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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for geo_data_br-0.3.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0786ba4e2c9e9fffaf8c21ea28ff97db5215cefc5c90d0dc23f25e7aca1dbf3a |
|
MD5 | ada48a6f3a648fbede9dd14c7b511bef |
|
BLAKE2b-256 | 6aef1a4b225470076c61771831b238e60a8daa429a236af4a6fe3677f8c92e92 |