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  3. Visualizing Geospatial Data in Python

Exercise

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.

Instructions

100 XP
  • 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.