Plotting shapefile polygons

The next step is to show the map of polygons. We have imported matplotlib.pyplot as plt and geopandas as gpd, and a GeoDataFrame of the service districts called service_district has been pre-loaded for you.

This exercise is part of the course

Visualizing Geospatial Data in Python

View Course

Exercise instructions

First plot the service districts without additional arguments by calling .plot() on the GeoDataFrame.
Take a look at it with plt.show(). This has been done for you.
Now use the .plot() method again, but this time add column='name' to color the shapes according to their names and legend=True to see those names. Remember to show the plot.

Hands-on interactive exercise

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

# Import packages
import geopandas as gpd
import matplotlib.pyplot as plt

# Plot the Service Districts without any additional arguments
service_district.____()
plt.show()

# Plot the Service Districts, color them according to name, and show a legend
service_district.plot(____ = 'name', ____ = True)
plt.____()

Edit and Run Code