Skip to content
forked from pydata/xarray

Commit

Permalink
Whats-new for 2023.12.0 (pydata#8532)
Browse files Browse the repository at this point in the history
* Whats-new for 2023.12.0

* Update doc/whats-new.rst

Co-authored-by: Spencer Clark <[email protected]>

* Update doc/whats-new.rst

* Update whats-new.rst

---------

Co-authored-by: Spencer Clark <[email protected]>
  • Loading branch information
dcherian and spencerkclark authored Dec 8, 2023
1 parent 7c1bb8d commit 1fd5286
Showing 1 changed file with 13 additions and 5 deletions.
18 changes: 13 additions & 5 deletions doc/whats-new.rst
Original file line number Diff line number Diff line change
Expand Up @@ -15,10 +15,18 @@ What's New
np.random.seed(123456)
.. _whats-new.2023.11.1:
.. _whats-new.2023.12.0:

v2023.11.1 (unreleased)
-----------------------
v2023.12.0 (2023 Dec 08)
------------------------

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
~~~~~~~~~~~~
Expand All @@ -27,7 +35,7 @@ New Features
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
- :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
Expand All @@ -36,7 +44,7 @@ New Features
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 by setting ``mode='a-'``.
- 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`).
Expand Down

0 comments on commit 1fd5286

Please sign in to comment.