af8f8637aa
- New functions/methods:
- New methods :py:meth:`Dataset.to_stacked_array` and
:py:meth:`DataArray.to_unstacked_dataset` for reshaping Datasets of variables
with different dimensions
(:issue:`1317`).
This is useful for feeding data from xarray into machine learning models,
as described in :ref:`reshape.stacking_different`.
- Enhancements:
- Support for renaming ``Dataset`` variables and dimensions independently
with :py:meth:`~Dataset.rename_vars` and :py:meth:`~Dataset.rename_dims`
(:issue:`3026`).
- Add ``scales``, ``offsets``, ``units`` and ``descriptions``
attributes to :py:class:`~xarray.DataArray` returned by
:py:func:`~xarray.open_rasterio`. (:issue:`3013`)
- Bug fixes:
- Resolved deprecation warnings from newer versions of matplotlib and dask.
- Compatibility fixes for the upcoming pandas 0.25 and NumPy 1.17 releases.
- Fix summaries for multiindex coordinates (:issue:`3079`).
- Fix HDF5 error that could arise when reading multiple groups from a file at
once (:issue:`2954`).
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=21
77 lines
2.5 KiB
RPMSpec
77 lines
2.5 KiB
RPMSpec
#
|
|
# spec file for package python-xarray
|
|
#
|
|
# Copyright (c) 2019 SUSE LINUX GmbH, Nuernberg, Germany.
|
|
#
|
|
# 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.
|
|
|
|
# Please submit bugfixes or comments via https://bugs.opensuse.org/
|
|
#
|
|
|
|
|
|
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
|
|
%define skip_python2 1
|
|
Name: python-xarray
|
|
Version: 0.12.3
|
|
Release: 0
|
|
Summary: N-D labeled arrays and datasets in Python
|
|
License: Apache-2.0
|
|
Group: Development/Languages/Python
|
|
URL: http://github.com/pydata/xarray
|
|
Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
|
|
BuildRequires: %{python_module numpy-devel >= 1.12}
|
|
BuildRequires: %{python_module pandas >= 0.19.2}
|
|
BuildRequires: %{python_module setuptools}
|
|
BuildRequires: fdupes
|
|
BuildRequires: python-rpm-macros
|
|
Requires: python-numpy >= 1.12
|
|
Requires: python-pandas >= 0.19.2
|
|
Recommends: python-scipy
|
|
Provides: python-xray = %{version}
|
|
Obsoletes: python-xray < %{version}
|
|
BuildArch: noarch
|
|
# SECTION tests
|
|
BuildRequires: %{python_module dask-dataframe}
|
|
BuildRequires: %{python_module pytest >= 2.7.1}
|
|
BuildRequires: %{python_module scipy}
|
|
BuildRequires: python2-mock
|
|
# /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
|
|
%setup -q -n xarray-%{version}
|
|
|
|
%build
|
|
%python_build
|
|
|
|
%install
|
|
%python_install
|
|
%python_expand %fdupes %{buildroot}%{$python_sitelib}
|
|
|
|
%check
|
|
# Tests are xfail on aarch64: gh#pydata/xarray#2334
|
|
%pytest -k "not test_datetime_reduce and not test_roundtrip_numpy_datetime_data and not test_download_from_github"
|
|
|
|
%files %{python_files}
|
|
%doc README.rst
|
|
%license LICENSE licenses/
|
|
%{python_sitelib}/xarray*
|
|
|
|
%changelog
|