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Accepting request 750215 from home:apersaud:branches:devel:languages:python:numeric

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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
This commit is contained in:
Tomáš Chvátal
2019-11-22 08:29:20 +00:00
committed by Git OBS Bridge
parent 6d9a3949fe
commit e27cfe86b1
4 changed files with 128 additions and 6 deletions
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123
python-xarray.changes
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-------------------------------------------------------------------
Fri Nov 22 06:11:38 UTC 2019 - Arun Persaud <arun@gmx.de>
- update to version 0.14.1:
* Breaking changes
+ Broken compatibility with cftime < 1.0.3 . By Deepak Cherian.
Warning:
cftime version 1.0.4 is broken (cftime/126); please use version
1.0.4.2 instead.
+ All leftover support for dates from non-standard calendars
through netcdftime, the module included in versions of netCDF4
prior to 1.4 that eventually became the cftime package, has been
removed in favor of relying solely on the standalone cftime
package (PR3450). By Spencer Clark.
* New Features
+ Added the sparse option to unstack(), unstack(), reindex(),
reindex() (GH3518). By Keisuke Fujii.
+ Added the fill_value option to DataArray.unstack() and
Dataset.unstack() (GH3518, PR3541). By Keisuke Fujii.
+ Added the max_gap kwarg to interpolate_na() and
interpolate_na(). This controls the maximum size of the data gap
that will be filled by interpolation. By Deepak Cherian.
+ Added Dataset.drop_sel() & DataArray.drop_sel() for dropping
labels. Dataset.drop_vars() & DataArray.drop_vars() have been
added for dropping variables (including coordinates). The
existing Dataset.drop() & DataArray.drop() methods remain as a
backward compatible option for dropping either labels or
variables, but using the more specific methods is
encouraged. (PR3475) By Maximilian Roos
+ Added Dataset.map() & GroupBy.map() & Resample.map() for mapping
/ applying a function over each item in the collection,
reflecting the widely used and least surprising name for this
operation. The existing apply methods remain for backward
compatibility, though using the map methods is
encouraged. (PR3459) By Maximilian Roos
+ Dataset.transpose() and DataArray.transpose() now support an
ellipsis (...) to represent all ‘other’ dimensions. For example,
to move one dimension to the front, use .transpose('x',
...). (PR3421) By Maximilian Roos
+ Changed xr.ALL_DIMS to equal python’s Ellipsis (...), and
changed internal usages to use ... directly. As before, you can
use this to instruct a groupby operation to reduce over all
dimensions. While we have no plans to remove xr.ALL_DIMS, we
suggest using .... (PR3418) By Maximilian Roos
+ xarray.dot(), and DataArray.dot() now support the
dims=... option to sum over the union of dimensions of all input
arrays (GH3423) by Mathias Hauser.
+ Added new Dataset._repr_html_() and DataArray._repr_html_() to
improve representation of objects in Jupyter. By default this
feature is turned off for now. Enable it with
xarray.set_options(display_style="html"). (PR3425) by Benoit
Bovy and Julia Signell.
+ Implement dask deterministic hashing for xarray objects. Note
that xarray objects with a dask.array backend already used
deterministic hashing in previous releases; this change
implements it when whole xarray objects are embedded in a dask
graph, e.g. when DataArray.map() is invoked. (GH3378, PR3446,
PR3515) By Deepak Cherian and Guido Imperiale.
+ Add the documented-but-missing
DatasetGroupBy.quantile(). (GH3525, PR3527). By Justus Magin.
* Bug fixes
+ Ensure an index of type CFTimeIndex is not converted to a
DatetimeIndex when calling Dataset.rename(),
Dataset.rename_dims() and Dataset.rename_vars(). By Mathias
Hauser. (GH3522).
+ Fix a bug in DataArray.set_index() in case that an existing
dimension becomes a level variable of MultiIndex. (PR3520). By
Keisuke Fujii.
+ Harmonize _FillValue, missing_value during encoding and decoding
steps. (PR3502) By Anderson Banihirwe.
+ Fix regression introduced in v0.14.0 that would cause a crash if
dask is installed but cloudpickle isn’t (GH3401) by Rhys Doyle
+ Fix grouping over variables with NaNs. (GH2383, PR3406). By
Deepak Cherian.
+ Make alignment and concatenation significantly more efficient by
using dask names to compare dask objects prior to comparing
values after computation. This change makes it more convenient
to carry around large non-dimensional coordinate variables
backed by dask arrays. Existing workarounds involving
reset_coords(drop=True) should now be unnecessary in most
cases. (GH3068, GH3311, GH3454, PR3453). By Deepak Cherian.
+ Add support for cftime>=1.0.4. By Anderson Banihirwe.
+ Rolling reduction operations no longer compute dask arrays by
default. (GH3161). In addition, the allow_lazy kwarg to reduce
is deprecated. By Deepak Cherian.
+ Fix GroupBy.reduce() when reducing over multiple
dimensions. (GH3402). By Deepak Cherian
+ Allow appending datetime and bool data variables to zarr
stores. (GH3480). By Akihiro Matsukawa.
+ Add support for numpy >=1.18 (); bugfix mean() on datetime64
arrays on dask backend (GH3409, PR3537). By Guido Imperiale.
+ Add support for pandas >=0.26 (GH3440). By Deepak Cherian.
+ Add support for pseudonetcdf >=3.1 (PR3485). By Barron
Henderson.
* Documentation
+ Fix leap year condition in monthly means example. By Mickaël
Lalande.
+ Fix the documentation of DataArray.resample() and
Dataset.resample(), explicitly stating that a datetime-like
dimension is required. (PR3400) By Justus Magin.
+ Update the Terminology page to address multidimensional
coordinates. (PR3410) By Jon Thielen.
+ Fix the documentation of Dataset.integrate() and
DataArray.integrate() and add an example to
Dataset.integrate(). (PR3469) By Justus Magin.
* Internal Changes
+ Added integration tests against pint. (PR3238, PR3447, PR3493,
PR3508) by Justus Magin.
Note:
At the moment of writing, these tests as well as the ability to
use pint in general require a highly experimental version of
pint (install with pip install
git+https://github.com/andrewgsavage/pint.git@refs/pull/6/head). Even
with it, interaction with non-numpy array libraries, e.g. dask
or sparse, is broken.
+ Use Python 3.6 idioms throughout the codebase. (PR3419) By
Maximilian Roos
+ Run basic CI tests on Python 3.8. (PR3477) By Maximilian Roos
+ Enable type checking on default sentinel values (PR3472) By
Maximilian Roos
+ Add Variable._replace() for simpler replacing of a subset of
attributes (PR3472) By Maximilian Roos
-------------------------------------------------------------------
Thu Oct 24 19:52:12 UTC 2019 - Todd R <toddrme2178@gmail.com>

5
python-xarray.spec
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
%define skip_python2 1
Name: python-xarray
Version: 0.14.0
Version: 0.14.1
Release: 0
Summary: N-D labeled arrays and datasets in Python
License: Apache-2.0
Group: Development/Languages/Python
URL: https://github.com/pydata/xarray
Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
BuildRequires: %{python_module numpy-devel >= 1.14}
BuildRequires: %{python_module numpy >= 1.14}
BuildRequires: %{python_module numpy-devel >= 1.14}
BuildRequires: %{python_module pandas >= 0.24}
BuildRequires: %{python_module setuptools}
BuildRequires: fdupes

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xarray-0.14.0.tar.gz
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size 1831781

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xarray-0.14.1.tar.gz Normal file
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