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Map Nashville neighborhoods

This time you'll read a GeoJSON file in to a GeoDataFrame to take a quick peek at where Nashville neighborhoods are.

This exercise is part of the course

Visualizing Geospatial Data in Python

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Exercise instructions

  • Import geopandas and matplotlib.pyplot using the customary aliases.
  • Read in the neighborhoods GeoJSON file to a GeoDataFrame called neighborhoods and print the first few rows with .head(). The path to this file is stored in a variable called neighborhoods_path.
  • Plot neighborhoods coloring the polygons by the name column of the GeoDataFrame and using the Dark2 color map. This time, don't include a legend.
  • Show the plot.

Hands-on interactive exercise

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

import geopandas as _____
import matplotlib.pyplot as _____

# Read in the neighborhoods geojson file
neighborhoods = gpd._____(neighborhoods_path)

# Print the first few rows of neighborhoods
print(neighborhoods.____())

# Plot the neighborhoods, color according to name and use the Dark2 colormap
neighborhoods.plot(_____ = 'name', _____ = 'Dark2')

# Show the plot.
plt.show()
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