Python Figure Reference: contourcarpet Traces

A plotly.graph_objects.Contourcarpet trace is a graph object in the figure's data list with any of the named arguments or attributes listed below.

Plots contours on either the first carpet axis or the carpet axis with a matching `carpet` attribute. Data `z` is interpreted as matching that of the corresponding carpet axis.

  • name
    Code: fig.update_traces(name=<VALUE>, selector=dict(type='contourcarpet'))
    Type: string

    Sets the trace name. The trace name appears as the legend item and on hover.

  • visible
    Code: fig.update_traces(visible=<VALUE>, selector=dict(type='contourcarpet'))
    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='contourcarpet'))
    Type: boolean
    Default: True

    Determines whether or not an item corresponding to this trace is shown in the legend.

  • legend
    Code: fig.update_traces(legend=<VALUE>, selector=dict(type='contourcarpet'))
    Type: subplotid
    Default: legend

    Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc.

  • legendrank
    Code: fig.update_traces(legendrank=<VALUE>, selector=dict(type='contourcarpet'))
    Type: number
    Default: 1000

    Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout.

  • legendgroup
    Code: fig.update_traces(legendgroup=<VALUE>, selector=dict(type='contourcarpet'))
    Type: string
    Default: ""

    Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items.

  • legendgrouptitle
    Code: fig.update_traces(legendgrouptitle=dict(...), selector=dict(type='contourcarpet'))
    Type: dict containing one or more of the keys listed below.
    • font
      Code: fig.update_traces(legendgrouptitle_font=dict(...), selector=dict(type='contourcarpet'))
      Type: dict containing one or more of the keys listed below.

      Sets this legend group's title font.

      • color
        Code: fig.update_traces(legendgrouptitle_font_color=<VALUE>, selector=dict(type='contourcarpet'))
        Type: color
      • family
        Code: fig.update_traces(legendgrouptitle_font_family=<VALUE>, selector=dict(type='contourcarpet'))
        Type: string

        HTML 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(legendgrouptitle_font_size=<VALUE>, selector=dict(type='contourcarpet'))
        Type: number greater than or equal to 1
    • text
      Code: fig.update_traces(legendgrouptitle_text=<VALUE>, selector=dict(type='contourcarpet'))
      Type: string
      Default: ""

      Sets the title of the legend group.

  • legendwidth
    Code: fig.update_traces(legendwidth=<VALUE>, selector=dict(type='contourcarpet'))
    Type: number greater than or equal to 0

    Sets the width (in px or fraction) of the legend for this trace.

  • opacity
    Code: fig.update_traces(opacity=<VALUE>, selector=dict(type='contourcarpet'))
    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='contourcarpet'))
    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.

  • z
    Code: fig.update_traces(z=<VALUE>, selector=dict(type='contourcarpet'))
    Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.

    Sets the z data.

  • a
    Code: fig.update_traces(a=<VALUE>, selector=dict(type='contourcarpet'))
    Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.

    Sets the x coordinates.

  • atype
    Code: fig.update_traces(atype=<VALUE>, selector=dict(type='contourcarpet'))
    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).

  • a0
    Code: fig.update_traces(a0=<VALUE>, selector=dict(type='contourcarpet'))
    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.

  • da
    Code: fig.update_traces(da=<VALUE>, selector=dict(type='contourcarpet'))
    Type: number
    Default: 1

    Sets the x coordinate step. See `x0` for more info.

  • b
    Code: fig.update_traces(b=<VALUE>, selector=dict(type='contourcarpet'))
    Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.

    Sets the y coordinates.

  • btype
    Code: fig.update_traces(btype=<VALUE>, selector=dict(type='contourcarpet'))
    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)

  • b0
    Code: fig.update_traces(b0=<VALUE>, selector=dict(type='contourcarpet'))
    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.

  • db
    Code: fig.update_traces(db=<VALUE>, selector=dict(type='contourcarpet'))
    Type: number
    Default: 1

    Sets the y coordinate step. See `y0` for more info.

  • text
    Code: fig.update_traces(text=<VALUE>, selector=dict(type='contourcarpet'))
    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='contourcarpet'))
    Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.

    Same as `text`.

  • meta
    Code: fig.update_traces(meta=<VALUE>, selector=dict(type='contourcarpet'))
    Type: number or categorical coordinate string

    Assigns 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='contourcarpet'))
    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='contourcarpet'))
    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='contourcarpet'))
    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='contourcarpet'))
    Type: subplotid

    Sets 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.

  • line
    Code: fig.update_traces(line=dict(...), selector=dict(type='contourcarpet'))
    Type: dict containing one or more of the keys listed below.
    • color
      Code: fig.update_traces(line_color=<VALUE>, selector=dict(type='contourcarpet'))
      Type: color

      Sets the color of the contour level. Has no effect if `contours.coloring` is set to "lines".

    • dash
      Code: fig.update_traces(line_dash=<VALUE>, selector=dict(type='contourcarpet'))
      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='contourcarpet'))
      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.

    • width
      Code: fig.update_traces(line_width=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number greater than or equal to 0

      Sets the contour line width in (in px) Defaults to "0.5" when `contours.type` is "levels". Defaults to "2" when `contour.type` is "constraint".

  • colorbar
    Code: fig.update_traces(colorbar=dict(...), selector=dict(type='contourcarpet'))
    Type: dict containing one or more of the keys listed below.
    • bgcolor
      Code: fig.update_traces(colorbar_bgcolor=<VALUE>, selector=dict(type='contourcarpet'))
      Type: color
      Default: "rgba(0,0,0,0)"

      Sets the color of padded area.

    • bordercolor
      Code: fig.update_traces(colorbar_bordercolor=<VALUE>, selector=dict(type='contourcarpet'))
      Type: color
      Default: "#444"

      Sets the axis line color.

    • borderwidth
      Code: fig.update_traces(colorbar_borderwidth=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number greater than or equal to 0
      Default: 0

      Sets the width (in px) or the border enclosing this color bar.

    • dtick
      Code: fig.update_traces(colorbar_dtick=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number or categorical coordinate string

      Sets 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"

    • exponentformat
      Code: fig.update_traces(colorbar_exponentformat=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • labelalias
      Code: fig.update_traces(colorbar_labelalias=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number or categorical coordinate string

      Replacement text for specific tick or hover labels. For example using {US: 'USA', CA: 'Canada'} changes US to USA and CA to Canada. The labels we would have shown must match the keys exactly, after adding any tickprefix or ticksuffix. For negative numbers the minus sign symbol used (U+2212) is wider than the regular ascii dash. That means you need to use −1 instead of -1. labelalias can be used with any axis type, and both keys (if needed) and values (if desired) can include html-like tags or MathJax.

    • len
      Code: fig.update_traces(colorbar_len=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • lenmode
      Code: fig.update_traces(colorbar_lenmode=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • minexponent
      Code: fig.update_traces(colorbar_minexponent=<VALUE>, selector=dict(type='contourcarpet'))
      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".

    • nticks
      Code: fig.update_traces(colorbar_nticks=<VALUE>, selector=dict(type='contourcarpet'))
      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".

    • orientation
      Code: fig.update_traces(colorbar_orientation=<VALUE>, selector=dict(type='contourcarpet'))
      Type: enumerated , one of ( "h" | "v" )
      Default: "v"

      Sets the orientation of the colorbar.

    • outlinecolor
      Code: fig.update_traces(colorbar_outlinecolor=<VALUE>, selector=dict(type='contourcarpet'))
      Type: color
      Default: "#444"

      Sets the axis line color.

    • outlinewidth
      Code: fig.update_traces(colorbar_outlinewidth=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number greater than or equal to 0
      Default: 1

      Sets the width (in px) of the axis line.

    • separatethousands
      Code: fig.update_traces(colorbar_separatethousands=<VALUE>, selector=dict(type='contourcarpet'))
      Type: boolean

      If "True", even 4-digit integers are separated

    • showexponent
      Code: fig.update_traces(colorbar_showexponent=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • showticklabels
      Code: fig.update_traces(colorbar_showticklabels=<VALUE>, selector=dict(type='contourcarpet'))
      Type: boolean
      Default: True

      Determines whether or not the tick labels are drawn.

    • showtickprefix
      Code: fig.update_traces(colorbar_showtickprefix=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • showticksuffix
      Code: fig.update_traces(colorbar_showticksuffix=<VALUE>, selector=dict(type='contourcarpet'))
      Type: enumerated , one of ( "all" | "first" | "last" | "none" )
      Default: "all"

      Same as `showtickprefix` but for tick suffixes.

    • thickness
      Code: fig.update_traces(colorbar_thickness=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • thicknessmode
      Code: fig.update_traces(colorbar_thicknessmode=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • tick0
      Code: fig.update_traces(colorbar_tick0=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number or categorical coordinate string

      Sets 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.

    • tickangle
      Code: fig.update_traces(colorbar_tickangle=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • tickcolor
      Code: fig.update_traces(colorbar_tickcolor=<VALUE>, selector=dict(type='contourcarpet'))
      Type: color
      Default: "#444"

      Sets the tick color.

    • tickfont
      Code: fig.update_traces(colorbar_tickfont=dict(...), selector=dict(type='contourcarpet'))
      Type: dict containing one or more of the keys listed below.

      Sets the color bar's tick label font

      • color
        Code: fig.update_traces(colorbar_tickfont_color=<VALUE>, selector=dict(type='contourcarpet'))
        Type: color
      • family
        Code: fig.update_traces(colorbar_tickfont_family=<VALUE>, selector=dict(type='contourcarpet'))
        Type: string

        HTML 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='contourcarpet'))
        Type: number greater than or equal to 1
    • tickformat
      Code: fig.update_traces(colorbar_tickformat=<VALUE>, selector=dict(type='contourcarpet'))
      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-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time-format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{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='contourcarpet'))
      Type: list of dict where each dict has one or more of the keys listed below.
      • dtickrange
        Parent: data[type=contourcarpet].colorbar.tickformatstops[]
        Type: list

        range ["min", "max"], where "min", "max" - dtick values which describe some zoom level, it is possible to omit "min" or "max" value by passing "null"

      • enabled
        Parent: data[type=contourcarpet].colorbar.tickformatstops[]
        Type: boolean
        Default: True

        Determines whether or not this stop is used. If `False`, this stop is ignored even within its `dtickrange`.

      • name
        Parent: data[type=contourcarpet].colorbar.tickformatstops[]
        Type: string

        When 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=contourcarpet].colorbar.tickformatstops[]
        Type: string

        Used 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`.

      • value
        Parent: data[type=contourcarpet].colorbar.tickformatstops[]
        Type: string
        Default: ""

        string - dtickformat for described zoom level, the same as "tickformat"

    • ticklabeloverflow
      Code: fig.update_traces(colorbar_ticklabeloverflow=<VALUE>, selector=dict(type='contourcarpet'))
      Type: enumerated , one of ( "allow" | "hide past div" | "hide past domain" )

      Determines how we handle tick labels that would overflow either the graph div or the domain of the axis. The default value for inside tick labels is "hide past domain". In other cases the default is "hide past div".

    • ticklabelposition
      Code: fig.update_traces(colorbar_ticklabelposition=<VALUE>, selector=dict(type='contourcarpet'))
      Type: enumerated , one of ( "outside" | "inside" | "outside top" | "inside top" | "outside left" | "inside left" | "outside right" | "inside right" | "outside bottom" | "inside bottom" )
      Default: "outside"

      Determines where tick labels are drawn relative to the ticks. Left and right options are used when `orientation` is "h", top and bottom when `orientation` is "v".

    • ticklabelstep
      Code: fig.update_traces(colorbar_ticklabelstep=<VALUE>, selector=dict(type='contourcarpet'))
      Type: integer greater than or equal to 1
      Default: 1

      Sets the spacing between tick labels as compared to the spacing between ticks. A value of 1 (default) means each tick gets a label. A value of 2 means shows every 2nd label. A larger value n means only every nth tick is labeled. `tick0` determines which labels are shown. Not implemented for axes with `type` "log" or "multicategory", or when `tickmode` is "array".

    • ticklen
      Code: fig.update_traces(colorbar_ticklen=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number greater than or equal to 0
      Default: 5

      Sets the tick length (in px).

    • tickmode
      Code: fig.update_traces(colorbar_tickmode=<VALUE>, selector=dict(type='contourcarpet'))
      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).

    • tickprefix
      Code: fig.update_traces(colorbar_tickprefix=<VALUE>, selector=dict(type='contourcarpet'))
      Type: string
      Default: ""

      Sets a tick label prefix.

    • ticks
      Code: fig.update_traces(colorbar_ticks=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • ticksuffix
      Code: fig.update_traces(colorbar_ticksuffix=<VALUE>, selector=dict(type='contourcarpet'))
      Type: string
      Default: ""

      Sets a tick label suffix.

    • ticktext
      Code: fig.update_traces(colorbar_ticktext=<VALUE>, selector=dict(type='contourcarpet'))
      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`.

    • tickvals
      Code: fig.update_traces(colorbar_tickvals=<VALUE>, selector=dict(type='contourcarpet'))
      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`.

    • tickwidth
      Code: fig.update_traces(colorbar_tickwidth=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number greater than or equal to 0
      Default: 1

      Sets the tick width (in px).

    • title
      Code: fig.update_traces(colorbar_title=dict(...), selector=dict(type='contourcarpet'))
      Type: dict containing one or more of the keys listed below.
      • font
        Code: fig.update_traces(colorbar_title_font=dict(...), selector=dict(type='contourcarpet'))
        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.

        • color
          Code: fig.update_traces(colorbar_title_font_color=<VALUE>, selector=dict(type='contourcarpet'))
          Type: color
        • family
          Code: fig.update_traces(colorbar_title_font_family=<VALUE>, selector=dict(type='contourcarpet'))
          Type: string

          HTML 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='contourcarpet'))
          Type: number greater than or equal to 1
      • side
        Code: fig.update_traces(colorbar_title_side=<VALUE>, selector=dict(type='contourcarpet'))
        Type: enumerated , one of ( "right" | "top" | "bottom" )

        Determines the location of color bar's title with respect to the color bar. Defaults to "top" when `orientation` if "v" and defaults to "right" when `orientation` if "h". Note that the title's location used to be set by the now deprecated `titleside` attribute.

      • text
        Code: fig.update_traces(colorbar_title_text=<VALUE>, selector=dict(type='contourcarpet'))
        Type: string

        Sets 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.

    • x
      Code: fig.update_traces(colorbar_x=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number

      Sets the x position with respect to `xref` of the color bar (in plot fraction). When `xref` is "paper", defaults to 1.02 when `orientation` is "v" and 0.5 when `orientation` is "h". When `xref` is "container", defaults to "1" when `orientation` is "v" and 0.5 when `orientation` is "h". Must be between "0" and "1" if `xref` is "container" and between "-2" and "3" if `xref` is "paper".

    • xanchor
      Code: fig.update_traces(colorbar_xanchor=<VALUE>, selector=dict(type='contourcarpet'))
      Type: enumerated , one of ( "left" | "center" | "right" )

      Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar. Defaults to "left" when `orientation` is "v" and "center" when `orientation` is "h".

    • xpad
      Code: fig.update_traces(colorbar_xpad=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number greater than or equal to 0
      Default: 10

      Sets the amount of padding (in px) along the x direction.

    • xref
      Code: fig.update_traces(colorbar_xref=<VALUE>, selector=dict(type='contourcarpet'))
      Type: enumerated , one of ( "container" | "paper" )
      Default: "paper"

      Sets the container `x` refers to. "container" spans the entire `width` of the plot. "paper" refers to the width of the plotting area only.

    • y
      Code: fig.update_traces(colorbar_y=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number

      Sets the y position with respect to `yref` of the color bar (in plot fraction). When `yref` is "paper", defaults to 0.5 when `orientation` is "v" and 1.02 when `orientation` is "h". When `yref` is "container", defaults to 0.5 when `orientation` is "v" and 1 when `orientation` is "h". Must be between "0" and "1" if `yref` is "container" and between "-2" and "3" if `yref` is "paper".

    • yanchor
      Code: fig.update_traces(colorbar_yanchor=<VALUE>, selector=dict(type='contourcarpet'))
      Type: enumerated , one of ( "top" | "middle" | "bottom" )

      Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar. Defaults to "middle" when `orientation` is "v" and "bottom" when `orientation` is "h".

    • ypad
      Code: fig.update_traces(colorbar_ypad=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number greater than or equal to 0
      Default: 10

      Sets the amount of padding (in px) along the y direction.

    • yref
      Code: fig.update_traces(colorbar_yref=<VALUE>, selector=dict(type='contourcarpet'))
      Type: enumerated , one of ( "container" | "paper" )
      Default: "paper"

      Sets the container `y` refers to. "container" spans the entire `height` of the plot. "paper" refers to the height of the plotting area only.

  • autocolorscale
    Code: fig.update_traces(autocolorscale=<VALUE>, selector=dict(type='contourcarpet'))
    Type: boolean

    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='contourcarpet'))
    Type: colorscale

    Sets 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: Blackbody,Bluered,Blues,Cividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portland,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd.

  • showscale
    Code: fig.update_traces(showscale=<VALUE>, selector=dict(type='contourcarpet'))
    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='contourcarpet'))
    Type: boolean

    Reverses 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='contourcarpet'))
    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='contourcarpet'))
    Type: number

    Sets 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='contourcarpet'))
    Type: number

    Sets 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='contourcarpet'))
    Type: number

    Sets 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='contourcarpet'))
    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`.

  • carpet
    Code: fig.update_traces(carpet=<VALUE>, selector=dict(type='contourcarpet'))
    Type: string

    The `carpet` of the carpet axes on which this contour trace lies

  • contours
    Code: fig.update_traces(contours=dict(...), selector=dict(type='contourcarpet'))
    Type: dict containing one or more of the keys listed below.
    • coloring
      Code: fig.update_traces(contours_coloring=<VALUE>, selector=dict(type='contourcarpet'))
      Type: enumerated , one of ( "fill" | "lines" | "none" )
      Default: "fill"

      Determines the coloring method showing the contour values. If "fill", coloring is done evenly between each contour level If "lines", coloring is done on the contour lines. If "none", no coloring is applied on this trace.

    • end
      Code: fig.update_traces(contours_end=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number

      Sets the end contour level value. Must be more than `contours.start`

    • labelfont
      Code: fig.update_traces(contours_labelfont=dict(...), selector=dict(type='contourcarpet'))
      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`.

      • color
        Code: fig.update_traces(contours_labelfont_color=<VALUE>, selector=dict(type='contourcarpet'))
        Type: color
      • family
        Code: fig.update_traces(contours_labelfont_family=<VALUE>, selector=dict(type='contourcarpet'))
        Type: string

        HTML 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='contourcarpet'))
        Type: number greater than or equal to 1
    • labelformat
      Code: fig.update_traces(contours_labelformat=<VALUE>, selector=dict(type='contourcarpet'))
      Type: string
      Default: ""

      Sets the contour label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format.

    • operation
      Code: fig.update_traces(contours_operation=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • showlabels
      Code: fig.update_traces(contours_showlabels=<VALUE>, selector=dict(type='contourcarpet'))
      Type: boolean

      Determines whether to label the contour lines with their values.

    • showlines
      Code: fig.update_traces(contours_showlines=<VALUE>, selector=dict(type='contourcarpet'))
      Type: boolean
      Default: True

      Determines whether or not the contour lines are drawn. Has an effect only if `contours.coloring` is set to "fill".

    • size
      Code: fig.update_traces(contours_size=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number greater than or equal to 0

      Sets the step between each contour level. Must be positive.

    • start
      Code: fig.update_traces(contours_start=<VALUE>, selector=dict(type='contourcarpet'))
      Type: number

      Sets the starting contour level value. Must be less than `contours.end`

    • type
      Code: fig.update_traces(contours_type=<VALUE>, selector=dict(type='contourcarpet'))
      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.

    • value
      Code: fig.update_traces(contours_value=<VALUE>, selector=dict(type='contourcarpet'))
      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.

  • fillcolor
    Code: fig.update_traces(fillcolor=<VALUE>, selector=dict(type='contourcarpet'))
    Type: color

    Sets 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.

  • ncontours
    Code: fig.update_traces(ncontours=<VALUE>, selector=dict(type='contourcarpet'))
    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='contourcarpet'))
    Type: boolean

    Transposes the z data.

  • uirevision
    Code: fig.update_traces(uirevision=<VALUE>, selector=dict(type='contourcarpet'))
    Type: number or categorical coordinate string

    Controls 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.