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
Exercise instructions
- Import
geopandas
with its common aliasgpd
. - Read in the service district shapefile using
geopandas
and look at the first 5 rows using thehead()
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 theprint()
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, '____'])