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

Daniel Busch 0e2b5dc24d [DATALAD] Recorded changes 1 bulan lalu
.datalad bd86520a11 [DATALAD] new dataset 2 bulan lalu
.github 9fd30878f9 mypy: request stubs, Path 1 bulan lalu
changelog 4ba7f59e4a changelog 1 bulan lalu
docs 4dfc700825 [DATALAD] Recorded changes 2 bulan lalu
downloaded_data cfce7ee641 [DATALAD RUNCMD] poetry run python3 scripts/download_all_... 1 bulan lalu
scripts 4ba7f59e4a changelog 1 bulan lalu
src 6fe3d3922d licences, mypy 1 bulan lalu
stubs 4dfc700825 [DATALAD] Recorded changes 2 bulan lalu
tests 1145a23eee rename 1 bulan lalu
.copier-answers.yml 4dfc700825 [DATALAD] Recorded changes 2 bulan lalu
.gitattributes f57806a486 [DATALAD] Recorded changes 1 bulan lalu
.gitignore 4dfc700825 [DATALAD] Recorded changes 2 bulan lalu
.pre-commit-config.yaml 72589ed42b pre commit 1 bulan lalu
.readthedocs.yaml 4dfc700825 [DATALAD] Recorded changes 2 bulan lalu
LICENCE 4dfc700825 [DATALAD] Recorded changes 2 bulan lalu
Makefile ef4ced3c58 [DATALAD] Recorded changes 1 bulan lalu
README.md 4dfc700825 [DATALAD] Recorded changes 2 bulan lalu
poetry.lock 0e2b5dc24d [DATALAD] Recorded changes 1 bulan lalu
pyproject.toml 0e2b5dc24d [DATALAD] Recorded changes 1 bulan lalu
requirements.txt 0e2b5dc24d [DATALAD] Recorded changes 1 bulan lalu

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).