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

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()

Edit and Run Code