the y axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5. If multiple non-overlaying histograms share a subplot, the first explicit `start` is used exactly and all others are shifted down (if necessary) to differ from that one by an integer number of bins.
- end
Code:fig.update_traces(ybins_end=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringSets the end value for the y axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers.
- size
Code:fig.update_traces(ybins_size=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringSets the size of each y axis bin. Default behavior: If `nbinsy` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsy` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or "M<n>" for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1). If multiple non-overlaying histograms share a subplot, the first explicit `size` is used and all others discarded. If no `size` is provided,the sample data from all traces is combined to determine `size` as described above.
- start
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- line
Code:fig.update_traces(marker_line=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- width
Code:fig.update_traces(marker_line_width=<VALUE>, selector=dict(type='histogram'))
Type: number or array of numbers greater than or equal to 0
Default:0
Sets the width (in px) of the lines bounding the marker points.
- color
Code:fig.update_traces(marker_line_color=<VALUE>, selector=dict(type='histogram'))
Type: color or array of colorsSets themarker.linecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.line.cmin` and `marker.line.cmax` if set.
- cauto
Code:fig.update_traces(marker_line_cauto=<VALUE>, selector=dict(type='histogram'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.line.color`) or the bounds set in `marker.line.cmin` and `marker.line.cmax` Has an effect only if in `marker.line.color`is set to a numerical array. Defaults to `False` when `marker.line.cmin` and `marker.line.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_line_cmin=<VALUE>, selector=dict(type='histogram'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_line_cmax=<VALUE>, selector=dict(type='histogram'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_line_cmid=<VALUE>, selector=dict(type='histogram'))
Type: numberSets the mid-point of the color domain by scaling `marker.line.cmin` and/or `marker.line.cmax` to be equidistant to this point. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color`. Has no effect when `marker.line.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_line_colorscale=<VALUE>, selector=dict(type='histogram'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.line.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.line.cmin` and `marker.line.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_line_autocolorscale=<VALUE>, selector=dict(type='histogram'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.line.colorscale`. Has an effect only if in `marker.line.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_line_reversescale=<VALUE>, selector=dict(type='histogram'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.line.color`is set to a numerical array. If True, `marker.line.cmin` will correspond to the last color in the array and `marker.line.cmax` will correspond to the first color.
- coloraxis
Code:fig.update_traces(marker_line_coloraxis=<VALUE>, selector=dict(type='histogram'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- width
- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='histogram'))
Type: color or array of colorsSets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set.
- cauto
Code:fig.update_traces(marker_cauto=<VALUE>, selector=dict(type='histogram'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color`is set to a numerical array. Defaults to `False` when `marker.cmin` and `marker.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_cmin=<VALUE>, selector=dict(type='histogram'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_cmax=<VALUE>, selector=dict(type='histogram'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_cmid=<VALUE>, selector=dict(type='histogram'))
Type: numberSets the mid-point of the color domain by scaling `marker.cmin` and/or `marker.cmax` to be equidistant to this point. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color`. Has no effect when `marker.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_colorscale=<VALUE>, selector=dict(type='histogram'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_autocolorscale=<VALUE>, selector=dict(type='histogram'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_reversescale=<VALUE>, selector=dict(type='histogram'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.color`is set to a numerical array. If True, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color.
- showscale
Code:fig.update_traces(marker_showscale=<VALUE>, selector=dict(type='histogram'))
Type: booleanDetermines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color`is set to a numerical array.
- colorbar
Code:fig.update_traces(marker_colorbar=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(marker_colorbar_thicknessmode=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(marker_colorbar_thickness=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(marker_colorbar_lenmode=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(marker_colorbar_len=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(marker_colorbar_x=<VALUE>, selector=dict(type='histogram'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(marker_colorbar_xanchor=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(marker_colorbar_xpad=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(marker_colorbar_y=<VALUE>, selector=dict(type='histogram'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(marker_colorbar_yanchor=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(marker_colorbar_ypad=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(marker_colorbar_outlinecolor=<VALUE>, selector=dict(type='histogram'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(marker_colorbar_outlinewidth=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(marker_colorbar_bordercolor=<VALUE>, selector=dict(type='histogram'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(marker_colorbar_borderwidth=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(marker_colorbar_bgcolor=<VALUE>, selector=dict(type='histogram'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(marker_colorbar_tickmode=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(marker_colorbar_nticks=<VALUE>, selector=dict(type='histogram'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(marker_colorbar_tick0=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(marker_colorbar_dtick=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(marker_colorbar_tickvals=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(marker_colorbar_ticktext=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(marker_colorbar_ticks=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(marker_colorbar_ticklabelposition=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(marker_colorbar_ticklen=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(marker_colorbar_tickwidth=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(marker_colorbar_tickcolor=<VALUE>, selector=dict(type='histogram'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(marker_colorbar_showticklabels=<VALUE>, selector=dict(type='histogram'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(marker_colorbar_tickfont=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(marker_colorbar_tickfont_family=<VALUE>, selector=dict(type='histogram'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_tickfont_size=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_tickfont_color=<VALUE>, selector=dict(type='histogram'))
Type: color
- family
- tickangle
Code:fig.update_traces(marker_colorbar_tickangle=<VALUE>, selector=dict(type='histogram'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(marker_colorbar_tickformat=<VALUE>, selector=dict(type='histogram'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(marker_colorbar_tickformatstops=list(...), selector=dict(type='histogram'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=histogram].marker.colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=histogram].marker.colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=histogram].marker.colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=histogram].marker.colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=histogram].marker.colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(marker_colorbar_tickprefix=<VALUE>, selector=dict(type='histogram'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(marker_colorbar_showtickprefix=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(marker_colorbar_ticksuffix=<VALUE>, selector=dict(type='histogram'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(marker_colorbar_showticksuffix=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(marker_colorbar_separatethousands=<VALUE>, selector=dict(type='histogram'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(marker_colorbar_exponentformat=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(marker_colorbar_minexponent=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(marker_colorbar_showexponent=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(marker_colorbar_title=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(marker_colorbar_title_text=<VALUE>, selector=dict(type='histogram'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(marker_colorbar_title_font=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(marker_colorbar_title_font_family=<VALUE>, selector=dict(type='histogram'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_title_font_size=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_title_font_color=<VALUE>, selector=dict(type='histogram'))
Type: color
- family
- side
Code:fig.update_traces(marker_colorbar_title_side=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- coloraxis
Code:fig.update_traces(marker_coloraxis=<VALUE>, selector=dict(type='histogram'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- opacity
Code:fig.update_traces(marker_opacity=<VALUE>, selector=dict(type='histogram'))
Type: number or array of numbers between or equal to 0 and 1
Default:1
Sets the opacity of the bars.
- line
- error_x
Code:fig.update_traces(error_x=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(error_x_visible=<VALUE>, selector=dict(type='histogram'))
Type: booleanDetermines whether or not this set of error bars is visible.
- type
Code:fig.update_traces(error_x_type=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("percent"
|"constant"
|"sqrt"
|"data"
)Determines the rule used to generate the error bars. If "constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`.
- symmetric
Code:fig.update_traces(error_x_symmetric=<VALUE>, selector=dict(type='histogram'))
Type: booleanDetermines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars.
- array
Code:fig.update_traces(error_x_array=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data.
- arrayminus
Code:fig.update_traces(error_x_arrayminus=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data.
- value
Code:fig.update_traces(error_x_value=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars.
- valueminus
Code:fig.update_traces(error_x_valueminus=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars
- traceref
Code:fig.update_traces(error_x_traceref=<VALUE>, selector=dict(type='histogram'))
Type: integer greater than or equal to 0
Default:0
- tracerefminus
Code:fig.update_traces(error_x_tracerefminus=<VALUE>, selector=dict(type='histogram'))
Type: integer greater than or equal to 0
Default:0
- copy_ystyle
Code:fig.update_traces(error_x_copy_ystyle=<VALUE>, selector=dict(type='histogram'))
Type: boolean - color
Code:fig.update_traces(error_x_color=<VALUE>, selector=dict(type='histogram'))
Type: colorSets the stoke color of the error bars.
- thickness
Code:fig.update_traces(error_x_thickness=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:2
Sets the thickness (in px) of the error bars.
- width
Code:fig.update_traces(error_x_width=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0Sets the width (in px) of the cross-bar at both ends of the error bars.
- visible
- error_y
Code:fig.update_traces(error_y=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- visible
Code:fig.update_traces(error_y_visible=<VALUE>, selector=dict(type='histogram'))
Type: booleanDetermines whether or not this set of error bars is visible.
- type
Code:fig.update_traces(error_y_type=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("percent"
|"constant"
|"sqrt"
|"data"
)Determines the rule used to generate the error bars. If "constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`.
- symmetric
Code:fig.update_traces(error_y_symmetric=<VALUE>, selector=dict(type='histogram'))
Type: booleanDetermines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars.
- array
Code:fig.update_traces(error_y_array=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data.
- arrayminus
Code:fig.update_traces(error_y_arrayminus=<VALUE>, selector=dict(type='histogram'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data.
- value
Code:fig.update_traces(error_y_value=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars.
- valueminus
Code:fig.update_traces(error_y_valueminus=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:10
Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars
- traceref
Code:fig.update_traces(error_y_traceref=<VALUE>, selector=dict(type='histogram'))
Type: integer greater than or equal to 0
Default:0
- tracerefminus
Code:fig.update_traces(error_y_tracerefminus=<VALUE>, selector=dict(type='histogram'))
Type: integer greater than or equal to 0
Default:0
- color
Code:fig.update_traces(error_y_color=<VALUE>, selector=dict(type='histogram'))
Type: colorSets the stoke color of the error bars.
- thickness
Code:fig.update_traces(error_y_thickness=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0
Default:2
Sets the thickness (in px) of the error bars.
- width
Code:fig.update_traces(error_y_width=<VALUE>, selector=dict(type='histogram'))
Type: number greater than or equal to 0Sets the width (in px) of the cross-bar at both ends of the error bars.
- visible
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- selected
Code:fig.update_traces(selected=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(selected_marker=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(selected_marker_opacity=<VALUE>, selector=dict(type='histogram'))
Type: number between or equal to 0 and 1Sets the marker opacity of selected points.
- color
Code:fig.update_traces(selected_marker_color=<VALUE>, selector=dict(type='histogram'))
Type: colorSets the marker color of selected points.
- opacity
- textfont
Code:fig.update_traces(selected_textfont=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(selected_textfont_color=<VALUE>, selector=dict(type='histogram'))
Type: colorSets the text font color of selected points.
- color
- marker
- unselected
Code:fig.update_traces(unselected=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(unselected_marker=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- opacity
Code:fig.update_traces(unselected_marker_opacity=<VALUE>, selector=dict(type='histogram'))
Type: number between or equal to 0 and 1Sets the marker opacity of unselected points, applied only when a selection exists.
- color
Code:fig.update_traces(unselected_marker_color=<VALUE>, selector=dict(type='histogram'))
Type: colorSets the marker color of unselected points, applied only when a selection exists.
- opacity
- textfont
Code:fig.update_traces(unselected_textfont=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(unselected_textfont_color=<VALUE>, selector=dict(type='histogram'))
Type: colorSets the text font color of unselected points, applied only when a selection exists.
- color
- marker
- cumulative
Code:fig.update_traces(cumulative=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- enabled
Code:fig.update_traces(cumulative_enabled=<VALUE>, selector=dict(type='histogram'))
Type: booleanIf True, display the cumulative distribution by summing the binned values. Use the `direction` and `centralbin` attributes to tune the accumulation method. Note: in this mode, the "density" `histnorm` settings behave the same as their equivalents without "density": "" and "density" both rise to the number of data points, and "probability" and "probability density" both rise to the number of sample points.
- direction
Code:fig.update_traces(cumulative_direction=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("increasing"
|"decreasing"
)
Default:"increasing"
Only applies if cumulative is enabled. If "increasing" (default) we sum all prior bins, so the result increases from left to right. If "decreasing" we sum later bins so the result decreases from left to right.
- currentbin
Code:fig.update_traces(cumulative_currentbin=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("include"
|"exclude"
|"half"
)
Default:"include"
Only applies if cumulative is enabled. Sets whether the current bin is included, excluded, or has half of its value included in the current cumulative value. "include" is the default for compatibility with various other tools, however it introduces a half-bin bias to the results. "exclude" makes the opposite half-bin bias, and "half" removes it.
- enabled
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='histogram'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='histogram'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='histogram'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='histogram'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='histogram'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='histogram'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='histogram'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='histogram'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- ycalendar
Code:fig.update_traces(ycalendar=<VALUE>, selector=dict(type='histogram'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='histogram'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
histogram2d traces
plotly.graph_objects.Histogram2D
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a heatmap.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='histogram2d'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='histogram2d'))
Type: booleanDetermines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='histogram2d'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='histogram2d'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='histogram2d'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='histogram2d'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the sample data to be binned on the x axis.
- xgap
Code:fig.update_traces(xgap=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:0
Sets the horizontal gap (in pixels) between bricks.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='histogram2d'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the sample data to be binned on the y axis.
- ygap
Code:fig.update_traces(ygap=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:0
Sets the vertical gap (in pixels) between bricks.
- z
Code:fig.update_traces(z=<VALUE>, selector=dict(type='histogram2d'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the aggregation data.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='histogram2d'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='histogram2d'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variable `z` Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='histogram2d'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='histogram2d'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='histogram2d'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- coloraxis
Code:fig.update_traces(coloraxis=<VALUE>, selector=dict(type='histogram2d'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- histfunc
Code:fig.update_traces(histfunc=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("count"
|"sum"
|"avg"
|"min"
|"max"
)
Default:"count"
Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.
- histnorm
Code:fig.update_traces(histnorm=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of (""
|"percent"
|"probability"
|"density"
|"probability density"
)
Default:""
Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).
- nbinsx
Code:fig.update_traces(nbinsx=<VALUE>, selector=dict(type='histogram2d'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.
- nbinsy
Code:fig.update_traces(nbinsy=<VALUE>, selector=dict(type='histogram2d'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.
- autobinx
Code:fig.update_traces(autobinx=<VALUE>, selector=dict(type='histogram2d'))
Type: booleanObsolete: since v1.42 each bin attribute is auto-determined separately and `autobinx` is not needed. However, we accept `autobinx: True` or `False` and will update `xbins` accordingly before deleting `autobinx` from the trace.
- autobiny
Code:fig.update_traces(autobiny=<VALUE>, selector=dict(type='histogram2d'))
Type: booleanObsolete: since v1.42 each bin attribute is auto-determined separately and `autobiny` is not needed. However, we accept `autobiny: True` or `False` and will update `ybins` accordingly before deleting `autobiny` from the trace.
- bingroup
Code:fig.update_traces(bingroup=<VALUE>, selector=dict(type='histogram2d'))
Type: string
Default:""
Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of "1" on two histogram2d traces will make them their x-bins and y-bins match separately.
- xbingroup
Code:fig.update_traces(xbingroup=<VALUE>, selector=dict(type='histogram2d'))
Type: string
Default:""
Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup`
- xbins
Code:fig.update_traces(xbins=dict(...), selector=dict(type='histogram2d'))
Type: dict containing one or more of the keys listed below.- start
Code:fig.update_traces(xbins_start=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringSets the starting value for the x axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5.
- end
Code:fig.update_traces(xbins_end=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringSets the end value for the x axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers.
- size
Code:fig.update_traces(xbins_size=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringSets the size of each x axis bin. Default behavior: If `nbinsx` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsx` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or "M<n>" for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1).
- start
- ybingroup
Code:fig.update_traces(ybingroup=<VALUE>, selector=dict(type='histogram2d'))
Type: string
Default:""
Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup`
- ybins
Code:fig.update_traces(ybins=dict(...), selector=dict(type='histogram2d'))
Type: dict containing one or more of the keys listed below.- start
Code:fig.update_traces(ybins_start=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringSets the starting value for the y axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5.
- end
Code:fig.update_traces(ybins_end=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringSets the end value for the y axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers.
- size
Code:fig.update_traces(ybins_size=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringSets the size of each y axis bin. Default behavior: If `nbinsy` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsy` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or "M<n>" for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1).
- start
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='histogram2d'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='histogram2d'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the aggregation data.
- color
- colorbar
Code:fig.update_traces(colorbar=dict(...), selector=dict(type='histogram2d'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(colorbar_thicknessmode=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(colorbar_thickness=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(colorbar_lenmode=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(colorbar_len=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(colorbar_x=<VALUE>, selector=dict(type='histogram2d'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(colorbar_xanchor=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(colorbar_xpad=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(colorbar_y=<VALUE>, selector=dict(type='histogram2d'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(colorbar_yanchor=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(colorbar_ypad=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(colorbar_outlinecolor=<VALUE>, selector=dict(type='histogram2d'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(colorbar_outlinewidth=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(colorbar_bordercolor=<VALUE>, selector=dict(type='histogram2d'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(colorbar_borderwidth=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(colorbar_bgcolor=<VALUE>, selector=dict(type='histogram2d'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(colorbar_tickmode=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(colorbar_nticks=<VALUE>, selector=dict(type='histogram2d'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(colorbar_tick0=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(colorbar_dtick=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(colorbar_tickvals=<VALUE>, selector=dict(type='histogram2d'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(colorbar_ticktext=<VALUE>, selector=dict(type='histogram2d'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(colorbar_ticks=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(colorbar_ticklabelposition=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(colorbar_ticklen=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(colorbar_tickwidth=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(colorbar_tickcolor=<VALUE>, selector=dict(type='histogram2d'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(colorbar_showticklabels=<VALUE>, selector=dict(type='histogram2d'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(colorbar_tickfont=dict(...), selector=dict(type='histogram2d'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(colorbar_tickfont_family=<VALUE>, selector=dict(type='histogram2d'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_tickfont_size=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_tickfont_color=<VALUE>, selector=dict(type='histogram2d'))
Type: color
- family
- tickangle
Code:fig.update_traces(colorbar_tickangle=<VALUE>, selector=dict(type='histogram2d'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(colorbar_tickformat=<VALUE>, selector=dict(type='histogram2d'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(colorbar_tickformatstops=list(...), selector=dict(type='histogram2d'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=histogram2d].colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=histogram2d].colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=histogram2d].colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=histogram2d].colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=histogram2d].colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(colorbar_tickprefix=<VALUE>, selector=dict(type='histogram2d'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(colorbar_showtickprefix=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(colorbar_ticksuffix=<VALUE>, selector=dict(type='histogram2d'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(colorbar_showticksuffix=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(colorbar_separatethousands=<VALUE>, selector=dict(type='histogram2d'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(colorbar_exponentformat=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(colorbar_minexponent=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(colorbar_showexponent=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(colorbar_title=dict(...), selector=dict(type='histogram2d'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(colorbar_title_text=<VALUE>, selector=dict(type='histogram2d'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(colorbar_title_font=dict(...), selector=dict(type='histogram2d'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(colorbar_title_font_family=<VALUE>, selector=dict(type='histogram2d'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_title_font_size=<VALUE>, selector=dict(type='histogram2d'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_title_font_color=<VALUE>, selector=dict(type='histogram2d'))
Type: color
- family
- side
Code:fig.update_traces(colorbar_title_side=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- autocolorscale
Code:fig.update_traces(autocolorscale=<VALUE>, selector=dict(type='histogram2d'))
Type: booleanDetermines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- colorscale
Code:fig.update_traces(colorscale=<VALUE>, selector=dict(type='histogram2d'))
Type: colorscaleSets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- showscale
Code:fig.update_traces(showscale=<VALUE>, selector=dict(type='histogram2d'))
Type: boolean
Default:True
Determines whether or not a colorbar is displayed for this trace.
- reversescale
Code:fig.update_traces(reversescale=<VALUE>, selector=dict(type='histogram2d'))
Type: booleanReverses the color mapping if True. If True, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.
- zauto
Code:fig.update_traces(zauto=<VALUE>, selector=dict(type='histogram2d'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `False` when `zmin` and `zmax` are set by the user.
- zhoverformat
Code:fig.update_traces(zhoverformat=<VALUE>, selector=dict(type='histogram2d'))
Type: string
Default:""
Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. See: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format
- zmax
Code:fig.update_traces(zmax=<VALUE>, selector=dict(type='histogram2d'))
Type: numberSets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well.
- zmid
Code:fig.update_traces(zmid=<VALUE>, selector=dict(type='histogram2d'))
Type: numberSets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `False`.
- zmin
Code:fig.update_traces(zmin=<VALUE>, selector=dict(type='histogram2d'))
Type: numberSets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well.
- zsmooth
Code:fig.update_traces(zsmooth=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("fast"
|"best"
|False
)Picks a smoothing algorithm use to smooth `z` data.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='histogram2d'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='histogram2d'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='histogram2d'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='histogram2d'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='histogram2d'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='histogram2d'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='histogram2d'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='histogram2d'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- ycalendar
Code:fig.update_traces(ycalendar=<VALUE>, selector=dict(type='histogram2d'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='histogram2d'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
histogram2dcontour traces
plotly.graph_objects.Histogram2Dcontour
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the sample data to be binned on the x axis.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the sample data to be binned on the y axis.
- z
Code:fig.update_traces(z=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the aggregation data.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variable `z` Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- coloraxis
Code:fig.update_traces(coloraxis=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- histfunc
Code:fig.update_traces(histfunc=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("count"
|"sum"
|"avg"
|"min"
|"max"
)
Default:"count"
Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.
- histnorm
Code:fig.update_traces(histnorm=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of (""
|"percent"
|"probability"
|"density"
|"probability density"
)
Default:""
Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).
- nbinsx
Code:fig.update_traces(nbinsx=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.
- nbinsy
Code:fig.update_traces(nbinsy=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.
- autobinx
Code:fig.update_traces(autobinx=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: booleanObsolete: since v1.42 each bin attribute is auto-determined separately and `autobinx` is not needed. However, we accept `autobinx: True` or `False` and will update `xbins` accordingly before deleting `autobinx` from the trace.
- autobiny
Code:fig.update_traces(autobiny=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: booleanObsolete: since v1.42 each bin attribute is auto-determined separately and `autobiny` is not needed. However, we accept `autobiny: True` or `False` and will update `ybins` accordingly before deleting `autobiny` from the trace.
- bingroup
Code:fig.update_traces(bingroup=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:""
Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of "1" on two histogram2d traces will make them their x-bins and y-bins match separately.
- xbingroup
Code:fig.update_traces(xbingroup=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:""
Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup`
- xbins
Code:fig.update_traces(xbins=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.- start
Code:fig.update_traces(xbins_start=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringSets the starting value for the x axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5.
- end
Code:fig.update_traces(xbins_end=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringSets the end value for the x axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers.
- size
Code:fig.update_traces(xbins_size=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringSets the size of each x axis bin. Default behavior: If `nbinsx` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsx` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or "M<n>" for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1).
- start
- ybingroup
Code:fig.update_traces(ybingroup=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:""
Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup`
- ybins
Code:fig.update_traces(ybins=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.- start
Code:fig.update_traces(ybins_start=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringSets the starting value for the y axis bins. Defaults to the minimum data value, shifted down if necessary to make nice round values and to remove ambiguous bin edges. For example, if most of the data is integers we shift the bin edges 0.5 down, so a `size` of 5 would have a default `start` of -0.5, so it is clear that 0-4 are in the first bin, 5-9 in the second, but continuous data gets a start of 0 and bins [0,5), [5,10) etc. Dates behave similarly, and `start` should be a date string. For category data, `start` is based on the category serial numbers, and defaults to -0.5.
- end
Code:fig.update_traces(ybins_end=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringSets the end value for the y axis bins. The last bin may not end exactly at this value, we increment the bin edge by `size` from `start` until we reach or exceed `end`. Defaults to the maximum data value. Like `start`, for dates use a date string, and for category data `end` is based on the category serial numbers.
- size
Code:fig.update_traces(ybins_size=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringSets the size of each y axis bin. Default behavior: If `nbinsy` is 0 or omitted, we choose a nice round bin size such that the number of bins is about the same as the typical number of samples in each bin. If `nbinsy` is provided, we choose a nice round bin size giving no more than that many bins. For date data, use milliseconds or "M<n>" for months, as in `axis.dtick`. For category data, the number of categories to bin together (always defaults to 1).
- start
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the aggregation data.
- color
- line
Code:fig.update_traces(line=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(line_color=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: colorSets the color of the contour level. Has no effect if `contours.coloring` is set to "lines".
- width
Code:fig.update_traces(line_width=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:0.5
Sets the contour line width in (in px)
- dash
Code:fig.update_traces(line_dash=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:"solid"
Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px").
- smoothing
Code:fig.update_traces(line_smoothing=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number between or equal to 0 and 1.3
Default:1
Sets the amount of smoothing for the contour lines, where "0" corresponds to no smoothing.
- color
- colorbar
Code:fig.update_traces(colorbar=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(colorbar_thicknessmode=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(colorbar_thickness=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(colorbar_lenmode=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(colorbar_len=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(colorbar_x=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(colorbar_xanchor=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(colorbar_xpad=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(colorbar_y=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(colorbar_yanchor=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(colorbar_ypad=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(colorbar_outlinecolor=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(colorbar_outlinewidth=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(colorbar_bordercolor=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(colorbar_borderwidth=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(colorbar_bgcolor=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(colorbar_tickmode=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(colorbar_nticks=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(colorbar_tick0=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(colorbar_dtick=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(colorbar_tickvals=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(colorbar_ticktext=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(colorbar_ticks=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(colorbar_ticklabelposition=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(colorbar_ticklen=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(colorbar_tickwidth=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(colorbar_tickcolor=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(colorbar_showticklabels=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(colorbar_tickfont=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(colorbar_tickfont_family=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_tickfont_size=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_tickfont_color=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color
- family
- tickangle
Code:fig.update_traces(colorbar_tickangle=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(colorbar_tickformat=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(colorbar_tickformatstops=list(...), selector=dict(type='histogram2dcontour'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=histogram2dcontour].colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=histogram2dcontour].colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=histogram2dcontour].colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=histogram2dcontour].colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=histogram2dcontour].colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(colorbar_tickprefix=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(colorbar_showtickprefix=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(colorbar_ticksuffix=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(colorbar_showticksuffix=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(colorbar_separatethousands=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(colorbar_exponentformat=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(colorbar_minexponent=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(colorbar_showexponent=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(colorbar_title=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(colorbar_title_text=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(colorbar_title_font=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(colorbar_title_font_family=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(colorbar_title_font_size=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(colorbar_title_font_color=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color
- family
- side
Code:fig.update_traces(colorbar_title_side=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- autocolorscale
Code:fig.update_traces(autocolorscale=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- colorscale
Code:fig.update_traces(colorscale=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: colorscaleSets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- showscale
Code:fig.update_traces(showscale=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: boolean
Default:True
Determines whether or not a colorbar is displayed for this trace.
- reversescale
Code:fig.update_traces(reversescale=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: booleanReverses the color mapping if True. If True, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.
- zauto
Code:fig.update_traces(zauto=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `False` when `zmin` and `zmax` are set by the user.
- zhoverformat
Code:fig.update_traces(zhoverformat=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:""
Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. See: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format
- zmax
Code:fig.update_traces(zmax=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: numberSets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well.
- zmid
Code:fig.update_traces(zmid=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: numberSets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `False`.
- zmin
Code:fig.update_traces(zmin=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: numberSets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well.
- autocontour
Code:fig.update_traces(autocontour=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: boolean
Default:True
Determines whether or not the contour level attributes are picked by an algorithm. If "True", the number of contour levels can be set in `ncontours`. If "False", set the contour level attributes in `contours`.
- contours
Code:fig.update_traces(contours=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.- type
Code:fig.update_traces(contours_type=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("levels"
|"constraint"
)
Default:"levels"
If `levels`, the data is represented as a contour plot with multiple levels displayed. If `constraint`, the data is represented as constraints with the invalid region shaded as specified by the `operation` and `value` parameters.
- start
Code:fig.update_traces(contours_start=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: numberSets the starting contour level value. Must be less than `contours.end`
- end
Code:fig.update_traces(contours_end=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: numberSets the end contour level value. Must be more than `contours.start`
- size
Code:fig.update_traces(contours_size=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 0Sets the step between each contour level. Must be positive.
- coloring
Code:fig.update_traces(contours_coloring=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("fill"
|"heatmap"
|"lines"
|"none"
)
Default:"fill"
Determines the coloring method showing the contour values. If "fill", coloring is done evenly between each contour level If "heatmap", a heatmap gradient coloring is applied between each contour level. If "lines", coloring is done on the contour lines. If "none", no coloring is applied on this trace.
- showlines
Code:fig.update_traces(contours_showlines=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: boolean
Default:True
Determines whether or not the contour lines are drawn. Has an effect only if `contours.coloring` is set to "fill".
- showlabels
Code:fig.update_traces(contours_showlabels=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: booleanDetermines whether to label the contour lines with their values.
- labelfont
Code:fig.update_traces(contours_labelfont=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.Sets the font used for labeling the contour levels. The default color comes from the lines, if shown. The default family and size come from `layout.font`.
- family
Code:fig.update_traces(contours_labelfont_family=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(contours_labelfont_size=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(contours_labelfont_color=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color
- family
- labelformat
Code:fig.update_traces(contours_labelformat=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string
Default:""
Sets the contour label formatting rule using d3 formatting mini-language which is very similar to Python, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format
- operation
Code:fig.update_traces(contours_operation=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("="
|"<"
|">="
|">"
|"<="
|"[]"
|"()"
|"[)"
|"(]"
|"]["
|")("
|"]("
|")["
)
Default:"="
Sets the constraint operation. "=" keeps regions equal to `value` "<" and "<=" keep regions less than `value` ">" and ">=" keep regions greater than `value` "[]", "()", "[)", and "(]" keep regions inside `value[0]` to `value[1]` "][", ")(", "](", ")[" keep regions outside `value[0]` to value[1]` Open vs. closed intervals make no difference to constraint display, but all versions are allowed for consistency with filter transforms.
- value
Code:fig.update_traces(contours_value=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate string
Default:0
Sets the value or values of the constraint boundary. When `operation` is set to one of the comparison values (=,<,>=,>,<=) "value" is expected to be a number. When `operation` is set to one of the interval values ([],(),[),(],][,)(,](,)[) "value" is expected to be an array of two numbers where the first is the lower bound and the second is the upper bound.
- type
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='histogram2dcontour'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- ncontours
Code:fig.update_traces(ncontours=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: integer greater than or equal to 1
Default:15
Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is "True" or if `contours.size` is missing.
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- ycalendar
Code:fig.update_traces(ycalendar=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='histogram2dcontour'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
ohlc traces
plotly.graph_objects.Ohlc
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The ohlc (short for Open-High-Low-Close) is a style of financial chart describing open, high, low and close for a given `x` coordinate (most likely time). The tip of the lines represent the `low` and `high` values and the horizontal segments represent the `open` and `close` values. Sample points where the close value is higher (lower) then the open value are called increasing (decreasing). By default, increasing items are drawn in green whereas decreasing are drawn in red.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='ohlc'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='ohlc'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='ohlc'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='ohlc'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='ohlc'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='ohlc'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='ohlc'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates. If absent, linear coordinate will be generated.
- close
Code:fig.update_traces(close=<VALUE>, selector=dict(type='ohlc'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the close values.
- open
Code:fig.update_traces(open=<VALUE>, selector=dict(type='ohlc'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the open values.
- high
Code:fig.update_traces(high=<VALUE>, selector=dict(type='ohlc'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the high values.
- low
Code:fig.update_traces(low=<VALUE>, selector=dict(type='ohlc'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the low values.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='ohlc'))
Type: string or array of strings
Default:""
Sets hover text elements associated with each sample point. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to this trace's sample points.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='ohlc'))
Type: string or array of strings
Default:""
Same as `text`.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='ohlc'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='ohlc'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='ohlc'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='ohlc'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='ohlc'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='ohlc'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='ohlc'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='ohlc'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- line
Code:fig.update_traces(line=dict(...), selector=dict(type='ohlc'))
Type: dict containing one or more of the keys listed below.- width
Code:fig.update_traces(line_width=<VALUE>, selector=dict(type='ohlc'))
Type: number greater than or equal to 0
Default:2
[object Object] Note that this style setting can also be set per direction via `increasing.line.width` and `decreasing.line.width`.
- dash
Code:fig.update_traces(line_dash=<VALUE>, selector=dict(type='ohlc'))
Type: string
Default:"solid"
Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px"). Note that this style setting can also be set per direction via `increasing.line.dash` and `decreasing.line.dash`.
- width
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='ohlc'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- increasing
Code:fig.update_traces(increasing=dict(...), selector=dict(type='ohlc'))
Type: dict containing one or more of the keys listed below.- line
Code:fig.update_traces(increasing_line=dict(...), selector=dict(type='ohlc'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(increasing_line_color=<VALUE>, selector=dict(type='ohlc'))
Type: color
Default:"#3D9970"
Sets the line color.
- width
Code:fig.update_traces(increasing_line_width=<VALUE>, selector=dict(type='ohlc'))
Type: number greater than or equal to 0
Default:2
Sets the line width (in px).
- dash
Code:fig.update_traces(increasing_line_dash=<VALUE>, selector=dict(type='ohlc'))
Type: string
Default:"solid"
Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px").
- color
- line
- decreasing
Code:fig.update_traces(decreasing=dict(...), selector=dict(type='ohlc'))
Type: dict containing one or more of the keys listed below.- line
Code:fig.update_traces(decreasing_line=dict(...), selector=dict(type='ohlc'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(decreasing_line_color=<VALUE>, selector=dict(type='ohlc'))
Type: color
Default:"#FF4136"
Sets the line color.
- width
Code:fig.update_traces(decreasing_line_width=<VALUE>, selector=dict(type='ohlc'))
Type: number greater than or equal to 0
Default:2
Sets the line width (in px).
- dash
Code:fig.update_traces(decreasing_line_dash=<VALUE>, selector=dict(type='ohlc'))
Type: string
Default:"solid"
Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px").
- color
- line
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='ohlc'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='ohlc'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='ohlc'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='ohlc'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='ohlc'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='ohlc'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='ohlc'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='ohlc'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='ohlc'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- split
Code:fig.update_traces(hoverlabel_split=<VALUE>, selector=dict(type='ohlc'))
Type: booleanShow hover information (open, close, high, low) in separate labels.
- bgcolor
- tickwidth
Code:fig.update_traces(tickwidth=<VALUE>, selector=dict(type='ohlc'))
Type: number between or equal to 0 and 0.5
Default:0.3
Sets the width of the open/close tick marks relative to the "x" minimal interval.
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='ohlc'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='ohlc'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
candlestick traces
plotly.graph_objects.Candlestick
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. The candlestick is a style of financial chart describing open, high, low and close for a given `x` coordinate (most likely time). The boxes represent the spread between the `open` and `close` values and the lines represent the spread between the `low` and `high` values Sample points where the close value is higher (lower) then the open value are called increasing (decreasing). By default, increasing candles are drawn in green whereas decreasing are drawn in red.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='candlestick'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='candlestick'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='candlestick'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='candlestick'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='candlestick'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='candlestick'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='candlestick'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates. If absent, linear coordinate will be generated.
- close
Code:fig.update_traces(close=<VALUE>, selector=dict(type='candlestick'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the close values.
- open
Code:fig.update_traces(open=<VALUE>, selector=dict(type='candlestick'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the open values.
- high
Code:fig.update_traces(high=<VALUE>, selector=dict(type='candlestick'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the high values.
- low
Code:fig.update_traces(low=<VALUE>, selector=dict(type='candlestick'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the low values.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='candlestick'))
Type: string or array of strings
Default:""
Sets hover text elements associated with each sample point. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to this trace's sample points.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='candlestick'))
Type: string or array of strings
Default:""
Same as `text`.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='candlestick'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='candlestick'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='candlestick'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='candlestick'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='candlestick'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='candlestick'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='candlestick'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='candlestick'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- line
Code:fig.update_traces(line=dict(...), selector=dict(type='candlestick'))
Type: dict containing one or more of the keys listed below.- width
Code:fig.update_traces(line_width=<VALUE>, selector=dict(type='candlestick'))
Type: number greater than or equal to 0
Default:2
Sets the width (in px) of line bounding the box(es). Note that this style setting can also be set per direction via `increasing.line.width` and `decreasing.line.width`.
- width
- whiskerwidth
Code:fig.update_traces(whiskerwidth=<VALUE>, selector=dict(type='candlestick'))
Type: number between or equal to 0 and 1
Default:0
Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es).
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='candlestick'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- increasing
Code:fig.update_traces(increasing=dict(...), selector=dict(type='candlestick'))
Type: dict containing one or more of the keys listed below.- line
Code:fig.update_traces(increasing_line=dict(...), selector=dict(type='candlestick'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(increasing_line_color=<VALUE>, selector=dict(type='candlestick'))
Type: color
Default:"#3D9970"
Sets the color of line bounding the box(es).
- width
Code:fig.update_traces(increasing_line_width=<VALUE>, selector=dict(type='candlestick'))
Type: number greater than or equal to 0
Default:2
Sets the width (in px) of line bounding the box(es).
- color
- fillcolor
Code:fig.update_traces(increasing_fillcolor=<VALUE>, selector=dict(type='candlestick'))
Type: colorSets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
- line
- decreasing
Code:fig.update_traces(decreasing=dict(...), selector=dict(type='candlestick'))
Type: dict containing one or more of the keys listed below.- line
Code:fig.update_traces(decreasing_line=dict(...), selector=dict(type='candlestick'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(decreasing_line_color=<VALUE>, selector=dict(type='candlestick'))
Type: color
Default:"#FF4136"
Sets the color of line bounding the box(es).
- width
Code:fig.update_traces(decreasing_line_width=<VALUE>, selector=dict(type='candlestick'))
Type: number greater than or equal to 0
Default:2
Sets the width (in px) of line bounding the box(es).
- color
- fillcolor
Code:fig.update_traces(decreasing_fillcolor=<VALUE>, selector=dict(type='candlestick'))
Type: colorSets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
- line
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='candlestick'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='candlestick'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='candlestick'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='candlestick'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='candlestick'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='candlestick'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='candlestick'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='candlestick'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='candlestick'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- split
Code:fig.update_traces(hoverlabel_split=<VALUE>, selector=dict(type='candlestick'))
Type: booleanShow hover information (open, close, high, low) in separate labels.
- bgcolor
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='candlestick'))
Type: enumerated , one of ("gregorian"
|"chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"hebrew"
|"islamic"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"jalali"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `x` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='candlestick'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
waterfall traces
plotly.graph_objects.Waterfall
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. Draws waterfall trace which is useful graph to displays the contribution of various elements (either positive or negative) in a bar chart. The data visualized by the span of the bars is set in `y` if `orientation` is set th "v" (the default) and the labels are set in `x`. By setting `orientation` to "h", the roles are interchanged.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='waterfall'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='waterfall'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='waterfall'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='waterfall'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='waterfall'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='waterfall'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='waterfall'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='waterfall'))
Type: number or categorical coordinate string
Default:0
Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='waterfall'))
Type: number
Default:1
Sets the x coordinate step. See `x0` for more info.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='waterfall'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y coordinates.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='waterfall'))
Type: number or categorical coordinate string
Default:0
Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='waterfall'))
Type: number
Default:1
Sets the y coordinate step. See `y0` for more info.
- base
Code:fig.update_traces(base=<VALUE>, selector=dict(type='waterfall'))
Type: numberSets where the bar base is drawn (in position axis units).
- width
Code:fig.update_traces(width=<VALUE>, selector=dict(type='waterfall'))
Type: number or array of numbers greater than or equal to 0Sets the bar width (in position axis units).
- measure
Code:fig.update_traces(measure=<VALUE>, selector=dict(type='waterfall'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.
Default:An array containing types of values. By default the values are considered as 'relative'. However; it is possible to use 'total' to compute the sums. Also 'absolute' could be applied to reset the computed total or to declare an initial value where needed.
- offset
Code:fig.update_traces(offset=<VALUE>, selector=dict(type='waterfall'))
Type: number or array of numbersShifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='waterfall'))
Type: string or array of strings
Default:""
Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels.
- textposition
Code:fig.update_traces(textposition=<VALUE>, selector=dict(type='waterfall'))
Type: enumerated or array of enumerateds , one of ("inside"
|"outside"
|"auto"
|"none"
)
Default:"none"
Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside.
- texttemplate
Code:fig.update_traces(texttemplate=<VALUE>, selector=dict(type='waterfall'))
Type: string or array of strings
Default:""
Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variables `initial`, `delta`, `final` and `label`.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='waterfall'))
Type: string or array of strings
Default:""
Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='waterfall'))
Type: flaglist string. Any combination of"name"
,"x"
,"y"
,"text"
,"initial"
,"delta"
,"final"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"name"
,"x"
,"name+x"
,"name+x+y"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='waterfall'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variables `initial`, `delta` and `final`. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='waterfall'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='waterfall'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='waterfall'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='waterfall'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- orientation
Code:fig.update_traces(orientation=<VALUE>, selector=dict(type='waterfall'))
Type: enumerated , one of ("v"
|"h"
)Sets the orientation of the bars. With "v" ("h"), the value of the each bar spans along the vertical (horizontal).
- alignmentgroup
Code:fig.update_traces(alignmentgroup=<VALUE>, selector=dict(type='waterfall'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
- offsetgroup
Code:fig.update_traces(offsetgroup=<VALUE>, selector=dict(type='waterfall'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='waterfall'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='waterfall'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='waterfall'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- yperiod
Code:fig.update_traces(yperiod=<VALUE>, selector=dict(type='waterfall'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- yperiodalignment
Code:fig.update_traces(yperiodalignment=<VALUE>, selector=dict(type='waterfall'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis.
- yperiod0
Code:fig.update_traces(yperiod0=<VALUE>, selector=dict(type='waterfall'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- textangle
Code:fig.update_traces(textangle=<VALUE>, selector=dict(type='waterfall'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars.
- textfont
Code:fig.update_traces(textfont=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.Sets the font used for `text`.
- family
Code:fig.update_traces(textfont_family=<VALUE>, selector=dict(type='waterfall'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(textfont_size=<VALUE>, selector=dict(type='waterfall'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(textfont_color=<VALUE>, selector=dict(type='waterfall'))
Type: color or array of colors
- family
- textinfo
Code:fig.update_traces(textinfo=<VALUE>, selector=dict(type='waterfall'))
Type: flaglist string. Any combination of"label"
,"text"
,"initial"
,"delta"
,"final"
joined with a"+"
OR"none"
.
Examples:"label"
,"text"
,"label+text"
,"label+text+initial"
,"none"
Determines which trace information appear on the graph. In the case of having multiple waterfalls, totals are computed separately (per trace).
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='waterfall'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- cliponaxis
Code:fig.update_traces(cliponaxis=<VALUE>, selector=dict(type='waterfall'))
Type: boolean
Default:True
Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to "below traces".
- connector
Code:fig.update_traces(connector=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- line
Code:fig.update_traces(connector_line=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(connector_line_color=<VALUE>, selector=dict(type='waterfall'))
Type: color
Default:"#444"
Sets the line color.
- width
Code:fig.update_traces(connector_line_width=<VALUE>, selector=dict(type='waterfall'))
Type: number greater than or equal to 0
Default:2
Sets the line width (in px).
- dash
Code:fig.update_traces(connector_line_dash=<VALUE>, selector=dict(type='waterfall'))
Type: string
Default:"solid"
Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px").
- color
- mode
Code:fig.update_traces(connector_mode=<VALUE>, selector=dict(type='waterfall'))
Type: enumerated , one of ("spanning"
|"between"
)
Default:"between"
Sets the shape of connector lines.
- visible
Code:fig.update_traces(connector_visible=<VALUE>, selector=dict(type='waterfall'))
Type: boolean
Default:True
Determines if connector lines are drawn.
- line
- constraintext
Code:fig.update_traces(constraintext=<VALUE>, selector=dict(type='waterfall'))
Type: enumerated , one of ("inside"
|"outside"
|"both"
|"none"
)
Default:"both"
Constrain the size of text inside or outside a bar to be no larger than the bar itself.
- increasing
Code:fig.update_traces(increasing=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(increasing_marker=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(increasing_marker_color=<VALUE>, selector=dict(type='waterfall'))
Type: colorSets the marker color of all increasing values.
- line
Code:fig.update_traces(increasing_marker_line=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(increasing_marker_line_color=<VALUE>, selector=dict(type='waterfall'))
Type: colorSets the line color of all increasing values.
- width
Code:fig.update_traces(increasing_marker_line_width=<VALUE>, selector=dict(type='waterfall'))
Type: number greater than or equal to 0
Default:0
Sets the line width of all increasing values.
- color
- color
- marker
- decreasing
Code:fig.update_traces(decreasing=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(decreasing_marker=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(decreasing_marker_color=<VALUE>, selector=dict(type='waterfall'))
Type: colorSets the marker color of all decreasing values.
- line
Code:fig.update_traces(decreasing_marker_line=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(decreasing_marker_line_color=<VALUE>, selector=dict(type='waterfall'))
Type: colorSets the line color of all decreasing values.
- width
Code:fig.update_traces(decreasing_marker_line_width=<VALUE>, selector=dict(type='waterfall'))
Type: number greater than or equal to 0
Default:0
Sets the line width of all decreasing values.
- color
- color
- marker
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='waterfall'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='waterfall'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='waterfall'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='waterfall'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='waterfall'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='waterfall'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='waterfall'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- insidetextanchor
Code:fig.update_traces(insidetextanchor=<VALUE>, selector=dict(type='waterfall'))
Type: enumerated , one of ("end"
|"middle"
|"start"
)
Default:"end"
Determines if texts are kept at center or start/end points in `textposition` "inside" mode.
- insidetextfont
Code:fig.update_traces(insidetextfont=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.Sets the font used for `text` lying inside the bar.
- family
Code:fig.update_traces(insidetextfont_family=<VALUE>, selector=dict(type='waterfall'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(insidetextfont_size=<VALUE>, selector=dict(type='waterfall'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(insidetextfont_color=<VALUE>, selector=dict(type='waterfall'))
Type: color or array of colors
- family
- outsidetextfont
Code:fig.update_traces(outsidetextfont=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.Sets the font used for `text` lying outside the bar.
- family
Code:fig.update_traces(outsidetextfont_family=<VALUE>, selector=dict(type='waterfall'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(outsidetextfont_size=<VALUE>, selector=dict(type='waterfall'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(outsidetextfont_color=<VALUE>, selector=dict(type='waterfall'))
Type: color or array of colors
- family
- totals
Code:fig.update_traces(totals=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(totals_marker=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(totals_marker_color=<VALUE>, selector=dict(type='waterfall'))
Type: colorSets the marker color of all intermediate sums and total values.
- line
Code:fig.update_traces(totals_marker_line=dict(...), selector=dict(type='waterfall'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(totals_marker_line_color=<VALUE>, selector=dict(type='waterfall'))
Type: colorSets the line color of all intermediate sums and total values.
- width
Code:fig.update_traces(totals_marker_line_width=<VALUE>, selector=dict(type='waterfall'))
Type: number greater than or equal to 0
Default:0
Sets the line width of all intermediate sums and total values.
- color
- color
- marker
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='waterfall'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.
funnel traces
plotly.graph_objects.Funnel
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. Visualize stages in a process using length-encoded bars. This trace can be used to show data in either a part-to-whole representation wherein each item appears in a single stage, or in a "drop-off" representation wherein each item appears in each stage it traversed. See also the "funnelarea" trace type for a different approach to visualizing funnel data.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='funnel'))
Type: stringSets the trace name. The trace name appear as the legend item and on hover.
- visible
Code:fig.update_traces(visible=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of (True
|False
|"legendonly"
)
Default:True
Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).
- showlegend
Code:fig.update_traces(showlegend=<VALUE>, selector=dict(type='funnel'))
Type: boolean
Default:True
Determines whether or not an item corresponding to this trace is shown in the legend.
- legendgroup
Code:fig.update_traces(legendgroup=<VALUE>, selector=dict(type='funnel'))
Type: string
Default:""
Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items.
- opacity
Code:fig.update_traces(opacity=<VALUE>, selector=dict(type='funnel'))
Type: number between or equal to 0 and 1
Default:1
Sets the opacity of the trace.
- ids
Code:fig.update_traces(ids=<VALUE>, selector=dict(type='funnel'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='funnel'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x coordinates.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate string
Default:0
Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='funnel'))
Type: number
Default:1
Sets the x coordinate step. See `x0` for more info.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='funnel'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y coordinates.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate string
Default:0
Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='funnel'))
Type: number
Default:1
Sets the y coordinate step. See `y0` for more info.
- width
Code:fig.update_traces(width=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0Sets the bar width (in position axis units).
- offset
Code:fig.update_traces(offset=<VALUE>, selector=dict(type='funnel'))
Type: numberShifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='funnel'))
Type: string or array of strings
Default:""
Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels.
- textposition
Code:fig.update_traces(textposition=<VALUE>, selector=dict(type='funnel'))
Type: enumerated or array of enumerateds , one of ("inside"
|"outside"
|"auto"
|"none"
)
Default:"auto"
Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside.
- texttemplate
Code:fig.update_traces(texttemplate=<VALUE>, selector=dict(type='funnel'))
Type: string or array of strings
Default:""
Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variables `percentInitial`, `percentPrevious`, `percentTotal`, `label` and `value`.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='funnel'))
Type: string or array of strings
Default:""
Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='funnel'))
Type: flaglist string. Any combination of"name"
,"x"
,"y"
,"text"
,"percent initial"
,"percent previous"
,"percent total"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"name"
,"x"
,"name+x"
,"name+x+y"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='funnel'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-format#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. variables `percentInitial`, `percentPrevious` and `percentTotal`. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`.
- meta
Code:fig.update_traces(meta=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='funnel'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='funnel'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='funnel'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- orientation
Code:fig.update_traces(orientation=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("v"
|"h"
)Sets the orientation of the funnels. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). By default funnels are tend to be oriented horizontally; unless only "y" array is presented or orientation is set to "v". Also regarding graphs including only 'horizontal' funnels, "autorange" on the "y-axis" are set to "reversed".
- alignmentgroup
Code:fig.update_traces(alignmentgroup=<VALUE>, selector=dict(type='funnel'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
- offsetgroup
Code:fig.update_traces(offsetgroup=<VALUE>, selector=dict(type='funnel'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- yperiod
Code:fig.update_traces(yperiod=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- yperiodalignment
Code:fig.update_traces(yperiodalignment=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis.
- yperiod0
Code:fig.update_traces(yperiod0=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.- line
Code:fig.update_traces(marker_line=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.- width
Code:fig.update_traces(marker_line_width=<VALUE>, selector=dict(type='funnel'))
Type: number or array of numbers greater than or equal to 0
Default:0
Sets the width (in px) of the lines bounding the marker points.
- color
Code:fig.update_traces(marker_line_color=<VALUE>, selector=dict(type='funnel'))
Type: color or array of colorsSets themarker.linecolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.line.cmin` and `marker.line.cmax` if set.
- cauto
Code:fig.update_traces(marker_line_cauto=<VALUE>, selector=dict(type='funnel'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.line.color`) or the bounds set in `marker.line.cmin` and `marker.line.cmax` Has an effect only if in `marker.line.color`is set to a numerical array. Defaults to `False` when `marker.line.cmin` and `marker.line.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_line_cmin=<VALUE>, selector=dict(type='funnel'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_line_cmax=<VALUE>, selector=dict(type='funnel'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color` and if set, `marker.line.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_line_cmid=<VALUE>, selector=dict(type='funnel'))
Type: numberSets the mid-point of the color domain by scaling `marker.line.cmin` and/or `marker.line.cmax` to be equidistant to this point. Has an effect only if in `marker.line.color`is set to a numerical array. Value should have the same units as in `marker.line.color`. Has no effect when `marker.line.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_line_colorscale=<VALUE>, selector=dict(type='funnel'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.line.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.line.cmin` and `marker.line.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_line_autocolorscale=<VALUE>, selector=dict(type='funnel'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.line.colorscale`. Has an effect only if in `marker.line.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_line_reversescale=<VALUE>, selector=dict(type='funnel'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.line.color`is set to a numerical array. If True, `marker.line.cmin` will correspond to the last color in the array and `marker.line.cmax` will correspond to the first color.
- coloraxis
Code:fig.update_traces(marker_line_coloraxis=<VALUE>, selector=dict(type='funnel'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- width
- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='funnel'))
Type: color or array of colorsSets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set.
- cauto
Code:fig.update_traces(marker_cauto=<VALUE>, selector=dict(type='funnel'))
Type: boolean
Default:True
Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color`is set to a numerical array. Defaults to `False` when `marker.cmin` and `marker.cmax` are set by the user.
- cmin
Code:fig.update_traces(marker_cmin=<VALUE>, selector=dict(type='funnel'))
Type: numberSets the lower bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well.
- cmax
Code:fig.update_traces(marker_cmax=<VALUE>, selector=dict(type='funnel'))
Type: numberSets the upper bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well.
- cmid
Code:fig.update_traces(marker_cmid=<VALUE>, selector=dict(type='funnel'))
Type: numberSets the mid-point of the color domain by scaling `marker.cmin` and/or `marker.cmax` to be equidistant to this point. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color`. Has no effect when `marker.cauto` is `False`.
- colorscale
Code:fig.update_traces(marker_colorscale=<VALUE>, selector=dict(type='funnel'))
Type: colorscaleSets the colorscale. Has an effect only if in `marker.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
- autocolorscale
Code:fig.update_traces(marker_autocolorscale=<VALUE>, selector=dict(type='funnel'))
Type: boolean
Default:True
Determines whether the colorscale is a default palette (`autocolorscale: True`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is True, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed.
- reversescale
Code:fig.update_traces(marker_reversescale=<VALUE>, selector=dict(type='funnel'))
Type: booleanReverses the color mapping if True. Has an effect only if in `marker.color`is set to a numerical array. If True, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color.
- showscale
Code:fig.update_traces(marker_showscale=<VALUE>, selector=dict(type='funnel'))
Type: booleanDetermines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color`is set to a numerical array.
- colorbar
Code:fig.update_traces(marker_colorbar=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.- thicknessmode
Code:fig.update_traces(marker_colorbar_thicknessmode=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"pixels"
Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value.
- thickness
Code:fig.update_traces(marker_colorbar_thickness=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:30
Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels.
- lenmode
Code:fig.update_traces(marker_colorbar_lenmode=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("fraction"
|"pixels"
)
Default:"fraction"
Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in "pixels. Use `len` to set the value.
- len
Code:fig.update_traces(marker_colorbar_len=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:1
Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends.
- x
Code:fig.update_traces(marker_colorbar_x=<VALUE>, selector=dict(type='funnel'))
Type: number between or equal to -2 and 3
Default:1.02
Sets the x position of the color bar (in plot fraction).
- xanchor
Code:fig.update_traces(marker_colorbar_xanchor=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("left"
|"center"
|"right"
)
Default:"left"
Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar.
- xpad
Code:fig.update_traces(marker_colorbar_xpad=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the x direction.
- y
Code:fig.update_traces(marker_colorbar_y=<VALUE>, selector=dict(type='funnel'))
Type: number between or equal to -2 and 3
Default:0.5
Sets the y position of the color bar (in plot fraction).
- yanchor
Code:fig.update_traces(marker_colorbar_yanchor=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("top"
|"middle"
|"bottom"
)
Default:"middle"
Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar.
- ypad
Code:fig.update_traces(marker_colorbar_ypad=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:10
Sets the amount of padding (in px) along the y direction.
- outlinecolor
Code:fig.update_traces(marker_colorbar_outlinecolor=<VALUE>, selector=dict(type='funnel'))
Type: color
Default:"#444"
Sets the axis line color.
- outlinewidth
Code:fig.update_traces(marker_colorbar_outlinewidth=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:1
Sets the width (in px) of the axis line.
- bordercolor
Code:fig.update_traces(marker_colorbar_bordercolor=<VALUE>, selector=dict(type='funnel'))
Type: color
Default:"#444"
Sets the axis line color.
- borderwidth
Code:fig.update_traces(marker_colorbar_borderwidth=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:0
Sets the width (in px) or the border enclosing this color bar.
- bgcolor
Code:fig.update_traces(marker_colorbar_bgcolor=<VALUE>, selector=dict(type='funnel'))
Type: color
Default:"rgba(0,0,0,0)"
Sets the color of padded area.
- tickmode
Code:fig.update_traces(marker_colorbar_tickmode=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("auto"
|"linear"
|"array"
)Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided).
- nticks
Code:fig.update_traces(marker_colorbar_nticks=<VALUE>, selector=dict(type='funnel'))
Type: integer greater than or equal to 0
Default:0
Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto".
- tick0
Code:fig.update_traces(marker_colorbar_tick0=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate stringSets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`="L<f>" (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears.
- dtick
Code:fig.update_traces(marker_colorbar_dtick=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate stringSets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"
- tickvals
Code:fig.update_traces(marker_colorbar_tickvals=<VALUE>, selector=dict(type='funnel'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`.
- ticktext
Code:fig.update_traces(marker_colorbar_ticktext=<VALUE>, selector=dict(type='funnel'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`.
- ticks
Code:fig.update_traces(marker_colorbar_ticks=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("outside"
|"inside"
|""
)
Default:""
Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines.
- ticklabelposition
Code:fig.update_traces(marker_colorbar_ticklabelposition=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("outside"
|"inside"
|"outside top"
|"inside top"
|"outside bottom"
|"inside bottom"
)
Default:"outside"
Determines where tick labels are drawn.
- ticklen
Code:fig.update_traces(marker_colorbar_ticklen=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:5
Sets the tick length (in px).
- tickwidth
Code:fig.update_traces(marker_colorbar_tickwidth=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:1
Sets the tick width (in px).
- tickcolor
Code:fig.update_traces(marker_colorbar_tickcolor=<VALUE>, selector=dict(type='funnel'))
Type: color
Default:"#444"
Sets the tick color.
- showticklabels
Code:fig.update_traces(marker_colorbar_showticklabels=<VALUE>, selector=dict(type='funnel'))
Type: boolean
Default:True
Determines whether or not the tick labels are drawn.
- tickfont
Code:fig.update_traces(marker_colorbar_tickfont=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.Sets the color bar's tick label font
- family
Code:fig.update_traces(marker_colorbar_tickfont_family=<VALUE>, selector=dict(type='funnel'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_tickfont_size=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_tickfont_color=<VALUE>, selector=dict(type='funnel'))
Type: color
- family
- tickangle
Code:fig.update_traces(marker_colorbar_tickangle=<VALUE>, selector=dict(type='funnel'))
Type: angle
Default:"auto"
Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically.
- tickformat
Code:fig.update_traces(marker_colorbar_tickformat=<VALUE>, selector=dict(type='funnel'))
Type: string
Default:""
Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time-format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, "2016-10-13 09:15:23.456" with tickformat "%H~%M~%S.%2f" would display "09~15~23.46"
- tickformatstops
Code:fig.update_traces(marker_colorbar_tickformatstops=list(...), selector=dict(type='funnel'))
Type: list of dict where each dict has one or more of the keys listed below.- enabled
Parent:data[type=funnel].marker.colorbar.tickformatstops[]
Type: boolean
Default:True
Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.
- dtickrange
Parent:data[type=funnel].marker.colorbar.tickformatstops[]
Type: listrange ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"
- value
Parent:data[type=funnel].marker.colorbar.tickformatstops[]
Type: string
Default:""
string - dtickformat for described zoom level, the same as "tickformat"
- name
Parent:data[type=funnel].marker.colorbar.tickformatstops[]
Type: stringWhen used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: False` or `enabled: False` to hide it). Has no effect outside of a template.
- templateitemname
Parent:data[type=funnel].marker.colorbar.tickformatstops[]
Type: stringUsed to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: False` or `enabled: False` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: True`.
- enabled
- tickprefix
Code:fig.update_traces(marker_colorbar_tickprefix=<VALUE>, selector=dict(type='funnel'))
Type: string
Default:""
Sets a tick label prefix.
- showtickprefix
Code:fig.update_traces(marker_colorbar_showtickprefix=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden.
- ticksuffix
Code:fig.update_traces(marker_colorbar_ticksuffix=<VALUE>, selector=dict(type='funnel'))
Type: string
Default:""
Sets a tick label suffix.
- showticksuffix
Code:fig.update_traces(marker_colorbar_showticksuffix=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
Same as `showtickprefix` but for tick suffixes.
- separatethousands
Code:fig.update_traces(marker_colorbar_separatethousands=<VALUE>, selector=dict(type='funnel'))
Type: booleanIf "True", even 4-digit integers are separated
- exponentformat
Code:fig.update_traces(marker_colorbar_exponentformat=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("none"
|"e"
|"E"
|"power"
|"SI"
|"B"
)
Default:"B"
Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B.
- minexponent
Code:fig.update_traces(marker_colorbar_minexponent=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:3
Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B".
- showexponent
Code:fig.update_traces(marker_colorbar_showexponent=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("all"
|"first"
|"last"
|"none"
)
Default:"all"
If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear.
- title
Code:fig.update_traces(marker_colorbar_title=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.- text
Code:fig.update_traces(marker_colorbar_title_text=<VALUE>, selector=dict(type='funnel'))
Type: stringSets the title of the color bar. Note that before the existence of `title.text`, the title's contents used to be defined as the `title` attribute itself. This behavior has been deprecated.
- font
Code:fig.update_traces(marker_colorbar_title_font=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute.
- family
Code:fig.update_traces(marker_colorbar_title_font_family=<VALUE>, selector=dict(type='funnel'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(marker_colorbar_title_font_size=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 1 - color
Code:fig.update_traces(marker_colorbar_title_font_color=<VALUE>, selector=dict(type='funnel'))
Type: color
- family
- side
Code:fig.update_traces(marker_colorbar_title_side=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("right"
|"top"
|"bottom"
)
Default:"top"
Determines the location of color bar's title with respect to the color bar. Note that the title's location used to be set by the now deprecated `titleside` attribute.
- text
- thicknessmode
- coloraxis
Code:fig.update_traces(marker_coloraxis=<VALUE>, selector=dict(type='funnel'))
Type: subplotidSets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis.
- opacity
Code:fig.update_traces(marker_opacity=<VALUE>, selector=dict(type='funnel'))
Type: number or array of numbers between or equal to 0 and 1
Default:1
Sets the opacity of the bars.
- line
- textangle
Code:fig.update_traces(textangle=<VALUE>, selector=dict(type='funnel'))
Type: angle
Default:0
Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars.
- textfont
Code:fig.update_traces(textfont=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.Sets the font used for `text`.
- family
Code:fig.update_traces(textfont_family=<VALUE>, selector=dict(type='funnel'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(textfont_size=<VALUE>, selector=dict(type='funnel'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(textfont_color=<VALUE>, selector=dict(type='funnel'))
Type: color or array of colors
- family
- textinfo
Code:fig.update_traces(textinfo=<VALUE>, selector=dict(type='funnel'))
Type: flaglist string. Any combination of"label"
,"text"
,"percent initial"
,"percent previous"
,"percent total"
,"value"
joined with a"+"
OR"none"
.
Examples:"label"
,"text"
,"label+text"
,"label+text+percent initial"
,"none"
Determines which trace information appear on the graph. In the case of having multiple funnels, percentages & totals are computed separately (per trace).
- selectedpoints
Code:fig.update_traces(selectedpoints=<VALUE>, selector=dict(type='funnel'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- cliponaxis
Code:fig.update_traces(cliponaxis=<VALUE>, selector=dict(type='funnel'))
Type: boolean
Default:True
Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to "below traces".
- connector
Code:fig.update_traces(connector=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.- fillcolor
Code:fig.update_traces(connector_fillcolor=<VALUE>, selector=dict(type='funnel'))
Type: colorSets the fill color.
- line
Code:fig.update_traces(connector_line=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(connector_line_color=<VALUE>, selector=dict(type='funnel'))
Type: color
Default:"#444"
Sets the line color.
- width
Code:fig.update_traces(connector_line_width=<VALUE>, selector=dict(type='funnel'))
Type: number greater than or equal to 0
Default:0
Sets the line width (in px).
- dash
Code:fig.update_traces(connector_line_dash=<VALUE>, selector=dict(type='funnel'))
Type: string
Default:"solid"
Sets the dash style of lines. Set to a dash type string ("solid", "dot", "dash", "longdash", "dashdot", or "longdashdot") or a dash length list in px (eg "5px,10px,2px,2px").
- color
- visible
Code:fig.update_traces(connector_visible=<VALUE>, selector=dict(type='funnel'))
Type: boolean
Default:True
Determines if connector regions and lines are drawn.
- fillcolor
- constraintext
Code:fig.update_traces(constraintext=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("inside"
|"outside"
|"both"
|"none"
)
Default:"both"
Constrain the size of text inside or outside a bar to be no larger than the bar itself.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='funnel'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='funnel'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='funnel'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(hoverlabel_font_size=<VALUE>, selector=dict(type='funnel'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='funnel'))
Type: color or array of colors
- family
- align
Code:fig.update_traces(hoverlabel_align=<VALUE>, selector=dict(type='funnel'))
Type: enumerated or array of enumerateds , one of ("left"
|"right"
|"auto"
)
Default:"auto"
Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines
- namelength
Code:fig.update_traces(hoverlabel_namelength=<VALUE>, selector=dict(type='funnel'))
Type: integer or array of integers greater than or equal to -1
Default:15
Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis.
- bgcolor
- insidetextanchor
Code:fig.update_traces(insidetextanchor=<VALUE>, selector=dict(type='funnel'))
Type: enumerated , one of ("end"
|"middle"
|"start"
)
Default:"middle"
Determines if texts are kept at center or start/end points in `textposition` "inside" mode.
- insidetextfont
Code:fig.update_traces(insidetextfont=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.Sets the font used for `text` lying inside the bar.
- family
Code:fig.update_traces(insidetextfont_family=<VALUE>, selector=dict(type='funnel'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(insidetextfont_size=<VALUE>, selector=dict(type='funnel'))
Type: number or array of numbers greater than or equal to 1 - color
Code:fig.update_traces(insidetextfont_color=<VALUE>, selector=dict(type='funnel'))
Type: color or array of colors
- family
- outsidetextfont
Code:fig.update_traces(outsidetextfont=dict(...), selector=dict(type='funnel'))
Type: dict containing one or more of the keys listed below.Sets the font used for `text` lying outside the bar.
- family
Code:fig.update_traces(outsidetextfont_family=<VALUE>, selector=dict(type='funnel'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- size
Code:fig.update_traces(outsidetextfont_size=<VALUE>, selector=dict(type='funnel'))
Type: number or array of numbers greater than or equal to 1
- family