forked from pool/python-xarray
Accepting request 750215 from home:apersaud:branches:devel:languages:python:numeric
update to latest version OBS-URL: https://build.opensuse.org/request/show/750215 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-xarray?expand=0&rev=29
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Tomáš Chvátal
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-------------------------------------------------------------------
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Fri Nov 22 06:11:38 UTC 2019 - Arun Persaud <arun@gmx.de>
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- update to version 0.14.1:
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* Breaking changes
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+ Broken compatibility with cftime < 1.0.3 . By Deepak Cherian.
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Warning:
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cftime version 1.0.4 is broken (cftime/126); please use version
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1.0.4.2 instead.
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+ All leftover support for dates from non-standard calendars
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through netcdftime, the module included in versions of netCDF4
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prior to 1.4 that eventually became the cftime package, has been
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removed in favor of relying solely on the standalone cftime
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package (PR3450). By Spencer Clark.
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* New Features
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+ Added the sparse option to unstack(), unstack(), reindex(),
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reindex() (GH3518). By Keisuke Fujii.
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+ Added the fill_value option to DataArray.unstack() and
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Dataset.unstack() (GH3518, PR3541). By Keisuke Fujii.
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+ Added the max_gap kwarg to interpolate_na() and
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interpolate_na(). This controls the maximum size of the data gap
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that will be filled by interpolation. By Deepak Cherian.
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+ Added Dataset.drop_sel() & DataArray.drop_sel() for dropping
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labels. Dataset.drop_vars() & DataArray.drop_vars() have been
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added for dropping variables (including coordinates). The
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existing Dataset.drop() & DataArray.drop() methods remain as a
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backward compatible option for dropping either labels or
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variables, but using the more specific methods is
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encouraged. (PR3475) By Maximilian Roos
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+ Added Dataset.map() & GroupBy.map() & Resample.map() for mapping
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/ applying a function over each item in the collection,
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reflecting the widely used and least surprising name for this
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operation. The existing apply methods remain for backward
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compatibility, though using the map methods is
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encouraged. (PR3459) By Maximilian Roos
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+ Dataset.transpose() and DataArray.transpose() now support an
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ellipsis (...) to represent all ‘other’ dimensions. For example,
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to move one dimension to the front, use .transpose('x',
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...). (PR3421) By Maximilian Roos
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+ Changed xr.ALL_DIMS to equal python’s Ellipsis (...), and
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changed internal usages to use ... directly. As before, you can
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use this to instruct a groupby operation to reduce over all
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dimensions. While we have no plans to remove xr.ALL_DIMS, we
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suggest using .... (PR3418) By Maximilian Roos
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+ xarray.dot(), and DataArray.dot() now support the
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dims=... option to sum over the union of dimensions of all input
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arrays (GH3423) by Mathias Hauser.
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+ Added new Dataset._repr_html_() and DataArray._repr_html_() to
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improve representation of objects in Jupyter. By default this
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feature is turned off for now. Enable it with
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xarray.set_options(display_style="html"). (PR3425) by Benoit
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Bovy and Julia Signell.
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+ Implement dask deterministic hashing for xarray objects. Note
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that xarray objects with a dask.array backend already used
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deterministic hashing in previous releases; this change
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implements it when whole xarray objects are embedded in a dask
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graph, e.g. when DataArray.map() is invoked. (GH3378, PR3446,
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PR3515) By Deepak Cherian and Guido Imperiale.
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+ Add the documented-but-missing
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DatasetGroupBy.quantile(). (GH3525, PR3527). By Justus Magin.
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* Bug fixes
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+ Ensure an index of type CFTimeIndex is not converted to a
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DatetimeIndex when calling Dataset.rename(),
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Dataset.rename_dims() and Dataset.rename_vars(). By Mathias
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Hauser. (GH3522).
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+ Fix a bug in DataArray.set_index() in case that an existing
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dimension becomes a level variable of MultiIndex. (PR3520). By
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Keisuke Fujii.
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+ Harmonize _FillValue, missing_value during encoding and decoding
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steps. (PR3502) By Anderson Banihirwe.
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+ Fix regression introduced in v0.14.0 that would cause a crash if
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dask is installed but cloudpickle isn’t (GH3401) by Rhys Doyle
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+ Fix grouping over variables with NaNs. (GH2383, PR3406). By
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Deepak Cherian.
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+ Make alignment and concatenation significantly more efficient by
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using dask names to compare dask objects prior to comparing
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values after computation. This change makes it more convenient
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to carry around large non-dimensional coordinate variables
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backed by dask arrays. Existing workarounds involving
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reset_coords(drop=True) should now be unnecessary in most
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cases. (GH3068, GH3311, GH3454, PR3453). By Deepak Cherian.
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+ Add support for cftime>=1.0.4. By Anderson Banihirwe.
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+ Rolling reduction operations no longer compute dask arrays by
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default. (GH3161). In addition, the allow_lazy kwarg to reduce
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is deprecated. By Deepak Cherian.
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+ Fix GroupBy.reduce() when reducing over multiple
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dimensions. (GH3402). By Deepak Cherian
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+ Allow appending datetime and bool data variables to zarr
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stores. (GH3480). By Akihiro Matsukawa.
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+ Add support for numpy >=1.18 (); bugfix mean() on datetime64
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arrays on dask backend (GH3409, PR3537). By Guido Imperiale.
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+ Add support for pandas >=0.26 (GH3440). By Deepak Cherian.
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+ Add support for pseudonetcdf >=3.1 (PR3485). By Barron
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Henderson.
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* Documentation
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+ Fix leap year condition in monthly means example. By Mickaël
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Lalande.
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+ Fix the documentation of DataArray.resample() and
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Dataset.resample(), explicitly stating that a datetime-like
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dimension is required. (PR3400) By Justus Magin.
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+ Update the Terminology page to address multidimensional
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coordinates. (PR3410) By Jon Thielen.
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+ Fix the documentation of Dataset.integrate() and
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DataArray.integrate() and add an example to
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Dataset.integrate(). (PR3469) By Justus Magin.
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* Internal Changes
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+ Added integration tests against pint. (PR3238, PR3447, PR3493,
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PR3508) by Justus Magin.
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Note:
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At the moment of writing, these tests as well as the ability to
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use pint in general require a highly experimental version of
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pint (install with pip install
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git+https://github.com/andrewgsavage/pint.git@refs/pull/6/head). Even
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with it, interaction with non-numpy array libraries, e.g. dask
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or sparse, is broken.
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+ Use Python 3.6 idioms throughout the codebase. (PR3419) By
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Maximilian Roos
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+ Run basic CI tests on Python 3.8. (PR3477) By Maximilian Roos
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+ Enable type checking on default sentinel values (PR3472) By
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Maximilian Roos
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+ Add Variable._replace() for simpler replacing of a subset of
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attributes (PR3472) By Maximilian Roos
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-------------------------------------------------------------------
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Thu Oct 24 19:52:12 UTC 2019 - Todd R <toddrme2178@gmail.com>
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@ -19,15 +19,14 @@
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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: 0.14.0
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Version: 0.14.1
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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: https://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 >= 1.14}
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BuildRequires: %{python_module numpy >= 1.14}
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BuildRequires: %{python_module numpy-devel >= 1.14}
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BuildRequires: %{python_module pandas >= 0.24}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8b93e1b0af27fa7de199a2d36933f1f5acc9854783646b0f1b37fed9b4da091
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size 1831781
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3
xarray-0.14.1.tar.gz
Normal file
3
xarray-0.14.1.tar.gz
Normal file
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version https://git-lfs.github.com/spec/v1
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oid sha256:04b2f4d24707b8871a7ffa37328d0a2de74e81bd30791c9608712612601abd23
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size 1873976
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