Python Figure Reference: choroplethmap Traces

A plotly.graph_objects.Choroplethmap trace is a graph object in the figure's data list with any of the named arguments or attributes listed below.

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`.

  • name
    Code: fig.update_traces(name=<VALUE>, selector=dict(type='choroplethmap'))
    Type: string

    Sets the trace name. The trace name appears as the legend item and on hover.

  • visible
    Code: fig.update_traces(visible=<VALUE>, selector=dict(type='choroplethmap'))
    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='choroplethmap'))
    Type: boolean

    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='choroplethmap'))
    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='choroplethmap'))
    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='choroplethmap'))
    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='choroplethmap'))
    Type: dict containing one or more of the keys listed below.
    • font
      Code: fig.update_traces(legendgrouptitle_font=dict(...), selector=dict(type='choroplethmap'))
      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='choroplethmap'))
        Type: color
      • family
        Code: fig.update_traces(legendgrouptitle_font_family=<VALUE>, selector=dict(type='choroplethmap'))
        Type: string

        HTML font family - the typeface that will be applied by the web browser. The web browser can only apply a font if it is available on the system where it runs. Provide multiple font families, separated by commas, to indicate the order in which to apply fonts if they aren't available.

      • lineposition
        Code: fig.update_traces(legendgrouptitle_font_lineposition=<VALUE>, selector=dict(type='choroplethmap'))
        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='choroplethmap'))
        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='choroplethmap'))
        Type: number greater than or equal to 1
      • style
        Code: fig.update_traces(legendgrouptitle_font_style=<VALUE>, selector=dict(type='choroplethmap'))
        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='choroplethmap'))
        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='choroplethmap'))
        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='choroplethmap'))
        Type: integer between or equal to 1 and 1000
        Default: normal

        Sets the weight (or boldness) of the font.

    • text
      Code: fig.update_traces(legendgrouptitle_text=<VALUE>, selector=dict(type='choroplethmap'))
      Type: string
      Default: ""

      Sets the title of the legend group.

  • legendwidth
    Code: fig.update_traces(legendwidth=<VALUE>, selector=dict(type='choroplethmap'))
    Type: number greater than or equal to 0

    Sets the width (in px or fraction) of the legend for this trace.

  • ids
    Code: fig.update_traces(ids=<VALUE>, selector=dict(type='choroplethmap'))
    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.

  • z
    Code: fig.update_traces(z=<VALUE>, selector=dict(type='choroplethmap'))
    Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.

    Sets the color values.

  • geojson
    Code: fig.update_traces(geojson=<VALUE>, selector=dict(type='choroplethmap'))
    Type: number or categorical coordinate string

    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".

  • featureidkey
    Code: fig.update_traces(featureidkey=<VALUE>, selector=dict(type='choroplethmap'))
    Type: string
    Default: "id"

    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".

  • locations
    Code: fig.update_traces(locations=<VALUE>, selector=dict(type='choroplethmap'))
    Type: list, numpy array, or Pandas series of numbers, strings, or datetimes.

    Sets which features found in "geojson" to plot using their feature `id` field.

  • text
    Code: fig.update_traces(text=<VALUE>, selector=dict(type='choroplethmap'))
    Type: string or array of strings
    Default: ""

    Sets the text elements associated with each location.

  • hovertext
    Code: fig.update_traces(hovertext=<VALUE>, selector=dict(type='choroplethmap'))
    Type: string or array of strings
    Default: ""

    Same as `text`.

  • hoverinfo
    Code: fig.update_traces(hoverinfo=<VALUE>, selector=dict(type='choroplethmap'))
    Type: flaglist string. Any combination of "location", "z", "text", "name" joined with a "+" OR "all" or "none" or "skip".
    Examples: "location", "z", "location+z", "location+z+text", "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='choroplethmap'))
    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. Variables that can't be found will be replaced with the specifier. For example, a template of "data: %{x}, %{y}" will result in a value of "data: 1, %{y}" if x is 1 and y is missing. Variables with an undefined value will be replaced with the fallback value. 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, all attributes that can be specified per-point (the ones that are `arrayOk: True`) are available. Finally, the template string has access to 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>`.

  • hovertemplatefallback
    Code: fig.update_traces(hovertemplatefallback=<VALUE>, selector=dict(type='choroplethmap'))
    Type: number or categorical coordinate string
    Default: -

    Fallback string that's displayed when a variable referenced in a template is missing. If the boolean value 'False' is passed in, the specifier with the missing variable will be displayed.

  • meta
    Code: fig.update_traces(meta=<VALUE>, selector=dict(type='choroplethmap'))
    Type: number or categorical coordinate string

    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.

  • customdata
    Code: fig.update_traces(customdata=<VALUE>, selector=dict(type='choroplethmap'))
    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

  • subplot
    Code: fig.update_traces(subplot=<VALUE>, selector=dict(type='choroplethmap'))
    Type: subplotid
    Default: map

    Sets a reference between this trace's data coordinates and a map subplot. If "map" (the default value), the data refer to `layout.map`. If "map2", the data refer to `layout.map2`, and so on.

  • coloraxis
    Code: fig.update_traces(coloraxis=<VALUE>, selector=dict(type='choroplethmap'))
    Type: subplotid

    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.

  • marker
    Code: fig.update_traces(marker=dict(...), selector=dict(type='choroplethmap'))
    Type: dict containing one or more of the keys listed below.
    • line
      Code: fig.update_traces(marker_line=dict(...), selector=dict(type='choroplethmap'))
      Type: dict containing one or more of the keys listed below.
      • color
        Code: fig.update_traces(marker_line_color=<VALUE>, selector=dict(type='choroplethmap'))
        Type: color or array of colors
        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.

      • width
        Code: fig.update_traces(marker_line_width=<VALUE>, selector=dict(type='choroplethmap'))
        Type: number or array of numbers greater than or equal to 0
        Default: 1

        Sets the width (in px) of the lines bounding the marker points.

    • opacity
      Code: fig.update_traces(marker_opacity=<VALUE>, selector=dict(type='choroplethmap'))
      Type: number or array of numbers between or equal to 0 and 1
      Default: 1

      Sets the opacity of the locations.

  • colorbar
    Code: fig.update_traces(colorbar=dict(...), selector=dict(type='choroplethmap'))
    Type: dict containing one or more of the keys listed below.
    • bgcolor
      Code: fig.update_traces(colorbar_bgcolor=<VALUE>, selector=dict(type='choroplethmap'))
      Type: color
      Default: "rgba(0,0,0,0)"

      Sets the color of padded area.

    • bordercolor
      Code: fig.update_traces(colorbar_bordercolor=<VALUE>, selector=dict(type='choroplethmap'))
      Type: color
      Default: "#444"

      Sets the axis line color.

    • borderwidth
      Code: fig.update_traces(colorbar_borderwidth=<VALUE>, selector=dict(type='choroplethmap'))
      Type: number greater than or equal to 0
      Default: 0

      Sets the width (in px) or the border enclosing this color bar.

    • dtick
      Code: fig.update_traces(colorbar_dtick=<VALUE>, selector=dict(type='choroplethmap'))
      Type: number or categorical coordinate string

      Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n"dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48"

    • exponentformat
      Code: fig.update_traces(colorbar_exponentformat=<VALUE>, selector=dict(type='choroplethmap'))
      Type: enumerated , one of ( "none" | "e" | "E" | "power" | "SI" | "B" | "SI extended" )
      Default: "B"

      Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B. "SI" uses prefixes from "femto" f (10^-15) to "tera" T (10^12). "SI extended" covers instead the full SI range from "quecto" q (10^-30) to "quetta" Q (10^30). If "SI" or "SI extended" is used and the exponent is beyond the above ranges, the formatting rule will automatically be switched to the power notation.

    • labelalias
      Code: fig.update_traces(colorbar_labelalias=<VALUE>, selector=dict(type='choroplethmap'))
      Type: number or categorical coordinate string

      Replacement text for specific tick or hover labels. For example using {US: 'USA', CA: 'Canada'} changes US to USA and CA to Canada. The labels we would have shown must match the keys exactly, after adding any tickprefix or ticksuffix. For negative numbers the minus sign symbol used (U+2212) is wider than the regular ascii dash. That means you need to use −1 instead of -1. labelalias can be used with any axis type, and both keys (if needed) and values (if desired) can include html-like tags or MathJax.