Calculating a normalized metric
Now you are ready to divide the number of building permits issued for projects in each council district by the area of that district to get a normalized value for the permits issued. First you will verify that the districts_and_permits is still a GeoDataFrame.
यह अभ्यास पाठ्यक्रम का हिस्सा है
Visualizing Geospatial Data in Python
अभ्यास निर्देश
- Print the
type()ofdistricts_and_permits. - Add one more column to
districts_and_permits. Use a lambda expression and thepandasapply()method to divide the number of building permits issued for projects in each council district by the area of that district to get a normalized value for the permits issued. - Print the first five rows of
districts_and_permits.
इंटरैक्टिव व्यावहारिक अभ्यास
इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।
# Print the type of districts_and_permits
print(____(____))
# Create permit_density column in districts_and_permits
districts_and_permits['permit_density'] = districts_and_permits.apply(lambda row: row._____ / row._____, axis = 1)
# Print the head of districts_and_permits
print(____.____())