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
andmatplotlib.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 calledneighborhoods_path
. - Plot
neighborhoods
coloring the polygons by thename
column of the GeoDataFrame and using theDark2
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()