Worker Population
In this exercise you will create a map comparing worker and residential population densities in the New York Metropolitan Area. You will use geopandas, which you saw in a previous chapter. The New York metro area county geometries are in the geopandas DataFrame geo_nyma, which is displayed in the plot window. The additional demographic info is loaded in the DataFrame nyma_counties.
pandas and geopandas are loaded using the usual aliases.
Diese Übung ist Teil des Kurses
Analyzing US Census Data in Python
Anleitung zur Übung
- Merge
geo_nymawithnyma_countieson columnsstateandcounty - Calculate worker and residential densities in square kilometers as
1000**2times the worker and residential populations, divided bygeo_nyma.area - Plot the residential density by setting the
columnparameter to the appropriate column - Do the same for worker density
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Merge population data with geopandas DataFrame
geo_nyma = pd.merge(geo_nyma, ____, ____)
# Calculate population densities
geo_nyma["worker_density"] = ____
geo_nyma["residential_density"] = ____
# Compare residential and worker density plots
fig, axes = plt.subplots(ncols=2)
geo_nyma.plot(____, cmap = "YlGnBu", ax=axes[0])
geo_nyma.plot(____, cmap = "YlGnBu", ax=axes[1])
plt.show()