Skip to main content

No project description provided

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 www.atlasbrasil.org.br

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](http://geopandas.org/install.html) using conda:

conda install geopandas

Then,

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geo_data_br-0.3.5.tar.gz (15.4 MB view hashes)

Uploaded source

Built Distribution

geo_data_br-0.3.5-py3-none-any.whl (5.6 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page