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pythonchartsplotlyplotly-pythonchoropleth

How to add static labels to plotly express `choropleth_mapbox`?


With current code I get hover tooltips, however those are not visible on PNG export. I need to have static label on each polygon.

plotly choropleth_mapbox

import plotly.express as px

df = px.data.election()
geojson = px.data.election_geojson()

fig = px.choropleth_mapbox(df, geojson=geojson, color="Bergeron",
                           locations="district", featureidkey="properties.district",
                           center={"lat": 45.5517, "lon": -73.7073},
                           mapbox_style="carto-positron", zoom=9)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.show()

Solutions which I found are not working, they work only for choropleth but not for choropleth_mapbox which I want to use. List of them:

https://community.plotly.com/t/labels-inside-counties-for-a-map/13953

https://community.plotly.com/t/annotations-on-plotly-choropleth/36219

https://community.plotly.com/t/how-can-i-change-the-hover-labels-into-static-labels/4690/2


Solution

    • the obvious answer is add a Scattermapbox layer with text that you want. This is complicated by this bug. I did not find an clear replacement for carto-positron as a replacement on https://www.mapbox.com so the map style has changed
    • create an account on https://account.mapbox.com to get a token, create a base map on https://studio.mapbox.com to create a base map
    • also tried using plotly annotations. However I could not find a way of getting bounding box of map to be able to transform lat/lot co-ords onto domain co-ords (0-1)
    mapboxtoken="****"
    mapboxstyle="mapbox://styles/***"
    
    • use geopandas for simple access to centroid of geometries
    import plotly.express as px
    import plotly.graph_objects as go
    import geopandas as gpd
    
    df = px.data.election()
    geojson = px.data.election_geojson()
    gdf = (
        gpd.GeoDataFrame.from_features(geojson)
        .merge(df, on="district")
        .assign(lat=lambda d: d.geometry.centroid.y, lon=lambda d: d.geometry.centroid.x)
        .set_index("district", drop=False)
    )
    
    # for convenience of rebuilding and adding traces...
    def basemap():
        fig = px.choropleth_mapbox(
            df,
            geojson=geojson,
            color="Bergeron",
            locations="district",
            featureidkey="properties.district",
            center={"lat": 45.5517, "lon": -73.7073},
            mapbox_style=mapboxstyle,
    #         mapbox_style="carto-positron",
            zoom=9,
        )
        fig.update_layout(margin={"r": 0, "t": 0, "l": 0, "b": 0},
                          mapbox={"accesstoken":mapboxtoken}
                         )
        return fig
    
    
    

    pull it all together

    texttrace = go.Scattermapbox(
            lat=gdf.geometry.centroid.y,
            lon=gdf.geometry.centroid.x,
            text=gdf["Bergeron"].astype(str),
            textfont={"color":"white","size":20, "family":"Courier New"},
            mode="text",
            name="Bergeron"
        )
    
    basemap().add_trace(texttrace)
    

    output

    enter image description here