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Python xweights contains functionsto create grid weighted area means

Project description

xweights

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Python “xweights” contains functions to calculate grid weighted area means from predefined regions or from an user-given shapefile. This tool is a wrapper around the python package xesmf https://xesmf.readthedocs.io

Features

  • Calculate grid-weighted-means and save the output as CSV file

  • As input you can choose between files on disk and intake-esm catalogues. Xarray dataset input is under development.

  • Use all these features as an command-line tool too

Installation

You can install the package directly with pip:

pip install xweights

If you want to contribute, I recommend cloning the repository and installing the package in development mode, e.g.

git clone https://github.com/ludwiglierhammer/xweights.git
cd xweights
pip install -e .

In additon you have to install xESMF using _Conda:

conda install -c conda-forge xesmf

This will install the package but you can still edit it and you don’t need the package in your PYTHONPATH

Requirements

  • python3.6 or higher

  • numpy

  • pandas

  • geopandas

  • intake-esm

  • xarray

  • py-cordex

  • xesmf

Contact

In cases of any problems, needs or wishes do not hesitate to contact:

ludwig.lierhammer@hereon.de

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2022-03-04)

  • First release on PyPI.

0.1.1 (2022-07-01)

  • adjusted to pre-commit

  • use functions from pyhomogenize

0.1.2 (2022-07-08)

  • change pyhomogenize version requirements

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