PlotlyWidget.add_violin

PlotlyWidget.add_violin(alignmentgroup=None, bandwidth=None, box=None, customdata=None, customdatasrc=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, jitter=None, legendgroup=None, line=None, marker=None, meanline=None, meta=None, metasrc=None, name=None, offsetgroup=None, opacity=None, orientation=None, pointpos=None, points=None, scalegroup=None, scalemode=None, selected=None, selectedpoints=None, showlegend=None, side=None, span=None, spanmode=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, visible=None, width=None, x=None, x0=None, xaxis=None, xsrc=None, y=None, y0=None, yaxis=None, ysrc=None, row=None, col=None, secondary_y=None, **kwargs)

Add a new Violin trace

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.

Parameters

  • alignmentgroup – 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.

  • bandwidth – Sets the bandwidth used to compute the kernel density estimate. By default, the bandwidth is determined by Silverman’s rule of thumb.

  • box – plotly.graph_objects.violin.Box instance or dict with compatible properties

  • customdata – 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

  • customdatasrc – Sets the source reference on Chart Studio Cloud for customdata .

  • fillcolor – Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available.

  • hoverinfo – 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.

  • hoverinfosrc – Sets the source reference on Chart Studio Cloud for hoverinfo .

  • hoverlabel – plotly.graph_objects.violin.Hoverlabel instance or dict with compatible properties

  • hoveron – Do the hover effects highlight individual violins or sample points or the kernel density estimate or any combination of them?

  • hovertemplate – 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>.

  • hovertemplatesrc – Sets the source reference on Chart Studio Cloud for hovertemplate .

  • hovertext – Same as text.

  • hovertextsrc – Sets the source reference on Chart Studio Cloud for hovertext .

  • ids – 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.

  • idssrc – Sets the source reference on Chart Studio Cloud for ids .

  • jitter – 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.

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

  • line – plotly.graph_objects.violin.Line instance or dict with compatible properties

  • marker – plotly.graph_objects.violin.Marker instance or dict with compatible properties

  • meanline – plotly.graph_objects.violin.Meanline instance or dict with compatible properties

  • meta – 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.

  • metasrc – Sets the source reference on Chart Studio Cloud for meta .

  • name – Sets the trace name. The trace name appear as the legend item and on hover. For violin traces, the name will also be used for the position coordinate, if x and x0 (y and y0 if horizontal) are missing and the position axis is categorical. Note that the trace name is also used as a default value for attribute scalegroup (please see its description for details).

  • offsetgroup – 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.

  • opacity – Sets the opacity of the trace.

  • orientation – Sets the orientation of the violin(s). If “v” (“h”), the distribution is visualized along the vertical (horizontal).

  • pointpos – 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.

  • points – 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 – 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 – Sets the metric by which the width of each violin is determined.”width” means each violin has the same (max) width*count* means the violins are scaled by the number of sample points makingup each violin.

  • selected – plotly.graph_objects.violin.Selected instance or dict with compatible properties

  • selectedpoints – 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.

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

  • side – 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 – 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 – 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.

  • stream – plotly.graph_objects.violin.Stream instance or dict with compatible properties

  • text – 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.

  • textsrc – Sets the source reference on Chart Studio Cloud for text .

  • uid – Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions.

  • uirevision – 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.

  • unselected – plotly.graph_objects.violin.Unselected instance or dict with compatible properties

  • visible – 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).

  • width – 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.

  • x – Sets the x sample data or coordinates. See overview for more info.

  • x0 – 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.

  • xaxis – 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.

  • xsrc – Sets the source reference on Chart Studio Cloud for x .

  • y – Sets the y sample data or coordinates. See overview for more info.

  • y0 – 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.

  • yaxis – 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.

  • ysrc – Sets the source reference on Chart Studio Cloud for y .

  • row ('all', int or None (default)) – Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all rows in the specified column(s).

  • col ('all', int or None (default)) – Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all columns in the specified row(s).

  • secondary_y (boolean or None (default None)) –

    If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied:

    • The figure was created using plotly.subplots.make_subplots.

    • The row and col arguments are not None

    • The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info.

Returns

Return type

FigureWidget

PlotlyWidget.add_treemap PlotlyWidget.add_vline