Python Figure Reference: box
Traces
plotly.graph_objects.Box
trace is a graph object in the figure's data
list with any of the named arguments or attributes listed below. Each box spans from quartile 1 (Q1) to quartile 3 (Q3). The second quartile (Q2, i.e. the median) is marked by a line inside the box. The fences grow outward from the boxes' edges, by default they span +/- 1.5 times the interquartile range (IQR: Q3-Q1), The sample mean and standard deviation as well as notches and the sample, outlier and suspected outliers points can be optionally added to the box plot. The values and positions corresponding to each boxes can be input using two signatures. The first signature expects users to supply the sample values in the `y` data array for vertical boxes (`x` for horizontal boxes). By supplying an `x` (`y`) array, one box per distinct `x` (`y`) value is drawn If no `x` (`y`) list is provided, a single box is drawn. In this case, the box is positioned with the trace `name` or with `x0` (`y0`) if provided. The second signature expects users to supply the boxes corresponding Q1, median and Q3 statistics in the `q1`, `median` and `q3` data arrays respectively. Other box features relying on statistics namely `lowerfence`, `upperfence`, `notchspan` can be set directly by the users. To have plotly compute them or to show sample points besides the boxes, users can set the `y` data array for vertical boxes (`x` for horizontal boxes) to a 2D array with the outer length corresponding to the number of boxes in the traces and the inner length corresponding the sample size.
- name
Code:fig.update_traces(name=<VALUE>, selector=dict(type='box'))
Type: stringSets the trace name. The trace name appears 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.
- legend
Code:fig.update_traces(legend=<VALUE>, selector=dict(type='box'))
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='box'))
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='box'))
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='box'))
Type: dict containing one or more of the keys listed below.- font
Code:fig.update_traces(legendgrouptitle_font=dict(...), selector=dict(type='box'))
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='box'))
Type: color - family
Code:fig.update_traces(legendgrouptitle_font_family=<VALUE>, selector=dict(type='box'))
Type: stringHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- lineposition
Code:fig.update_traces(legendgrouptitle_font_lineposition=<VALUE>, selector=dict(type='box'))
Type: flaglist string. Any combination of"under"
,"over"
,"through"
joined with a"+"
OR"none"
.
Examples:"under"
,"over"
,"under+over"
,"under+over+through"
,"none"
Default:"none"
Sets the kind of decoration line(s) with text, such as an "under", "over" or "through" as well as combinations e.g. "under+over", etc.
- shadow
Code:fig.update_traces(legendgrouptitle_font_shadow=<VALUE>, selector=dict(type='box'))
Type: string
Default:"none"
Sets the shape and color of the shadow behind text. "auto" places minimal shadow and applies contrast text font color. See https://developer.mozilla.org/en-US/docs/Web/CSS/text-shadow for additional options.
- size
Code:fig.update_traces(legendgrouptitle_font_size=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 1 - style
Code:fig.update_traces(legendgrouptitle_font_style=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("normal"
|"italic"
)
Default:"normal"
Sets whether a font should be styled with a normal or italic face from its family.
- textcase
Code:fig.update_traces(legendgrouptitle_font_textcase=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("normal"
|"word caps"
|"upper"
|"lower"
)
Default:"normal"
Sets capitalization of text. It can be used to make text appear in all-uppercase or all-lowercase, or with each word capitalized.
- variant
Code:fig.update_traces(legendgrouptitle_font_variant=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("normal"
|"small-caps"
|"all-small-caps"
|"all-petite-caps"
|"petite-caps"
|"unicase"
)
Default:"normal"
Sets the variant of the font.
- weight
Code:fig.update_traces(legendgrouptitle_font_weight=<VALUE>, selector=dict(type='box'))
Type: integer between or equal to 1 and 1000
Default:normal
Sets the weight (or boldness) of the font.
- color
- text
Code:fig.update_traces(legendgrouptitle_text=<VALUE>, selector=dict(type='box'))
Type: string
Default:""
Sets the title of the legend group.
- font
- legendwidth
Code:fig.update_traces(legendwidth=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0Sets the width (in px or fraction) of the legend for this trace.
- 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.
- zorder
Code:fig.update_traces(zorder=<VALUE>, selector=dict(type='box'))
Type: integer
Default:0
Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`.
- x
Code:fig.update_traces(x=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the x sample data or coordinates. See overview for more info.
- x0
Code:fig.update_traces(x0=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringSets the x coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info.
- dx
Code:fig.update_traces(dx=<VALUE>, selector=dict(type='box'))
Type: numberSets the x coordinate step for multi-box traces set using q1/median/q3.
- y
Code:fig.update_traces(y=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Sets the y sample data or coordinates. See overview for more info.
- y0
Code:fig.update_traces(y0=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringSets the y coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info.
- dy
Code:fig.update_traces(dy=<VALUE>, selector=dict(type='box'))
Type: numberSets the y coordinate step for multi-box traces set using q1/median/q3.
- width
Code:fig.update_traces(width=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0
Default:0
Sets the width of the box in data coordinate If "0" (default value) the width is automatically selected based on the positions of other box traces in the same subplot.
- text
Code:fig.update_traces(text=<VALUE>, selector=dict(type='box'))
Type: string or array of strings
Default:""
Sets the text elements associated with each sample value. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag.
- hovertext
Code:fig.update_traces(hovertext=<VALUE>, selector=dict(type='box'))
Type: string or array of strings
Default:""
Same as `text`.
- hoverinfo
Code:fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='box'))
Type: flaglist string. Any combination of"x"
,"y"
,"z"
,"text"
,"name"
joined with a"+"
OR"all"
or"none"
or"skip"
.
Examples:"x"
,"y"
,"x+y"
,"x+y+z"
,"all"
Default:"all"
Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired.
- hovertemplate
Code:fig.update_traces(hovertemplate=<VALUE>, selector=dict(type='box'))
Type: string or array of strings
Default:""
Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" 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='box'))
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='box'))
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='box'))
Type: number or categorical coordinate stringAssigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index.
- customdata
Code:fig.update_traces(customdata=<VALUE>, selector=dict(type='box'))
Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements
- xaxis
Code:fig.update_traces(xaxis=<VALUE>, selector=dict(type='box'))
Type: subplotid
Default:x
Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on.
- yaxis
Code:fig.update_traces(yaxis=<VALUE>, selector=dict(type='box'))
Type: subplotid
Default:y
Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on.
- orientation
Code:fig.update_traces(orientation=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("v"
|"h"
)Sets the orientation of the box(es). If "v" ("h"), the distribution is visualized along the vertical (horizontal).
- alignmentgroup
Code:fig.update_traces(alignmentgroup=<VALUE>, selector=dict(type='box'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently.
- offsetgroup
Code:fig.update_traces(offsetgroup=<VALUE>, selector=dict(type='box'))
Type: string
Default:""
Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up.
- xperiod
Code:fig.update_traces(xperiod=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- xperiodalignment
Code:fig.update_traces(xperiodalignment=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis.
- xperiod0
Code:fig.update_traces(xperiod0=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- yperiod
Code:fig.update_traces(yperiod=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate string
Default:0
Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer.
- yperiodalignment
Code:fig.update_traces(yperiodalignment=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("start"
|"middle"
|"end"
)
Default:"middle"
Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis.
- yperiod0
Code:fig.update_traces(yperiod0=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringOnly relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01.
- marker
Code:fig.update_traces(marker=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- angle
Code:fig.update_traces(marker_angle=<VALUE>, selector=dict(type='box'))
Type: angle
Default:0
Sets the marker angle in respect to `angleref`.
- color
Code:fig.update_traces(marker_color=<VALUE>, selector=dict(type='box'))
Type: colorSets 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='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 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='box'))
Type: colorSets the border line color of the outlier sample points. Defaults to marker.color
- outlierwidth
Code:fig.update_traces(marker_line_outlierwidth=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0
Default:1
Sets the border line width (in px) of the outlier sample points.
- 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.
- color
- 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.
- 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.
- 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).
- 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"
|"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.
- angle
- line
Code:fig.update_traces(line=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(line_color=<VALUE>, selector=dict(type='box'))
Type: colorSets the color of line bounding the box(es).
- width
Code:fig.update_traces(line_width=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0
Default:2
Sets the width (in px) of line bounding the box(es).
- color
- boxmean
Code:fig.update_traces(boxmean=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of (True
|"sd"
|False
)If "True", the mean of the box(es)' underlying distribution is drawn as a dashed line inside the box(es). If "sd" the standard deviation is also drawn. Defaults to "True" when `mean` is set. Defaults to "sd" when `sd` is set Otherwise defaults to "False".
- boxpoints
Code:fig.update_traces(boxpoints=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("all"
|"outliers"
|"suspectedoutliers"
|False
)If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4"Q1-3"Q3 or greater than 4"Q3-3"Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If "False", only the box(es) are shown with no sample points Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set. Defaults to "all" under the q1/median/q3 signature. Otherwise defaults to "outliers".
- notched
Code:fig.update_traces(notched=<VALUE>, selector=dict(type='box'))
Type: booleanDetermines whether or not notches are drawn. Notches displays a confidence interval around the median. We compute the confidence interval as median +/- 1.57 " IQR / sqrt(N), where IQR is the interquartile range and N is the sample size. If two boxes' notches do not overlap there is 95% confidence their medians differ. See https://sites.google.com/site/davidsstatistics/home/notched-box-plots for more info. Defaults to "False" unless `notchwidth` or `notchspan` is set.
- notchwidth
Code:fig.update_traces(notchwidth=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 0.5
Default:0.25
Sets the width of the notches relative to the box' width. For example, with 0, the notches are as wide as the box(es).
- showwhiskers
Code:fig.update_traces(showwhiskers=<VALUE>, selector=dict(type='box'))
Type: booleanDetermines whether or not whiskers are visible. Defaults to True for `sizemode` "quartiles", False for "sd".
- 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 upper 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.
- sdmultiple
Code:fig.update_traces(sdmultiple=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0
Default:1
Scales the box size when sizemode=sd Allowing boxes to be drawn across any stddev range For example 1-stddev, 3-stddev, 5-stddev
- 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://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='box'))
Type: number or categorical coordinate stringArray containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect.
- selected
Code:fig.update_traces(selected=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(selected_marker=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(selected_marker_color=<VALUE>, selector=dict(type='box'))
Type: colorSets the marker color of selected points.
- opacity
Code:fig.update_traces(selected_marker_opacity=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 1Sets the marker opacity of selected points.
- size
Code:fig.update_traces(selected_marker_size=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0Sets the marker size of selected points.
- color
- marker
- unselected
Code:fig.update_traces(unselected=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- marker
Code:fig.update_traces(unselected_marker=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- color
Code:fig.update_traces(unselected_marker_color=<VALUE>, selector=dict(type='box'))
Type: colorSets the marker color of unselected points, applied only when a selection exists.
- opacity
Code:fig.update_traces(unselected_marker_opacity=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 1Sets the marker opacity of unselected points, applied only when a selection exists.
- size
Code:fig.update_traces(unselected_marker_size=<VALUE>, selector=dict(type='box'))
Type: number greater than or equal to 0Sets the marker size of unselected points, applied only when a selection exists.
- color
- marker
- fillcolor
Code:fig.update_traces(fillcolor=<VALUE>, selector=dict(type='box'))
Type: colorSets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.
- hoverlabel
Code:fig.update_traces(hoverlabel=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.- 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
- bgcolor
Code:fig.update_traces(hoverlabel_bgcolor=<VALUE>, selector=dict(type='box'))
Type: color or array of colorsSets the background color of the hover labels for this trace
- bordercolor
Code:fig.update_traces(hoverlabel_bordercolor=<VALUE>, selector=dict(type='box'))
Type: color or array of colorsSets the border color of the hover labels for this trace.
- font
Code:fig.update_traces(hoverlabel_font=dict(...), selector=dict(type='box'))
Type: dict containing one or more of the keys listed below.Sets the font used in hover labels.
- color
Code:fig.update_traces(hoverlabel_font_color=<VALUE>, selector=dict(type='box'))
Type: color or array of colors - family
Code:fig.update_traces(hoverlabel_font_family=<VALUE>, selector=dict(type='box'))
Type: string or array of stringsHTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans", "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman".
- lineposition
Code:fig.update_traces(hoverlabel_font_lineposition=<VALUE>, selector=dict(type='box'))
Type: flaglist string. Any combination of"under"
,"over"
,"through"
joined with a"+"
OR"none"
.
Examples:"under"
,"over"
,"under+over"
,"under+over+through"
,"none"
Default:"none"
Sets the kind of decoration line(s) with text, such as an "under", "over" or "through" as well as combinations e.g. "under+over", etc.
- shadow
Code:fig.update_traces(hoverlabel_font_shadow=<VALUE>, selector=dict(type='box'))
Type: string or array of strings
Default:"none"
Sets the shape and color of the shadow behind text. "auto" places minimal shadow and applies contrast text font color. See https://developer.mozilla.org/en-US/docs/Web/CSS/text-shadow for additional options.
- 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 - style
Code:fig.update_traces(hoverlabel_font_style=<VALUE>, selector=dict(type='box'))
Type: enumerated or array of enumerateds , one of ("normal"
|"italic"
)
Default:"normal"
Sets whether a font should be styled with a normal or italic face from its family.
- textcase
Code:fig.update_traces(hoverlabel_font_textcase=<VALUE>, selector=dict(type='box'))
Type: enumerated or array of enumerateds , one of ("normal"
|"word caps"
|"upper"
|"lower"
)
Default:"normal"
Sets capitalization of text. It can be used to make text appear in all-uppercase or all-lowercase, or with each word capitalized.
- variant
Code:fig.update_traces(hoverlabel_font_variant=<VALUE>, selector=dict(type='box'))
Type: enumerated or array of enumerateds , one of ("normal"
|"small-caps"
|"all-small-caps"
|"all-petite-caps"
|"petite-caps"
|"unicase"
)
Default:"normal"
Sets the variant of the font.
- weight
Code:fig.update_traces(hoverlabel_font_weight=<VALUE>, selector=dict(type='box'))
Type: integer or array of integers between or equal to 1 and 1000
Default:normal
Sets the weight (or boldness) of the font.
- color
- 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.
- align
- hoveron
Code:fig.update_traces(hoveron=<VALUE>, selector=dict(type='box'))
Type: flaglist string. Any combination of"boxes"
,"points"
joined with a"+"
Examples:"boxes"
,"points"
,"boxes+points"
Default:"boxes+points"
Do the hover effects highlight individual boxes or sample points or both?
- pointpos
Code:fig.update_traces(pointpos=<VALUE>, selector=dict(type='box'))
Type: number between or equal to -2 and 2Sets the position of the sample points in relation to the box(es). If "0", the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes
- jitter
Code:fig.update_traces(jitter=<VALUE>, selector=dict(type='box'))
Type: number between or equal to 0 and 1Sets the amount of jitter in the sample points drawn. If "0", the sample points align along the distribution axis. If "1", the sample points are drawn in a random jitter of width equal to the width of the box(es).
- sizemode
Code:fig.update_traces(sizemode=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("quartiles"
|"sd"
)
Default:"quartiles"
Sets the upper and lower bound for the boxes quartiles means box is drawn between Q1 and Q3 SD means the box is drawn between Mean +- Standard Deviation Argument sdmultiple (default 1) to scale the box size So it could be drawn 1-stddev, 3-stddev etc
- xcalendar
Code:fig.update_traces(xcalendar=<VALUE>, selector=dict(type='box'))
Type: enumerated , one of ("chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"gregorian"
|"hebrew"
|"islamic"
|"jalali"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"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 ("chinese"
|"coptic"
|"discworld"
|"ethiopian"
|"gregorian"
|"hebrew"
|"islamic"
|"jalali"
|"julian"
|"mayan"
|"nanakshahi"
|"nepali"
|"persian"
|"taiwan"
|"thai"
|"ummalqura"
)
Default:"gregorian"
Sets the calendar system to use with `y` date data.
- uirevision
Code:fig.update_traces(uirevision=<VALUE>, selector=dict(type='box'))
Type: number or categorical coordinate stringControls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: True` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: True}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves.