xarray-einstats

The changelog for the 0.7.0 release is available at the xarray-einstats documentation.

This release adds support for any hashable as dimension name in linalg and einops modules, dimensions are no longer restricted to be strings and any dimension name valid for xarray should also be compatible here.

The changelog for the 0.6.0 release is available at the xarray-einstats documentation.

This release adds accessors as an alternative way to interface some of the functions in the einops and linalg module.

Patch for the 0.5 release in order to include the correct xarray version constraints. See the changelog on the website.

The changelog for the 0.5.0 release is available at the xarray-einstats documentation.

It is a release that adds multiple new functions to the library such as logsumexp, sort or ecdf as well as multiple bug fixes and increased and improved testing. A new tutorial page on linalg was also added.

The changelog for the 0.4.0 release is available at the xarray-einstats documentation.

The highlights of the 0.4.0 release are the addition of the multivatiate_normal distribution and the new getting started page in the docs.

The changelog for the 0.3.0 release is available at the xarray-einstats documentation. The main change is the update of the requirements to follow NEP 29

Patch release to include the license and changelog files in the pypi package, now using the PEP 621 metadata in pyproject.toml. Packaging the license is needed to add an xarray-einstats feedstock to conda forge.

Patch release to use a manifest file to include the license and changelog files in the pypi package. Packaging the license is needed to add an xarray-einstats feedstock to conda forge.

The changelog for the 0.2.0 release is available at the xarray-einstats documentation

New Contributors

• @aloctavodia made their first contribution in https://github.com/arviz-devs/xarray-einstats/pull/2

Initial release of xarray_einstats.

xarray_einstats extends array manipulation libraries to use with xarray. It starts with 4 modules:

• linalg -> extends functionality from numpy.linalg module
• stats -> extends functionality from scipy.stats module
• einops -> extends einops library, which needs to be installed
• numba -> miscellaneous extensions (numpy.histogram for now only) that need numba to accelerate and/or vectorize the functions. numba needs to be installed to use it

v0.1.1 indicates the second try at uploading to pypi