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
Questo esercizio fa parte del corso
Working with Geospatial Data in Python
Istruzioni dell'esercizio
- 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.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Join the districts and stations datasets
joined = ____
# Inspect the first five rows of the result
print(joined.____)