Python Figure Reference: violin Traces

A 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: string

    Sets the trace name. The trace name appears 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.

  • legend
    Code: fig.update_traces(legend=<VALUE>, selector=dict(type='violin'))
    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='violin'))
    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='violin'))
    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='violin'))
    Type: dict containing one or more of the keys listed below.
    • font
      Code: fig.update_traces(legendgrouptitle_font=dict(...), selector=dict(type='violin'))
      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='violin'))
        Type: color
      • family
        Code: fig.update_traces(legendgrouptitle_font_family=<VALUE>, selector=dict(type='violin'))
        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='violin'))
        Type: number greater than or equal to 1
    • text
      Code: fig.update_traces(legendgrouptitle_text=<VALUE>, selector=dict(type='violin'))
      Type: string
      Default: ""

      Sets the title of the legend group.

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

  • 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 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.

  • 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}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#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/tree/v2.2.3#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>`.

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

    Sets the hover text formatting rulefor `x` 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"By default the values are formatted using `xaxis.hoverformat`.

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

    Sets the hover text formatting rulefor `y` 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"By default the values are formatted using `yaxis.hoverformat`.

  • meta
    Code: fig.update_traces(meta=<VALUE>, selector=dict(type='violin'))
    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='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.
    • angle
      Code: fig.update_traces(marker_angle=<VALUE>, selector=dict(type='violin'))
      Type: angle
      Default: 0

      Sets the marker angle in respect to `angleref`.

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

      Sets the marker color. 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 the marker.line color. 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.

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

        Sets the border line width (in px) of the outlier sample points.

      • 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.

    • 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.

    • 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.

    • 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).

    • 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" | "53" | "53" | "arrow" | "153" | "153" | "arrow-open" | "54" | "54" | "arrow-wide" | "154" | "154" | "arrow-wide-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.

  • 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: color

      Sets 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).

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

      Sets 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: color

        Sets 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 0

        Sets the inner box plot bounding line width.

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

      Determines 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.

  • quartilemethod
    Code: fig.update_traces(quartilemethod=<VALUE>, selector=dict(type='violin'))
    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://jse.amstat.org/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='violin'))
    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='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.
      • color
        Code: fig.update_traces(selected_marker_color=<VALUE>, selector=dict(type='violin'))
        Type: color

        Sets the marker color of selected points.

      • opacity
        Code: fig.update_traces(selected_marker_opacity=<VALUE>, selector=dict(type='violin'))
        Type: number between or equal to 0 and 1

        Sets the marker opacity of selected points.

      • size
        Code: fig.update_traces(selected_marker_size=<VALUE>, selector=dict(type='violin'))
        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='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.
      • color
        Code: fig.update_traces(unselected_marker_color=<VALUE>, selector=dict(type='violin'))
        Type: color

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

      • opacity
        Code: fig.update_traces(unselected_marker_opacity=<VALUE>, selector=dict(type='violin'))
        Type: number between or equal to 0 and 1

        Sets the marker opacity 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 0

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

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

    Sets 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: 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='violin'))
    Type: dict containing one or more of the keys listed below.
    • 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

    • bgcolor
      Code: fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='violin'))
      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='violin'))
      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='violin'))
      Type: dict containing one or more of the keys listed below.

      Sets the font used in hover labels.

      • color
        Code: fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='violin'))
        Type: color or array of colors
      • family
        Code: fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='violin'))
        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='violin'))
        Type: number or array of numbers greater than or equal to 1
    • 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.

  • 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 2

    Sets 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 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 violins.

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

      Sets the mean line color.

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

      Determines 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.

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

      Sets the mean line width.

  • 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 making up 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=list(...), selector=dict(type='violin'))
    Type: list

    Sets 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 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.