- update to version 0.18.0:

- This release brings a few important performance improvements, a wide range of:
 - usability upgrades, lots of bug fixes, and some new features. These include:
 - a plugin API to add backend engines, a new theme for the documentation,:
 - curve fitting methods, and several new plotting functions.:
 - Many thanks to the 38 contributors to this release: Aaron Spring, Alessandro Amici,:
 - Alex Marandon, Alistair Miles, Ana Paula Krelling, Anderson Banihirwe, Aureliana Barghini,:
 - Baudouin Raoult, Benoit Bovy, Blair Bonnett, David Trémouilles, Deepak Cherian,:
 - Gabriel Medeiros Abrahão, Giacomo Caria, Hauke Schulz, Illviljan, Mathias Hauser, Matthias Bussonnier,:
 - Mattia Almansi, Maximilian Roos, Ray Bell, Richard Kleijn, Ryan Abernathey, Sam Levang, Spencer Clark,:
 - Spencer Jones, Tammas Loughran, Tobias Kölling, Todd, Tom Nicholas, Tom White, Victor Negîrneac,:
 - Xianxiang Li, Zeb Nicholls, crusaderky, dschwoerer, johnomotani, keewis:
 - New Features:
  - apply ``combine_attrs`` on data variables and coordinate variables when concatenating
    and merging datasets and dataarrays (:pull:`4902`).
    By `Justus Magin <https://github.com/keewis>`_.
  - Add :py:meth:`Dataset.to_pandas` (:pull:`5247`)
    By `Giacomo Caria <https://github.com/gcaria>`_.
  - Add :py:meth:`DataArray.plot.surface` which wraps matplotlib's `plot_surface` to make
    surface plots (:issue:`2235` :issue:`5084` :pull:`5101`).
    By `John Omotani <https://github.com/johnomotani>`_.
  - Allow passing multiple arrays to :py:meth:`Dataset.__setitem__` (:pull:`5216`).
    By `Giacomo Caria <https://github.com/gcaria>`_.
  - Add 'cumulative' option to :py:meth:`Dataset.integrate` and
    :py:meth:`DataArray.integrate` so that result is a cumulative integral, like
    :py:func:`scipy.integrate.cumulative_trapezoidal` (:pull:`5153`).
    By `John Omotani <https://github.com/johnomotani>`_.
  - Add ``safe_chunks`` option to :py:meth:`Dataset.to_zarr` which allows overriding
    checks made to ensure Dask and Zarr chunk compatibility (:issue:`5056`).
    By `Ryan Abernathey <https://github.com/rabernat>`_

OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=48

python-xarray.spec

@@ -21,7 +21,7 @@
 # NEP 29: Numpy 1.20 dropped support for Python 3.6, python36-numpy is removed from Tumbleweed. xarray will follow on next release
 %define         skip_python36 1
 Name:           python-xarray
-Version:        0.17.0
+Version:        0.18.0
 Release:        0
 Summary:        N-D labeled arrays and datasets in Python
 License:        Apache-2.0