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Project description

# Geo-localized data in Brazil

Python lib for easily dealing with Geo-localized Data in Brazil

We have implemented more than 200 dimensions of geolocalized data from

It contains a detailed set of demographic information such as gender, age, income, education, inequality and many other interesting things.

# Installation

## Installing the geo_data_br lib

First install [geopandas]( using conda:

conda install geopandas


pip3 install geo_data_br

# Features

## Getting data from list of points

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

# Contributing

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Files for geo-data-br, version 0.3.3
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Filename, size geo_data_br-0.3.3.tar.gz (15.4 MB) File type Source Python version None Upload date Hashes View

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