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- This release brings many improvements to xarray's documentation: our examples are now binderized notebooks (`click here <https://mybinder.org/v2/gh/pydata/xarray/master?urlpath=lab/tree/doc/examples/weather-data.ipynb>`_): - and we have new example notebooks from our SciPy 2019 sprint (many thanks to our contributors!).: - This release also features many API improvements such as a new: :py:class:`~core.accessor_dt.TimedeltaAccessor` and support for :py:class:`CFTimeIndex` in :py:meth:`~DataArray.interpolate_na`); as well as many bug fixes. - Breaking changes: - Bumped minimum tested versions for dependencies: - numpy 1.15 - pandas 0.25 - dask 2.2 - distributed 2.2 - scipy 1.3 - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which have been deprecated since 0.12. (:pull:`3650`). Instead, specify the ``encoding`` kwarg when writing to disk or set the :py:attr:`DataArray.encoding` attribute directly. By `Maximilian Roos <https://github.com/max-sixty>`_. - :py:func:`xarray.dot`, :py:meth:`DataArray.dot`, and the ``@`` operator now use ``align="inner"`` (except when ``xarray.set_options(arithmetic_join="exact")``; :issue:`3694`) by `Mathias Hauser <https://github.com/mathause>`_. - New Features: - :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`) By `Keisuke Fujii <https://github.com/fujiisoup>`_. - Support using an existing, opened h5netcdf ``File`` with :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened using other means (:issue:`3618`). By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_. - Implement ``median`` and ``nanmedian`` for dask arrays. This works by rechunking OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=31
81 lines
2.7 KiB
RPMSpec
81 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: 0.15.0
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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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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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Suggests: python-dask >= 2.2
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Recommends: python-scipy >= 1.3
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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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BuildRequires: python2-mock
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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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# 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" 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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