Sebastian Wagner
eb24473042
- New functions/methods:
- Two new functions, :py:func:`~xarray.combine_nested` and
:py:func:`~xarray.combine_by_coords`, allow for combining datasets along any
number of dimensions, instead of the one-dimensional list of datasets
supported by :py:func:`~xarray.concat`.
The new ``combine_nested`` will accept the datasets as a nested
list-of-lists, and combine by applying a series of concat and merge
operations. The new ``combine_by_coords`` instead uses the dimension
coordinates of datasets to order them.
:py:func:`~xarray.open_mfdataset` can use either ``combine_nested`` or
``combine_by_coords`` to combine datasets along multiple dimensions, by
specifying the argument ``combine='nested'`` or ``combine='by_coords'``.
The older function :py:func:`~xarray.auto_combine` has been deprecated,
because its functionality has been subsumed by the new functions.
To avoid FutureWarnings switch to using ``combine_nested`` or
``combine_by_coords``, (or set the ``combine`` argument in
``open_mfdataset``). (:issue:`2159`)
By `Tom Nicholas <http://github.com/TomNicholas>`_.
- :py:meth:`~xarray.DataArray.rolling_exp` and
:py:meth:`~xarray.Dataset.rolling_exp` added, similar to pandas'
``pd.DataFrame.ewm`` method. Calling ``.mean`` on the resulting object
will return an exponentially weighted moving average.
By `Maximilian Roos <https://github.com/max-sixty>`_.
- New :py:func:`DataArray.str <core.accessor_str.StringAccessor>` for string
related manipulations, based on ``pandas.Series.str``.
By `0x0L <https://github.com/0x0L>`_.
- Added ``strftime`` method to ``.dt`` accessor, making it simpler to hand a
datetime ``DataArray`` to other code expecting formatted dates and times.
(:issue:`2090`). :py:meth:`~xarray.CFTimeIndex.strftime` is also now
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=18
77 lines
2.5 KiB
RPMSpec
77 lines
2.5 KiB
RPMSpec
#
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# spec file for package python-xarray
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#
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# Copyright (c) 2019 SUSE LINUX GmbH, Nuernberg, Germany.
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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: 0.12.2
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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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Group: Development/Languages/Python
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URL: http://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 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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Recommends: python-scipy
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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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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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%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"
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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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