Mastering Geospatial Analysis with Python

Data cleanup 

This data visualization will compare the male and female population in the Bay Area. To generate the circle visualization, we can rename and eliminate unnecessary columns using Geopandas' dataframe manipulation:

tract_points['Total Population'] = tract_points['ACS_15_5YR_S0101_with_ann_Total; Estimate; Total population']tract_points['Male Population'] = tract_points['ACS_15_5YR_S0101_with_ann_Male; Estimate; Total population']tract_points['Female Population'] = tract_points['ACS_15_5YR_S0101_with_ann_Female; Estimate; Total population']tract_points = tract_points[['Total Population',                'Male Population','Female Population',                'centroids' ]]

This code created three new columns from three existing columns, by passing the name of the ...