Paris: spatial join of districts and bike stations
Let's return to the Paris data on districts and bike stations. We will now use the spatial join operation to identify the district in which each station is located.
The districts and bike sharing stations datasets are already pre-loaded for you as the districts and stations GeoDataFrames, and GeoPandas has been imported as geopandas
This exercise is part of the course
Working with Geospatial Data in Python
Exercise instructions
- Use the
geopandas.sjoin()function to add the district name in which each station is located to thestationsdataset. Call the resultjoined. - Check the result by showing the first five rows.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Join the districts and stations datasets
joined = ____
# Inspect the first five rows of the result
print(joined.____)