Python lib for easily dealing with Geo-localized Data in Brazil
We have implemented more than 200 dimensions of geolocalized data from www.atlasbrasil.org.br
It contains a detailed set of demographic information such as gender, age, income, education, inequality and many other interesting things.
First install geopandas using conda:
conda install geopandas
Then,
pip3 install geo_data_br
Given a list of latitude and longitude points we can use the lib to retrieve the corresponding data.
import geo_data_br.points
points_of_interest = [(-59.23352, -3.35030), (-60.17875, -3.27442)]
demographics_on_poi = geo_data_br.points.data_on_points(points_of_interest)
demographics_on_poi.gini
>>> 0 0.59
>>> 1 0.51
>>> Name: gini, dtype: float64
demographics_on_poi.espvida
>>> 0 72.91
>>> 1 68.70
>>> Name: espvida, dtype: float64