PlotlyWidget.add_choroplethmapbox

PlotlyWidget.add_choroplethmapbox(autocolorscale=None, below=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, featureidkey=None, geojson=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legendgroup=None, locations=None, locationssrc=None, marker=None, meta=None, metasrc=None, name=None, reversescale=None, selected=None, selectedpoints=None, showlegend=None, showscale=None, stream=None, subplot=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, visible=None, z=None, zauto=None, zmax=None, zmid=None, zmin=None, zsrc=None, row=None, col=None, **kwargs)

Add a new Choroplethmapbox trace

GeoJSON features to be filled are set in geojson The data that describes the choropleth value-to-color mapping is set in locations and z.

Parameters

  • autocolorscale – Determines whether the colorscale is a default palette (autocolorscale: true) or the palette determined by colorscale. In case colorscale is unspecified or autocolorscale is true, the default palette will be chosen according to whether numbers in the color array are all positive, all negative or mixed.

  • below – Determines if the choropleth polygons will be inserted before the layer with the specified ID. By default, choroplethmapbox traces are placed above the water layers. If set to ‘’, the layer will be inserted above every existing layer.

  • coloraxis – Sets a reference to a shared color axis. References to these shared color axes are “coloraxis”, “coloraxis2”, “coloraxis3”, etc. Settings for these shared color axes are set in the layout, under layout.coloraxis, layout.coloraxis2, etc. Note that multiple color scales can be linked to the same color axis.

  • colorbar – plotly.graph_objects.choroplethmapbox.ColorBar instance or dict with compatible properties

  • colorscale – Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, [[0, ‘rgb(0,0,255)’], [1, ‘rgb(255,0,0)’]]. To control the bounds of the colorscale in color space, use`zmin` and zmax. Alternatively, colorscale may be a palette name string of the following list: Greys,YlGnBu,Greens,YlOrR d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H ot,Blackbody,Earth,Electric,Viridis,Cividis.

  • 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 .

  • featureidkey – Sets the key in GeoJSON features which is used as id to match the items included in the locations array. Support nested property, for example “properties.name”.

  • geojson – Sets the GeoJSON data associated with this trace. It can be set as a valid GeoJSON object or as a URL string. Note that we only accept GeoJSONs of type “FeatureCollection” or “Feature” with geometries of type “Polygon” or “MultiPolygon”.

  • 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.choroplethmapbox.Hoverlabe l 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. variable properties 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.

  • locations – Sets which features found in “geojson” to plot using their feature id field.

  • locationssrc – Sets the source reference on Chart Studio Cloud for locations .

  • marker – plotly.graph_objects.choroplethmapbox.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.

  • reversescale – Reverses the color mapping if true. If true, zmin will correspond to the last color in the array and zmax will correspond to the first color.

  • selected – plotly.graph_objects.choroplethmapbox.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.

  • showscale – Determines whether or not a colorbar is displayed for this trace.

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

  • subplot – Sets a reference between this trace’s data coordinates and a mapbox subplot. If “mapbox” (the default value), the data refer to layout.mapbox. If “mapbox2”, the data refer to layout.mapbox2, and so on.

  • text – Sets the text elements associated with each location.

  • 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.choroplethmapbox.Unselecte d 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).

  • z – Sets the color values.

  • zauto – Determines whether or not the color domain is computed with respect to the input data (here in z) or the bounds set in zmin and zmax Defaults to false when zmin and zmax are set by the user.

  • zmax – Sets the upper bound of the color domain. Value should have the same units as in z and if set, zmin must be set as well.

  • zmid – Sets the mid-point of the color domain by scaling zmin and/or zmax to be equidistant to this point. Value should have the same units as in z. Has no effect when zauto is false.

  • zmin – Sets the lower bound of the color domain. Value should have the same units as in z and if set, zmax must be set as well.

  • zsrc – Sets the source reference on Chart Studio Cloud for z .

  • 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_choropleth PlotlyWidget.add_class