forked from pool/python-xarray
Accepting request 742733 from home:TheBlackCat:branches:devel:languages:python:numeric
update to version 0.14.0 OBS-URL: https://build.opensuse.org/request/show/742733 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=27
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-------------------------------------------------------------------
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Thu Oct 24 19:52:12 UTC 2019 - Todd R <toddrme2178@gmail.com>
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- update to version 0.14.0
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+ Breaking changes
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* Dropped the `drop=False` optional parameter from Variable.isel.
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It was unused and doesn't make sense for a Variable.
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+ New functions/methods
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* Added xarray.map_blocks, modeled after dask.array.map_blocks.
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Also added Dataset.unify_chunks, DataArray.unify_chunks and
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testing.assert_chunks_equal
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+ Enhancements
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* xarray.core.GroupBy enhancements.
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> Added a repr
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> Added a ``GroupBy.dims`` property that mirrors the dimensions
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of each group.
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* Speed up Dataset.isel up to 33% and DataArray.isel up to 25% for small
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arrays
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+ Bug fixes
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* Reintroduce support for weakref (broken in v0.13.0). Support has been
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reinstated for DataArray and Dataset objects only. Internal xarray
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objects remain unaddressable by weakref in order to save memory
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* Line plots with the x or y argument set to a 1D non-dimensional coord
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now plot the correct data for 2D DataArrays
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* Make xarray.concat more robust when merging variables present in some datasets but
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not others.
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* The default behaviour of reducing across all dimensions for
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xarray.core.groupby.DataArrayGroupBy objects has now been properly removed
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as was done for xarray.core.groupby.DatasetGroupBy in 0.13.0.
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Use xarray.ALL_DIMS if you need to replicate previous behaviour.
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Also raise nicer error message when no groups are created.
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* Fix error in concatenating unlabeled dimensions.
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-------------------------------------------------------------------
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Sat Sep 21 19:53:35 UTC 2019 - Arun Persaud <arun@gmx.de>
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@ -17,22 +17,23 @@
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%define skip_python2 1
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%define skip_python2 1
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Name: python-xarray
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Version: 0.13.0
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Version: 0.14.0
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Release: 0
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Summary: N-D labeled arrays and datasets in Python
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License: Apache-2.0
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Group: Development/Languages/Python
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URL: https://github.com/pydata/xarray
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Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
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BuildRequires: %{python_module numpy-devel >= 1.12}
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BuildRequires: %{python_module pandas >= 0.19.2}
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BuildRequires: %{python_module numpy-devel >= 1.14}
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BuildRequires: %{python_module numpy >= 1.14}
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BuildRequires: %{python_module pandas >= 0.24}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-numpy >= 1.12
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Requires: python-pandas >= 0.19.2
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Requires: python-numpy >= 1.14
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Requires: python-pandas >= 0.24
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Recommends: python-scipy
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Provides: python-xray = %{version}
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Obsoletes: python-xray < %{version}
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@ -67,7 +68,7 @@ The dataset is an in-memory representation of a netCDF file.
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%check
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# Tests are xfail on aarch64: gh#pydata/xarray#2334
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%pytest -k "not test_datetime_reduce and not test_roundtrip_numpy_datetime_data and not test_download_from_github"
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%pytest -k "not test_datetime_reduce and not test_roundtrip_numpy_datetime_data and not test_download_from_github" xarray
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%files %{python_files}
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%doc README.rst
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@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:80e5746ffdebb96b997dba0430ff02d98028ef3828e6db6106cbbd6d62e32825
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size 1821280
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3
xarray-0.14.0.tar.gz
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3
xarray-0.14.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8b93e1b0af27fa7de199a2d36933f1f5acc9854783646b0f1b37fed9b4da091
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size 1831781
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