PlotlyWidget.add_barpolar

PlotlyWidget.add_barpolar(base=None, basesrc=None, customdata=None, customdatasrc=None, dr=None, dtheta=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legendgroup=None, marker=None, meta=None, metasrc=None, name=None, offset=None, offsetsrc=None, opacity=None, r=None, r0=None, rsrc=None, selected=None, selectedpoints=None, showlegend=None, stream=None, subplot=None, text=None, textsrc=None, theta=None, theta0=None, thetasrc=None, thetaunit=None, uid=None, uirevision=None, unselected=None, visible=None, width=None, widthsrc=None, row=None, col=None, **kwargs)

Add a new Barpolar trace

The data visualized by the radial span of the bars is set in r

Parameters

  • base – Sets where the bar base is drawn (in radial axis units). In “stack” barmode, traces that set “base” will be excluded and drawn in “overlay” mode instead.

  • basesrc – Sets the source reference on Chart Studio Cloud for base .

  • 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 .

  • dr – Sets the r coordinate step.

  • dtheta – Sets the theta coordinate step. By default, the dtheta step equals the subplot’s period divided by the length of the r coordinates.

  • 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.barpolar.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. 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 .

  • 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.barpolar.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.

  • offset – Shifts the angular position where the bar is drawn (in “thetatunit” units).

  • offsetsrc – Sets the source reference on Chart Studio Cloud for offset .

  • opacity – Sets the opacity of the trace.

  • r – Sets the radial coordinates

  • r0 – Alternate to r. Builds a linear space of r coordinates. Use with dr where r0 is the starting coordinate and dr the step.

  • rsrc – Sets the source reference on Chart Studio Cloud for r .

  • selected – plotly.graph_objects.barpolar.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.

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

  • subplot – Sets a reference between this trace’s data coordinates and a polar subplot. If “polar” (the default value), the data refer to layout.polar. If “polar2”, the data refer to layout.polar2, and so on.

  • text – Sets hover text elements associated with each bar. If a single string, the same string appears over all bars. If an array of string, the items are mapped in order to the this trace’s coordinates.

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

  • theta – Sets the angular coordinates

  • theta0 – Alternate to theta. Builds a linear space of theta coordinates. Use with dtheta where theta0 is the starting coordinate and dtheta the step.

  • thetasrc – Sets the source reference on Chart Studio Cloud for theta .

  • thetaunit – Sets the unit of input “theta” values. Has an effect only when on “linear” angular axes.

  • 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.barpolar.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 bar angular width (in “thetaunit” units).

  • widthsrc – Sets the source reference on Chart Studio Cloud for width .

  • 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_bar PlotlyWidget.add_box