xweights 0.3.0

Features

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

• As input you need a dataset dictionary. Values are xarray.Datasets and keys correspondin strings.

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

• 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.

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

0.2.5 (2023-08-23)

• adding new region: counties_merged (merge counties less than 400m2)

0.2.6 (2023-08-30)

• optionally: wite variable attributes to dataframe

0.3.0 (2023-09-15)

• added new regions: IPCC WG1 Reference Regions v4 from Atlas

• xweights/_io.py is no longer available

• xweights/_domains.py is no longer available

• function spatial_averager -> spatial_averaging

• function compute_weighted_means:

  • optionally: set averager_ds to calculate a general xesmf.SpatialAverager

  • parameter shp -> gdf

  • parameter input -> dataset_dict

  • parameter dataset_dict has to be a dictionary

  • parameter outdir -> output

• function compute_weighted_means_ds: parameters are now similar to compute_weighted_means

• command-line interface is no longer available