Metadata-Version: 2.1
Name: cartes
Version: 0.3
Summary: A generic toolbox for building maps in Python
Home-page: https://github.com/xoolive/cartes/
Author: Xavier Olive
Author-email: git@xoolive.org
License: MIT
Project-URL: Documentation, https://cartes-viz.github.io/
Project-URL: Code, https://github.com/xoolive/cartes/
Project-URL: Issue tracker, https://github.com/xoolive/cartes/issues/
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)
        ![License](https://img.shields.io/pypi/l/cartes.svg)\
        ![PyPI version](https://img.shields.io/pypi/v/cartes)
        [![PyPI downloads](https://img.shields.io/pypi/dm/cartes)](https://pypi.org/project/cartes)
        ![Conda version](https://img.shields.io/conda/vn/conda-forge/cartes)
        [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/cartes.svg)](https://anaconda.org/conda-forge/cartes)
        
        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:
        
        Recommended, with conda:
        ```sh 
        conda install -c conda-forge cartes
        ```
        
        or with pip:
        ```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/
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Typing :: Typed
Requires-Python: >=3.7
Description-Content-Type: text/markdown
