forked from pool/python-xarray
Accepting request 1037318 from home:bnavigator:branches:devel:languages:python:numeric
- Update to 2022.11.0 * This release brings a number of bugfixes and documentation improvements. Both text and HTML reprs now have a new "Indexes" section, which we expect will help with development of new Index objects. This release also features more support for the Python Array API. ## New Features * Add static typing to plot accessors (GH6949, PR7052). By Michael Niklas. * Display the indexes in a new section of the text and HTML reprs (PR6795, PR7183, PR7185) By Justus Magin and Benoît Bovy. * Added methods DataArrayGroupBy.cumprod() and DatasetGroupBy.cumprod(). (PR5816) By Patrick Naylor ## Breaking changes * repr(ds) may not show the same result because it doesn’t load small, lazy data anymore. Use ds.head().load() when wanting to see just a sample of the data. (GH6722, PR7203). By Jimmy Westling. * Many arguments of plotmethods have been made keyword-only. * xarray.plot.plot module renamed to xarray.plot.dataarray_plot to prevent shadowing of the plot method. (GH6949, PR7052). By Michael Niklas. ## Deprecations * Positional arguments for all plot methods have been deprecated (GH6949, PR7052). By Michael Niklas. * xarray.plot.FacetGrid.axes has been renamed to xarray.plot.FacetGrid.axs because it’s not clear if axes refers to single or multiple Axes instances. This aligns with matplotlib.pyplot.subplots. (PR7194) By Jimmy Westling. ## Bug fixes OBS-URL: https://build.opensuse.org/request/show/1037318 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=74
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Tue Nov 22 13:28:48 UTC 2022 - Ben Greiner <code@bnavigator.de>
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- Update to 2022.11.0
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* This release brings a number of bugfixes and documentation
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improvements. Both text and HTML reprs now have a new "Indexes"
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section, which we expect will help with development of new
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Index objects. This release also features more support for the
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Python Array API.
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## New Features
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* Add static typing to plot accessors (GH6949, PR7052). By
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Michael Niklas.
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* Display the indexes in a new section of the text and HTML reprs
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(PR6795, PR7183, PR7185) By Justus Magin and Benoît Bovy.
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* Added methods DataArrayGroupBy.cumprod() and
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DatasetGroupBy.cumprod(). (PR5816) By Patrick Naylor
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## Breaking changes
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* repr(ds) may not show the same result because it doesn’t load
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small, lazy data anymore. Use ds.head().load() when wanting to
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see just a sample of the data. (GH6722, PR7203). By Jimmy
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Westling.
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* Many arguments of plotmethods have been made keyword-only.
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* xarray.plot.plot module renamed to xarray.plot.dataarray_plot
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to prevent shadowing of the plot method. (GH6949, PR7052). By
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Michael Niklas.
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## Deprecations
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* Positional arguments for all plot methods have been deprecated
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(GH6949, PR7052). By Michael Niklas.
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* xarray.plot.FacetGrid.axes has been renamed to
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xarray.plot.FacetGrid.axs because it’s not clear if axes refers
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to single or multiple Axes instances. This aligns with
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matplotlib.pyplot.subplots. (PR7194) By Jimmy Westling.
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## Bug fixes
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* Explicitly opening a file multiple times (e.g., after modifying
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it on disk) now reopens the file from scratch for h5netcdf and
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scipy netCDF backends, rather than reusing a cached version
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(GH4240, GH4862). By Stephan Hoyer.
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* Fixed bug where Dataset.coarsen.construct() would demote
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non-dimension coordinates to variables. (PR7233) By Tom
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Nicholas.
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* Raise a TypeError when trying to plot empty data (GH7156,
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PR7228). By Michael Niklas.
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## Internal Changes
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* Doctests fail on any warnings (PR7166) By Maximilian Roos.
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* Improve import time by lazy loading dask.distributed (:pull:
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7172).
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* Explicitly specify longdouble=False in cftime.date2num() when
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encoding times to preserve existing behavior and prevent future
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errors when it is eventually set to True by default in cftime
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(PR7171). By Spencer Clark.
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* Improved import time by lazily importing backend modules,
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matplotlib, dask.array and flox. (GH6726, PR7179) By Michael
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Niklas.
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* Emit a warning under the development version of pandas when we
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convert non-nanosecond precision datetime or timedelta values
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to nanosecond precision. This was required in the past, because
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pandas previously was not compatible with non-nanosecond
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precision values. However pandas is currently working towards
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removing this restriction. When things stabilize in pandas we
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will likely consider relaxing this behavior in xarray as well
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(GH7175, PR7201). By Spencer Clark.
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- Drop scipy-interpolate.patch: not required
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-------------------------------------------------------------------
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Tue Oct 18 22:04:32 UTC 2022 - Matej Cepl <mcepl@suse.com>
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@@ -1409,6 +1472,8 @@ Sat Mar 28 16:43:47 UTC 2020 - Arun Persaud <arun@gmx.de>
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files (PR3805). By Mathias Hauser.
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+ Remove conversion to pandas.Panel, given its removal in pandas
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in favor of xarray’s objects. By Maximilian Roos
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- Add packages to the test suite so that more of the package is
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tested instead of skipping the tests.
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Sat Feb 1 15:02:10 UTC 2020 - Sebastian Wagner <sebix+novell.com@sebix.at>
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