2018-04-24 15:31:25 +02:00
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#
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# spec file for package python-xarray
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#
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- update to version 0.11.2:
- Removes inadvertently introduced setup dependency on pytest-runner (:issue:`2641`). Otherwise, this release is exactly equivalent to 0.11.1.
- Warning:
- This is the last xarray release that will support Python 2.7. Future releases will be Python 3 only, but older versions of xarray will always be available for Python 2.7 users. For the more details, see:
- update to version 0.11.1:
- Breaking changes
- Minimum rasterio version increased from 0.36 to 1.0 (for open_rasterio)
- Time bounds variables are now also decoded according to CF conventions (:issue:`2565`). The previous behavior was to decode them only if they had specific time attributes, now these attributes are copied automatically from the corresponding time coordinate. This might brake downstream code that was relying on these variables to be not decoded. By Fabien Maussion.
- Enhancements
- Ability to read and write consolidated metadata in zarr stores (:issue:`2558`). By Ryan Abernathey.
- :py:class:`CFTimeIndex` uses slicing for string indexing when possible (like :py:class:`pandas.DatetimeIndex`), which avoids unnecessary copies. By Stephan Hoyer
- Enable passing rasterio.io.DatasetReader or rasterio.vrt.WarpedVRT to open_rasterio instead of file path string. Allows for in-memory reprojection, see (:issue:`2588`). By Scott Henderson.
- Like :py:class:`pandas.DatetimeIndex`, :py:class:`CFTimeIndex` now supports "dayofyear" and "dayofweek" accessors (:issue:`2597`). Note this requires a version of cftime greater than 1.0.2. By Spencer Clark.
- The option 'warn_for_unclosed_files' (False by default) has been added to allow users to enable a warning when files opened by xarray are deallocated but were not explicitly closed. This is mostly useful for debugging; we recommend enabling it in your test suites if you use xarray for IO. By Stephan Hoyer
- Support Dask HighLevelGraphs by Matthew Rocklin.
- :py:meth:`DataArray.resample` and :py:meth:`Dataset.resample` now supports the loffset kwarg just like Pandas. By Deepak Cherian
- Datasets are now guaranteed to have a 'source' encoding, so the source file name is always stored (:issue:`2550`). By Tom Nicholas.
- The apply methods for DatasetGroupBy, DataArrayGroupBy, DatasetResample and DataArrayResample now support passing positional arguments to the applied function as a tuple to the args argument. By Matti Eskelinen.
- 0d slices of ndarrays are now obtained directly through indexing, rather than extracting and wrapping a scalar, avoiding unnecessary copying. By Daniel Wennberg.
- Added support for fill_value with :py:meth:`~xarray.DataArray.shift` and :py:meth:`~xarray.Dataset.shift` By Maximilian Roos
- Bug fixes
- Ensure files are automatically closed, if possible, when no longer referenced by a Python variable (:issue:`2560`). By Stephan Hoyer
- Fixed possible race conditions when reading/writing to disk in parallel (:issue:`2595`). By Stephan Hoyer
- Fix h5netcdf saving scalars with filters or chunks (:issue:`2563`). By Martin Raspaud.
- Fix parsing of _Unsigned attribute set by OPENDAP servers. (:issue:`2583`). By Deepak Cherian
- Fix failure in time encoding when exporting to netCDF with versions of pandas less than 0.21.1 (:issue:`2623`). By Spencer Clark.
- Fix MultiIndex selection to update label and level (:issue:`2619`). By Keisuke Fujii.
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=7
2019-01-03 20:39:55 +01:00
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# Copyright (c) 2019 SUSE LINUX GmbH, Nuernberg, Germany.
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2018-04-24 15:31:25 +02:00
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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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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
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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2018-04-24 15:31:25 +02:00
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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2019-03-17 08:56:01 +01:00
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%define skip_python2 1
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2018-04-24 15:31:25 +02:00
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Name: python-xarray
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2019-07-15 21:35:40 +02:00
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Version: 0.12.3
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2018-04-24 15:31:25 +02:00
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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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2018-05-29 10:34:57 +02:00
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URL: http://github.com/pydata/xarray
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2018-04-24 15:31:25 +02:00
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Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
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2018-07-23 18:01:10 +02:00
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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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2018-04-24 15:31:25 +02:00
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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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2018-07-23 18:01:10 +02:00
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Requires: python-numpy >= 1.12
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Requires: python-pandas >= 0.19.2
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2018-05-29 10:34:57 +02:00
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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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2018-04-24 15:31:25 +02:00
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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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2019-05-28 09:15:41 +02:00
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# Tests are xfail on aarch64: gh#pydata/xarray#2334
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2019-06-30 12:20:43 +02:00
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%pytest -k "not test_datetime_reduce and not test_roundtrip_numpy_datetime_data and not test_download_from_github"
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2018-04-24 15:31:25 +02:00
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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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2018-07-23 18:01:10 +02:00
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%{python_sitelib}/xarray*
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2018-04-24 15:31:25 +02:00
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%changelog
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