forked from pool/python-xarray
548007d024
- This release brings new `hypothesis <https://hypothesis.works/>`_ strategies for testing, significantly faster rolling aggregations as well as: ``ffill`` and ``bfill`` with ``numbagg``, a new :py:meth:`Dataset.eval` method, and improvements to - reading and writing Zarr arrays (including a new ``"a-"`` mode).: - Thanks to our 16 contributors: - Anderson Banihirwe, Ben Mares, Carl Andersson, Deepak Cherian, Doug Latornell, Gregorio L. Trevisan, Illviljan, Jens Hedegaard Nielsen, Justus Magin, Mathias Hauser, Max Jones, Maximilian Roos, Michael Niklas, Patrick Hoefler, Ryan Abernathey, Tom Nicholas: - New Features: - Added hypothesis strategies for generating :py:class:`xarray.Variable` objects containing arbitrary data, useful for parametrizing downstream tests. Accessible under :py:mod:`testing.strategies`, and documented in a new page on testing in the User Guide. (:issue:`6911`, :pull:`8404`) By `Tom Nicholas <https://github.com/TomNicholas>`_. - :py:meth:`rolling` uses `numbagg <https://github.com/numbagg/numbagg>`_ for most of its computations by default. Numbagg is up to 5x faster than bottleneck where parallelization is possible. Where parallelization isn't possible — for example a 1D array — it's about the same speed as bottleneck, and 2-5x faster than pandas' default functions. (:pull:`8493`). numbagg is an optional dependency, so requires installing separately. By `Maximilian Roos <https://github.com/max-sixty>`_. - Use a concise format when plotting datetime arrays. (:pull:`8449`). By `Jimmy Westling <https://github.com/illviljan>`_. - Avoid overwriting unchanged existing coordinate variables when appending with :py:meth:`Dataset.to_zarr` by setting ``mode='a-'``. By `Ryan Abernathey <https://github.com/rabernat>`_ and `Deepak Cherian <https://github.com/dcherian>`_. - :py:meth:`~xarray.DataArray.rank` now operates on dask-backed arrays, assuming the core dim has exactly one chunk. (:pull:`8475`). By `Maximilian Roos <https://github.com/max-sixty>`_. - Add a :py:meth:`Dataset.eval` method, similar to the pandas' method of the same name. (:pull:`7163`). This is currently marked as experimental and doesn't yet support the ``numexpr`` engine. - :py:meth:`Dataset.drop_vars` & :py:meth:`DataArray.drop_vars` allow passing a callable, similar to :py:meth:`Dataset.where` & :py:meth:`Dataset.sortby` & others. OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=84