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.

This exercise is part of the course

Visualizing Geospatial Data in Python

View Course

Exercise instructions

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.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# 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, '____'])

Edit and Run Code