# FAOSTAT data Download and process FAOSTAT data [![CI](https://github.com/primap-community/FAOSTAT_data_primap/actions/workflows/ci.yaml/badge.svg?branch=main)](https://github.com/primap-community/FAOSTAT_data_primap/actions/workflows/ci.yaml) [![Coverage](https://codecov.io/gh/primap-community/FAOSTAT_data_primap/branch/main/graph/badge.svg)](https://codecov.io/gh/primap-community/FAOSTAT_data_primap) [![Docs](https://readthedocs.org/projects/faostat-data-primap/badge/?version=latest)](https://faostat-data-primap.readthedocs.io) **PyPI :** [![PyPI](https://img.shields.io/pypi/v/faostat-data-primap.svg)](https://pypi.org/project/faostat-data-primap/) [![PyPI: Supported Python versions](https://img.shields.io/pypi/pyversions/faostat-data-primap.svg)](https://pypi.org/project/faostat-data-primap/) [![PyPI install](https://github.com/primap-community/FAOSTAT_data_primap/actions/workflows/install.yaml/badge.svg?branch=main)](https://github.com/primap-community/FAOSTAT_data_primap/actions/workflows/install.yaml) **Other info :** [![Licence](https://img.shields.io/github/license/primap-community/FAOSTAT_data_primap.svg)](https://github.com/primap-community/FAOSTAT_data_primap/blob/main/LICENCE) [![Last Commit](https://img.shields.io/github/last-commit/primap-community/FAOSTAT_data_primap.svg)](https://github.com/primap-community/FAOSTAT_data_primap/commits/main) [![Contributors](https://img.shields.io/github/contributors/primap-community/FAOSTAT_data_primap.svg)](https://github.com/primap-community/FAOSTAT_data_primap/graphs/contributors) Full documentation can be found at: [faostat-data-primap.readthedocs.io](https://faostat-data-primap.readthedocs.io/en/latest/). We recommend reading the docs there because the internal documentation links don't render correctly on GitHub's viewer. ## Installation FAOSTAT data can be installed with pip, mamba or conda: ```bash pip install faostat-data-primap mamba install -c conda-forge faostat-data-primap conda install -c conda-forge faostat-data-primap ``` ### For developers For development, we rely on [poetry](https://python-poetry.org) for all our dependency management. To get started, you will need to make sure that poetry is installed ([instructions here](https://python-poetry.org/docs/#installing-with-the-official-installer), we found that pipx and pip worked better to install on a Mac). For all of work, we use our `Makefile`. You can read the instructions out and run the commands by hand if you wish, but we generally discourage this because it can be error prone. In order to create your environment, run `make virtual-environment`. If there are any issues, the messages from the `Makefile` should guide you through. If not, please raise an issue in the [issue tracker](https://github.com/primap-community/FAOSTAT_data_primap/issues). For the rest of our developer docs, please see [](development-reference).