pygaul


Namepygaul JSON
Version 0.3.2 PyPI version JSON
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home_page
SummaryEasy access to administrative boundary defined by FAO GAUL from a Python script.
upload_time2023-09-21 16:24:31
maintainer
docs_urlNone
author
requires_python>=3.7
licenseMIT
keywords skeleton python
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requirements No requirements were recorded.
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coveralls test coverage No coveralls.
            
pyGAUL
======

.. image:: https://img.shields.io/badge/License-MIT-yellow.svg?logo=opensourceinitiative&logoColor=white
    :target: LICENSE
    :alt: License: MIT

.. image:: https://img.shields.io/badge/Conventional%20Commits-1.0.0-yellow.svg?logo=git&logoColor=white
   :target: https://conventionalcommits.org
   :alt: conventional commit

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/psf/black
   :alt: Black badge

.. image:: https://img.shields.io/badge/code_style-prettier-ff69b4.svg?logo=prettier&logoColor=white
   :target: https://github.com/prettier/prettier
   :alt: prettier badge

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    :target: https://pre-commit.com/
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.. image:: https://img.shields.io/pypi/v/pygaul?color=blue&logo=pypi&logoColor=white
    :target: https://pypi.org/project/pygaul/
    :alt: PyPI version

.. image:: https://img.shields.io/conda/vn/conda-forge/pygaul?logo=condaforge&logoColor=white&color=orange
    :target: https://anaconda.org/conda-forge/pygaul
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.. image:: https://img.shields.io/github/actions/workflow/status/12rambau/pygaul/unit.yaml?logo=github&logoColor=white
    :target: https://github.com/12rambau/pygaul/actions/workflows/unit.yaml
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.. image:: https://img.shields.io/codecov/c/github/gee-community/pygaul?logo=codecov&logoColor=white
    :target: https://codecov.io/gh/gee-community/pygaul
    :alt: Test Coverage

.. image:: https://img.shields.io/readthedocs/pygaul?logo=readthedocs&logoColor=white
    :target: https://pygaul.readthedocs.io/en/latest/
    :alt: Documentation Status

Overview
--------

Easy access to administrative boundary defined by FAO GAUL 2015 from Python scripts.

This lib provides access to FAO GAUL 2015 datasets from a Python script. it is the best boundary dataset available for GEE at this point. We provide access to The current version (2015) administrative areas till level 2.

.. note::

   the dataset was generated in 2015 by the Food and Alimentation Organization (FAO). It has not been updated on Google Earthengine since then. Use with caution on disputed territories.

install it using either ``pip`` or ``conda``:

.. code-block:: console

   pip install pygaul

and then request area of interest from their name or GADM Id:

.. code-block:: python

   import pygaul

   gdf = pygaul.AdmItems(name="Singapore", content_level=1)

Credits
-------

This package was created with `Cookiecutter <https://github.com/cookiecutter/cookiecutter>`__ and the `12rambau/pypackage <https://github.com/12rambau/pypackage>`__ project template.

            

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