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Python Figure Reference: box Traces

A 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: string

    Sets 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 string

    Sets 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: number

    Sets 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 string

    Sets 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: number

    Sets 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 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='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 string

    Only 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 string

    Only 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: color

      Sets 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: color

        Sets 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.

  • 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: color

      Sets 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).

  • 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: boolean

    Determines 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 string

    Array 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 1

        Sets the marker opacity of selected points.

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

        Sets 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 0

        Sets the marker size of selected points.

  • 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 1

        Sets 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: color

        Sets 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 0

        Sets the marker size of unselected points, applied only when a selection exists.

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

    Sets 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 colors

      Sets 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 colors

      Sets 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 strings

        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(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
    • 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.

  • 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 2

    Sets 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 1

    Sets 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 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.