python-xarray/python-xarray.spec
Sebastian Wagner 57dbb695d0 Accepting request 648746 from home:mcalabkova:branches:devel:languages:python:numeric
- update to version 0.11.0
  * Enhancements
    + xarray.DataArray.plot.line() can now accept multidimensional 
      coordinate variables as input. hue must be a dimension name 
      in this case. (GH2407) By Deepak Cherian.
    + Added support for Python 3.7. (GH2271). By Joe Hamman.
    + Added support for plotting data with pandas.Interval coordinates, 
      such as those created by groupby_bins() By Maximilian Maahn.
    + Added shift() for shifting the values of a CFTimeIndex by a 
      specified frequency. (GH2244). By Spencer Clark.
    + Added support for using cftime.datetime coordinates with 
      differentiate(), differentiate(), interp(), and interp(). 
      By Spencer Clark
    + There is now a global option to either always keep or always 
      discard dataset and dataarray attrs upon operations. The option 
      is set with xarray.set_options(keep_attrs=True), and the default 
      is to use the old behaviour. By Tom Nicholas.
    + Added a new backend for the GRIB file format based on ECMWF 
      cfgrib python driver and ecCodes C-library. (GH2475) By 
      Alessandro Amici, sponsored by ECMWF.
    + Resample now supports a dictionary mapping from dimension to 
      frequency as its first argument, e.g., 
      data.resample({'time': '1D'}).mean(). This is consistent with 
      other xarray functions that accept either dictionaries or 
      keyword arguments. By Stephan Hoyer.
    + The preferred way to access tutorial data is now to load it 
      lazily with xarray.tutorial.open_dataset(). 
      xarray.tutorial.load_dataset() calls Dataset.load() prior to 
      returning (and is now deprecated). This was changed in order 
      to facilitate using tutorial datasets with dask. By Joe Hamman.

OBS-URL: https://build.opensuse.org/request/show/648746
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=5
2018-11-13 19:35:56 +00:00

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2.5 KiB
RPMSpec

#
# spec file for package python-xarray
#
# Copyright (c) 2018 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-%{**}}
Name: python-xarray
Version: 0.11.0
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}%{$python_sitelib}
%check
#ignore netcdf fails for now, known upstream: https://github.com/pydata/xarray/issues/2050
%python_expand py.test-%{$python_bin_suffix} xarray
%files %{python_files}
%doc README.rst
%license LICENSE licenses/
%{python_sitelib}/xarray*
%changelog