Creating a GeoDataFrame & examining the geometry

Let's see where service districts are in Nashville. The path to the service district shapefile has been stored in the variable shapefile_path.

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Visualizing Geospatial Data in Python

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Anleitung zur Übung

Import geopandas with its common alias gpd.
Read in the service district shapefile using geopandas and look at the first 5 rows using the head() method.
Print the geometry field in the first row (rowname is '0') to see the data contained in that field. You will pass service_district.loc[0, 'geometry'] to the print() function to do this.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Import geopandas
import ____ as ____ 

# Read in the services district shapefile and look at the first few rows.
service_district = gpd.____(shapefile_path)
print(service_district.____())

# Print the contents of the service districts geometry in the first row
print(service_district.loc[0, '____'])

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