xweights 0.2.4

Python xweights contains functionsto create grid weighted area means

xweights

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

• Free software: MIT license

• Documentation: https://xweights.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

Note: Before building xweights from source, you nedd first install cartopy by using conda:

conda install -c conda-forge cartopy

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:

[e-mail]

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

0.2.0 (2022-07-11)

• rename spatial_averager

• keep geometry attributes

0.2.1 (2022-07-11)

• read and write column name to attributes

0.2.2 (2022-07-12)

• add data and tables via pip install

0.2.3 (2023-01-26)

• remove cartopy from requirements.txt

0.2.4 (2023-03-13)

• using pycordex >= 0.5.1