A generic toolbox for building maps in Python
Project description
# Cartes
![build](https://github.com/xoolive/cartes/workflows/build/badge.svg) ![docs](https://github.com/xoolive/cartes/actions/workflows/github-pages.yml/badge.svg) [![Code Coverage](https://img.shields.io/codecov/c/github/xoolive/cartes.svg)](https://codecov.io/gh/xoolive/cartes) [![Checked with mypy](https://img.shields.io/badge/mypy-checked-blue.svg)](https://mypy.readthedocs.io/) [![Code style: black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/psf/black)
Cartes is a Python library providing facilities to produce meaningful maps.
Cartes builds on top of most common Python visualisation libraries (Matplotlib/Cartopy, Altair, ipyleaflet) and data manipulation libraries (Pandas, Geopandas) and provides mostly:
a comprehensive set of geographic projections, built on top of Cartopy and Altair/d3.js;
an interface to OpenstreetMap Nominatim and Overpass API. Result of requests are parsed in a convenient format for preprocessing and storing in standard formats;
beautiful default parameters for quality visualisations;
advanced caching facilities. Do not download twice the same content in the same day.
The cartes library is a powerful asset to publish clean, lightweight geographical datasets; and to produce decent geographical visualisations in few lines of code.
## Gallery
<a href=”https://cartes-viz.github.io/gallery/mercantour.html”><img width=”20%” src=”https://cartes-viz.github.io/_static/homepage/mercantour.png”></a> <a href=”https://cartes-viz.github.io/gallery/footprint.html”><img width=”20%” src=”https://cartes-viz.github.io/_static/homepage/antibes.png”></a> <a href=”https://cartes-viz.github.io/gallery/airports.html”><img width=”20%” src=”https://cartes-viz.github.io/_static/homepage/airports.png”></a> <a href=”https://cartes-viz.github.io/gallery/tokyo_metro.html#zoom-in-to-downtown-tokyo”><img width=”20%” src=”https://cartes-viz.github.io/_static/homepage/tokyo.png”></a>
More in the [documentation](https://cartes-viz.github.io/gallery.html)
## Installation
Latest release:
`sh pip install cartes `
Development version:
`sh git clone https://github.com/xoolive/cartes cd cartes pip install . `
## Documentation
![docs](https://github.com/xoolive/cartes/actions/workflows/github-pages.yml/badge.svg)
Documentation available at https://cartes-viz.github.io/
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