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#
# spec file for package python-xarray
#
# Copyright (c) 2021 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.
Accepting request 638355 from devel:languages:python:numeric - update to version 0.10.9: * Enhancements + differentiate() and differentiate() are newly added. (GH1332) By Keisuke Fujii. + Default colormap for sequential and divergent data can now be set via set_options() (GH2394) By Julius Busecke. + min_count option is newly supported in sum(), prod() and sum(), and prod(). (GH2230) By Keisuke Fujii. + plot() now accepts the kwargs xscale, yscale, xlim, ylim, xticks, yticks just like Pandas. Also xincrease=False, yincrease=False now use matplotlib’s axis inverting methods instead of setting limits. By Deepak Cherian. (GH2224) + DataArray coordinates and Dataset coordinates and data variables are now displayed as a b … y z rather than a b c d …. (GH1186) By Seth P. + A new CFTimeIndex-enabled cftime_range() function for use in generating dates from standard or non-standard calendars. By Spencer Clark. + When interpolating over a datetime64 axis, you can now provide a datetime string instead of a datetime64 object. E.g. da.interp(time='1991-02-01') (GH2284) By Deepak Cherian. + A clear error message is now displayed if a set or dict is passed in place of an array (GH2331) By Maximilian Roos. + Applying unstack to a large DataArray or Dataset is now much faster if the MultiIndex has not been modified after stacking the indices. (GH1560) By Maximilian Maahn. + You can now control whether or not to offset the coordinates when using the roll method and the current behavior, coordinates rolled by default, raises a deprecation warning unless OBS-URL: https://build.opensuse.org/request/show/638355 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-xarray?expand=0&rev=5
2018-10-01 06:17:06 +00:00
# Please submit bugfixes or comments via https://bugs.opensuse.org/
#
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
%define skip_python2 1
# 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
- update to version 0.17.0: - This release brings a few important performance improvements, a wide range of: - usability upgrades, lots of bug fixes, and some new features. These include: - better ``cftime`` support, a new quiver plot, better ``unstack`` performance,: - more efficient memory use in rolling operations, and some python packaging: - improvements. We also have a few documentation improvements (and more planned!).: - Many thanks to the 36 contributors to this release: Alessandro Amici, Anderson: - Banihirwe, Aureliana Barghini, Ayrton Bourn, Benjamin Bean, Blair Bonnett, Chun: - Ho Chow, DWesl, Daniel Mesejo-León, Deepak Cherian, Eric Keenan, Illviljan, Jens: - Hedegaard Nielsen, Jody Klymak, Julien Seguinot, Julius Busecke, Kai Mühlbauer,: - Leif Denby, Martin Durant, Mathias Hauser, Maximilian Roos, Michael Mann, Ray: - Bell, RichardScottOZ, Spencer Clark, Tim Gates, Tom Nicholas, Yunus Sevinchan,: - alexamici, aurghs, crusaderky, dcherian, ghislainp, keewis, rhkleijn: - Breaking changes: - xarray no longer supports python 3.6 The minimum version policy was changed to also apply to projects with irregular releases. As a result, the minimum versions of some dependencies have changed: ============ ====== ==== Package Old New ============ ====== ==== Python 3.6 3.7 setuptools 38.4 40.4 numpy 1.15 1.17 pandas 0.25 1.0 dask 2.9 2.11 distributed 2.9 2.11 bottleneck 1.2 1.3 h5netcdf 0.7 0.8 iris 2.2 2.4 netcdf4 1.4 1.5 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=45
2021-02-27 14:45:12 +00:00
Version: 0.17.0
Release: 0
Summary: N-D labeled arrays and datasets in Python
License: Apache-2.0
URL: https://github.com/pydata/xarray
Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
- update to version 0.15.0: - 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
2020-02-01 15:13:57 +00:00
BuildRequires: %{python_module numpy >= 1.15}
BuildRequires: %{python_module numpy-devel >= 1.14}
- update to version 0.15.0: - 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
2020-02-01 15:13:57 +00:00
BuildRequires: %{python_module pandas >= 0.25}
BuildRequires: %{python_module setuptools_scm}
BuildRequires: %{python_module setuptools}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
- update to version 0.15.0: - 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
2020-02-01 15:13:57 +00:00
Requires: python-numpy >= 1.15
Requires: python-pandas >= 0.25
Provides: python-xray = %{version}
Obsoletes: python-xray < %{version}
BuildArch: noarch
Suggests: python-dask-all
# SECTION extras accel
Recommends: python-scipy >= 1.3
Recommends: python-bottleneck
Recommends: python-numbagg
# /SECTION
# SECTION extras viz
Suggests: python-matplotlib
Suggests: python-seaborn
Suggests: python-nc-time-axis
#/SECTION
# SECTION extras io
Suggests: python-netCDF4
Suggests: python-h5netcdf
Suggests: python-scipy
Suggests: python-pydap
Suggests: python-zarr
Suggests: python-fsspec
Suggests: python-cftime
Suggests: python-rasterio
Suggests: python-cfgrib
#/SECTION
# SECTION tests
BuildRequires: %{python_module dask-dataframe}
BuildRequires: %{python_module pytest-xdist}
BuildRequires: %{python_module pytest}
BuildRequires: %{python_module scipy}
# /SECTION
%python_subpackages
%description
xarray (formerly xray) is a python-pandas-like and pandas-compatible
toolkit for analytics on multi-dimensional arrays. It provides
N-dimensional variants of the python-pandas labeled data structures,
rather than the tabular data that pandas uses.
The Common Data Model for self-describing scientific data is used.
The dataset is an in-memory representation of a netCDF file.
%prep
%autosetup -p1 -n xarray-%{version}
- update to version 0.15.0: - 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
2020-02-01 15:13:57 +00:00
chmod -x xarray/util/print_versions.py
%build
%python_build
%install
%python_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}
%check
if [ $(getconf LONG_BIT) -eq 32 ]; then
# precision errors on 32-bit
donttest="(test_interpolate_chunk_advanced and linear)"
fi
%pytest -n auto ${donttest:+ -k "not ($donttest)"} xarray
%files %{python_files}
%doc README.rst
%license LICENSE licenses/
%{python_sitelib}/xarray
%{python_sitelib}/xarray-%{version}*-info
%changelog