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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

Diese Übung ist Teil des Kurses

Working with Geospatial Data in Python

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Anleitung zur Übung

  • Use the geopandas.sjoin() function to add the district name in which each station is located to the stations dataset. Call the result joined.
  • Check the result by showing the first five rows.

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Join the districts and stations datasets
joined = ____

# Inspect the first five rows of the result
print(joined.____)
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