Download and process land-use and agriculture emissions data from the FAOSTAT website

Daniel Busch 342fc8a31c [DATALAD] Recorded changes hai 4 semanas
.datalad bd86520a11 [DATALAD] new dataset hai 2 meses
.github b29152bc98 [DATALAD] Recorded changes hai 1 mes
changelog a6f197f5c5 changelog hai 2 meses
docs 4dfc700825 [DATALAD] Recorded changes hai 2 meses
downloaded_data cce65fbb5e [DATALAD RUNCMD] python3 scripts/download_all_domains.py hai 1 mes
extracted_data cb8acaa75b [DATALAD RUNCMD] Read data set hai 1 mes
scripts 48456318d3 [DATALAD] Recorded changes hai 1 mes
src 342fc8a31c [DATALAD] Recorded changes hai 4 semanas
stubs 4dfc700825 [DATALAD] Recorded changes hai 2 meses
tests 76faa9536d [DATALAD] Recorded changes hai 1 mes
.copier-answers.yml 4dfc700825 [DATALAD] Recorded changes hai 2 meses
.gitattributes 2c16c3fbaf [DATALAD] Recorded changes hai 1 mes
.gitignore 4dfc700825 [DATALAD] Recorded changes hai 2 meses
.pre-commit-config.yaml 72589ed42b pre commit hai 2 meses
.readthedocs.yaml 4dfc700825 [DATALAD] Recorded changes hai 2 meses
LICENCE 4dfc700825 [DATALAD] Recorded changes hai 2 meses
Makefile 05e714be73 [DATALAD] Recorded changes hai 1 mes
README.md 4dfc700825 [DATALAD] Recorded changes hai 2 meses
dodo.py 581b921da3 [DATALAD] Recorded changes hai 1 mes
poetry.lock 162b81a245 [DATALAD] Recorded changes hai 1 mes
pyproject.toml 05e714be73 [DATALAD] Recorded changes hai 1 mes
requirements.txt 162b81a245 [DATALAD] Recorded changes hai 1 mes

README.md

FAOSTAT data

Download and process FAOSTAT data

CI Coverage Docs

PyPI : PyPI PyPI install

Other info : Licence Last Commit Contributors

Full documentation can be found at: faostat-data-primap.readthedocs.io. 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:

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 for all our dependency management. To get started, you will need to make sure that poetry is installed (instructions here, 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.

For the rest of our developer docs, please see [](development-reference).