a574211654
- This release brings the ability to write to limited regions of ``zarr`` files, open zarr files with :py:func:`open_dataset` and :py:func:`open_mfdataset`, increased support for propagating ``attrs`` using the ``keep_attrs`` flag, as well as numerous bugfixes and documentation improvements.:
- Deprecations:
- :py:attr:`~core.accessor_dt.DatetimeAccessor.weekofyear` and :py:attr:`~core.accessor_dt.DatetimeAccessor.week`
have been deprecated. Use ``DataArray.dt.isocalendar().week``
instead (:pull:`4534`). By `Mathias Hauser <https://github.com/mathause>`_,
`Maximilian Roos <https://github.com/max-sixty>`_, and `Spencer Clark <https://github.com/spencerkclark>`_.
- :py:attr:`DataArray.rolling` and :py:attr:`Dataset.rolling` no longer support passing ``keep_attrs``
via its constructor. Pass ``keep_attrs`` via the applied function, i.e. use
``ds.rolling(...).mean(keep_attrs=False)`` instead of ``ds.rolling(..., keep_attrs=False).mean()``
Rolling operations now keep their attributes per default (:pull:`4510`).
By `Mathias Hauser <https://github.com/mathause>`_.
- New Features:
- :py:func:`open_dataset` and :py:func:`open_mfdataset`
now works with ``engine="zarr"`` (:issue:`3668`, :pull:`4003`, :pull:`4187`).
By `Miguel Jimenez <https://github.com/Mikejmnez>`_ and `Wei Ji Leong <https://github.com/weiji14>`_.
- Unary & binary operations follow the ``keep_attrs`` flag (:issue:`3490`, :issue:`4065`, :issue:`3433`, :issue:`3595`, :pull:`4195`).
By `Deepak Cherian <https://github.com/dcherian>`_.
- Added :py:meth:`~core.accessor_dt.DatetimeAccessor.isocalendar()` that returns a Dataset
with year, week, and weekday calculated according to the ISO 8601 calendar. Requires
pandas version 1.1.0 or greater (:pull:`4534`). By `Mathias Hauser <https://github.com/mathause>`_,
`Maximilian Roos <https://github.com/max-sixty>`_, and `Spencer Clark <https://github.com/spencerkclark>`_.
- :py:meth:`Dataset.to_zarr` now supports a ``region`` keyword for writing to
limited regions of existing Zarr stores (:pull:`4035`).
See :ref:`io.zarr.appending` for full details.
By `Stephan Hoyer <https://github.com/shoyer>`_.
- Added typehints in :py:func:`align` to reflect that the same type received in ``objects`` arg will be returned (:pull:`4522`).
By `Michal Baumgartner <https://github.com/m1so>`_.
- :py:meth:`Dataset.weighted` and :py:meth:`DataArray.weighted` are now executing value checks lazily if weights are provided as dask arrays (:issue:`4541`, :pull:`4559`).
By `Julius Busecke <https://github.com/jbusecke>`_.
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=41
80 lines
2.7 KiB
RPMSpec
80 lines
2.7 KiB
RPMSpec
#
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# spec file for package python-xarray
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#
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# Copyright (c) 2020 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%define skip_python2 1
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Name: python-xarray
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Version: 0.16.2
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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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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 >= 1.15}
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BuildRequires: %{python_module numpy-devel >= 1.14}
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BuildRequires: %{python_module pandas >= 0.25}
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BuildRequires: %{python_module setuptools_scm}
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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 >= 1.15
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Requires: python-pandas >= 0.25
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Recommends: python-scipy >= 1.3
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Suggests: python-dask >= 2.2
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Provides: python-xray = %{version}
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Obsoletes: python-xray < %{version}
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BuildArch: noarch
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# SECTION tests
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# dask tests currently failing
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# BuildRequires: %%{python_module dask-dataframe}
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BuildRequires: %{python_module pytest >= 2.7.1}
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BuildRequires: %{python_module scipy}
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# /SECTION
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%python_subpackages
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%description
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xarray (formerly xray) is a python-pandas-like and pandas-compatible
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toolkit for analytics on multi-dimensional arrays. It provides
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N-dimensional variants of the python-pandas labeled data structures,
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rather than the tabular data that pandas uses.
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The Common Data Model for self-describing scientific data is used.
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The dataset is an in-memory representation of a netCDF file.
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%prep
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%setup -q -n xarray-%{version}
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chmod -x xarray/util/print_versions.py
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%build
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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# test_no_warning_from_dask_effective_get fails due to upstream scipy warning
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%pytest -k "not test_download_from_github and not test_no_warning_from_dask_effective_get" xarray
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%files %{python_files}
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%doc README.rst
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%license LICENSE licenses/
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%{python_sitelib}/xarray*
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%changelog
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