PlotlyWidget.add_pie

PlotlyWidget.add_pie(automargin=None, customdata=None, customdatasrc=None, direction=None, dlabel=None, domain=None, hole=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextfont=None, insidetextorientation=None, label0=None, labels=None, labelssrc=None, legendgroup=None, marker=None, meta=None, metasrc=None, name=None, opacity=None, outsidetextfont=None, pull=None, pullsrc=None, rotation=None, scalegroup=None, showlegend=None, sort=None, stream=None, text=None, textfont=None, textinfo=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, title=None, titlefont=None, titleposition=None, uid=None, uirevision=None, values=None, valuessrc=None, visible=None, row=None, col=None, **kwargs)

Add a new Pie trace

A data visualized by the sectors of the pie is set in values. The sector labels are set in labels. The sector colors are set in marker.colors

Parameters

  • automargin – Determines whether outside text labels can push the margins.

  • 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 .

  • direction – Specifies the direction at which succeeding sectors follow one another.

  • dlabel – Sets the label step. See label0 for more info.

  • domain – plotly.graph_objects.pie.Domain instance or dict with compatible properties

  • hole – Sets the fraction of the radius to cut out of the pie. Use this to make a donut chart.

  • 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.pie.Hoverlabel instance or dict with compatible properties

  • 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. variables label, color, value, percent and text. 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 – Sets hover text elements associated with each sector. If a single string, the same string appears for all data points. If an array of string, the items are mapped in order of this trace’s sectors. To be seen, trace hoverinfo must contain a “text” flag.

  • 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 .

  • insidetextfont – Sets the font used for textinfo lying inside the sector.

  • insidetextorientation – Controls the orientation of the text inside chart sectors. When set to “auto”, text may be oriented in any direction in order to be as big as possible in the middle of a sector. The “horizontal” option orients text to be parallel with the bottom of the chart, and may make text smaller in order to achieve that goal. The “radial” option orients text along the radius of the sector. The “tangential” option orients text perpendicular to the radius of the sector.

  • label0 – Alternate to labels. Builds a numeric set of labels. Use with dlabel where label0 is the starting label and dlabel the step.

  • labels – Sets the sector labels. If labels entries are duplicated, we sum associated values or simply count occurrences if values is not provided. For other array attributes (including color) we use the first non-empty entry among all occurrences of the label.

  • labelssrc – Sets the source reference on Chart Studio Cloud for labels .

  • 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.

  • marker – plotly.graph_objects.pie.Marker 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.

  • opacity – Sets the opacity of the trace.

  • outsidetextfont – Sets the font used for textinfo lying outside the sector.

  • pull – Sets the fraction of larger radius to pull the sectors out from the center. This can be a constant to pull all slices apart from each other equally or an array to highlight one or more slices.

  • pullsrc – Sets the source reference on Chart Studio Cloud for pull .

  • rotation – Instead of the first slice starting at 12 o’clock, rotate to some other angle.

  • scalegroup – If there are multiple pie charts that should be sized according to their totals, link them by providing a non-empty group id here shared by every trace in the same group.

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

  • sort – Determines whether or not the sectors are reordered from largest to smallest.

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

  • text – Sets text elements associated with each sector. If trace textinfo contains a “text” flag, these elements will be seen on the chart. If trace hoverinfo contains a “text” flag and “hovertext” is not set, these elements will be seen in the hover labels.

  • textfont – Sets the font used for textinfo.

  • textinfo – Determines which trace information appear on the graph.

  • textposition – Specifies the location of the textinfo.

  • textpositionsrc – Sets the source reference on Chart Studio Cloud for textposition .

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

  • texttemplate – Template string used for rendering the information text that appear on points. Note that this will override textinfo. 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. Every attributes that can be specified per-point (the ones that are arrayOk: true) are available. variables label, color, value, percent and text.

  • texttemplatesrc – Sets the source reference on Chart Studio Cloud for texttemplate .

  • title – plotly.graph_objects.pie.Title instance or dict with compatible properties

  • titlefont – Deprecated: Please use pie.title.font instead. Sets the font used for title. Note that the title’s font used to be set by the now deprecated titlefont attribute.

  • titleposition – Deprecated: Please use pie.title.position instead. Specifies the location of the title. Note that the title’s position used to be set by the now deprecated titleposition attribute.

  • 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.

  • values – Sets the values of the sectors. If omitted, we count occurrences of each label.

  • valuessrc – Sets the source reference on Chart Studio Cloud for values .

  • 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).

  • 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).

Returns

Return type

FigureWidget

PlotlyWidget.add_parcoords PlotlyWidget.add_pointcloud