Choropleth map

Choropleth map with Geopandas and GeoPlot

Geoplot is a python library for geospatial data visualization. It works pretty well with geopandas, another library made to deal with geospatial data objects.

Geoplot has a choropleth() function that allows to build a choropleth map easily as shown in the example below.

Choropleth map of US counties with Python, Geopandas and Geoplot

Folium for google maps style choropleth maps

Folium is a wrapper of the Leaflet.js javascript library. It brings the power of javascript for data visualization, but still allows to do some data wrangling with Python. Building a choropleth with Folium is quite straightforward thanks to the choropleth() function.

Plotly for interactive choropleth maps

Plotly is a powerful library for interactive data visualization. It allows to build choropleth maps with the choropleth() function.

Try to hover the map below to see the value of each country. You can also zoom in and out, and move the map around.

Matplotlib for static choropleth maps

Matplotlib allows to build static choropleth maps with the geopandas library. The below example shows how to build a choropleth map of European countries with geopandas and matplotlib.

Combine multiple maps together, with a lollipop plot for the legend

Choropleth map of European counties with Matplotlib and Geopandas

Choropleth map with customized legend, using Matplotlib and Geopandas

Choropleth map combined with a barplot

Two choropleth maps with different granularities

Choropleth map combined with a barplot for the legend

Choropleth map combined with a histogram for the legend

Beyond the choropleth: a polygon map