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Code Sample
importfoliumimportpandasaspdimportfolium.pluginsimportbrancaimportbranca.colormapascmdata= [ [33.823400, -118.12194, 99.23], [33.823500, -118.12294, 95.23], [33.823600, -118.12394, 91.23], [33.823700, -118.12494, 90.00] ] df=pd.DataFrame(data, columns=['latitude','longitude','data']) x_start= (df['latitude'].max() +df['latitude'].min()) /2y_start= (df['longitude'].max() +df['longitude'].min()) /2start_coord= (x_start, y_start) colormap=cm.LinearColormap(colors=['red','lightblue'], index=[df['data'].min(),df['data'].max()], vmin=df['data'].min(),vmax=df['data'].max()) colormap.caption='Data [units]'map=folium.Map(location=start_coord, zoom_start=12) lat=list(df.latitude) lon=list(df.longitude) dat=list(df.data) forloc, pinzip(zip(lat, lon), dat): folium.Circle( location=loc, radius=10, fill=True, color=colormap(p), fill_opacity=0.7 ).add_to(map) map.add_child(colormap) map.save('index.html')Problem description
Code above creates colored points, and displays a colormap to show what data value each color corresponds to. This is great but it would be even better if a background colour could be selected. This slightly hacky work-around does exactly what I want:
https://stackoverflow.com/a/50427006/4988601
I'd be happy to try and plumb this into folium itself if a few people show some interest in this feature (I'm fairly new to folium so any pointers on what methods/classes I'd need to poke around in would be appreciated).
Expected Output
Colormap with an optional background color rectangle to help it stand out.
Output of folium.__version__
0.10.0