GeoPandas was created to offer data to scientists who want to work with spatial data similar to pandas, and this means giving access to geospatial attribute data through data structures not available through pandas. Combine this with a set of geometric operations, data overlay capabilities, geocoding and plotting capabilities and you have an idea of this library's capabilities. In the examples mentioned as we proceed, we'll cover GeoPandas' plotting methods, explain how to access and subset spatial data, and provide a typical workflow for doing geospatial analysis with GeoPandas, where data processing is an important condition for being able to analyze and interpret the data correctly.

Let's have a look at a few code examples of GeoPandas.