2018-04-24 15:31:25 +02:00
|
|
|
#
|
|
|
|
|
# spec file for package python-xarray
|
|
|
|
|
#
|
2020-02-01 16:13:57 +01:00
|
|
|
# Copyright (c) 2020 SUSE LLC
|
2018-04-24 15:31:25 +02:00
|
|
|
#
|
|
|
|
|
# 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 08:17:06 +02:00
|
|
|
# Please submit bugfixes or comments via https://bugs.opensuse.org/
|
2018-04-24 15:31:25 +02:00
|
|
|
#
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
|
2019-10-24 22:10:08 +02:00
|
|
|
%define skip_python2 1
|
2018-04-24 15:31:25 +02:00
|
|
|
Name: python-xarray
|
2020-02-01 16:13:57 +01:00
|
|
|
Version: 0.15.0
|
2018-04-24 15:31:25 +02:00
|
|
|
Release: 0
|
|
|
|
|
Summary: N-D labeled arrays and datasets in Python
|
|
|
|
|
License: Apache-2.0
|
2019-09-21 22:14:20 +02:00
|
|
|
URL: https://github.com/pydata/xarray
|
2018-04-24 15:31:25 +02:00
|
|
|
Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
|
2020-02-01 16:13:57 +01:00
|
|
|
BuildRequires: %{python_module numpy >= 1.15}
|
2019-11-22 09:29:20 +01:00
|
|
|
BuildRequires: %{python_module numpy-devel >= 1.14}
|
2020-02-01 16:13:57 +01:00
|
|
|
BuildRequires: %{python_module pandas >= 0.25}
|
|
|
|
|
BuildRequires: %{python_module setuptools_scm}
|
2018-04-24 15:31:25 +02:00
|
|
|
BuildRequires: %{python_module setuptools}
|
|
|
|
|
BuildRequires: fdupes
|
|
|
|
|
BuildRequires: python-rpm-macros
|
2020-02-01 16:13:57 +01:00
|
|
|
Requires: python-numpy >= 1.15
|
|
|
|
|
Requires: python-pandas >= 0.25
|
|
|
|
|
Suggests: python-dask >= 2.2
|
|
|
|
|
Recommends: python-scipy >= 1.3
|
2018-05-29 10:34:57 +02:00
|
|
|
Provides: python-xray = %{version}
|
|
|
|
|
Obsoletes: python-xray < %{version}
|
|
|
|
|
BuildArch: noarch
|
2018-04-24 15:31:25 +02:00
|
|
|
# SECTION tests
|
2019-07-30 06:49:59 +02:00
|
|
|
# dask tests currently failing
|
|
|
|
|
# BuildRequires: %%{python_module dask-dataframe}
|
2018-04-24 15:31:25 +02:00
|
|
|
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}
|
2020-02-01 16:13:57 +01:00
|
|
|
chmod -x xarray/util/print_versions.py
|
2018-04-24 15:31:25 +02:00
|
|
|
|
|
|
|
|
%build
|
|
|
|
|
%python_build
|
|
|
|
|
|
|
|
|
|
%install
|
|
|
|
|
%python_install
|
|
|
|
|
%python_expand %fdupes %{buildroot}%{$python_sitelib}
|
|
|
|
|
|
|
|
|
|
%check
|
2019-05-28 09:15:41 +02:00
|
|
|
# Tests are xfail on aarch64: gh#pydata/xarray#2334
|
2019-10-24 22:10:08 +02:00
|
|
|
%pytest -k "not test_datetime_reduce and not test_roundtrip_numpy_datetime_data and not test_download_from_github" xarray
|
2018-04-24 15:31:25 +02:00
|
|
|
|
|
|
|
|
%files %{python_files}
|
|
|
|
|
%doc README.rst
|
|
|
|
|
%license LICENSE licenses/
|
2018-07-23 18:01:10 +02:00
|
|
|
%{python_sitelib}/xarray*
|
2018-04-24 15:31:25 +02:00
|
|
|
|
|
|
|
|
%changelog
|
