Hello community,
here is the log from the commit of package python-xarray for openSUSE:Factory
checked in at 2019-10-24 23:11:38
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-xarray (Old)
and /work/SRC/openSUSE:Factory/.python-xarray.new.2990 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-xarray"
Thu Oct 24 23:11:38 2019 rev:16 rq:742735 version:0.14.0
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-xarray/python-xarray.changes
2019-09-30 15:59:45.185160077 +0200
+++ /work/SRC/openSUSE:Factory/.python-xarray.new.2990/python-xarray.changes
2019-10-24 23:11:41.892699734 +0200
@@ -1,0 +2,33 @@
+Thu Oct 24 19:52:12 UTC 2019 - Todd R <toddrme2...@gmail.com>
+
+- update to version 0.14.0
+ + Breaking changes
+ * Dropped the `drop=False` optional parameter from Variable.isel.
+ It was unused and doesn't make sense for a Variable.
+ + New functions/methods
+ * Added xarray.map_blocks, modeled after dask.array.map_blocks.
+ Also added Dataset.unify_chunks, DataArray.unify_chunks and
+ testing.assert_chunks_equal
+ + Enhancements
+ * xarray.core.GroupBy enhancements.
+ > Added a repr
+ > Added a ``GroupBy.dims`` property that mirrors the dimensions
+ of each group.
+ * Speed up Dataset.isel up to 33% and DataArray.isel up to 25% for small
+ arrays
+ + Bug fixes
+ * Reintroduce support for weakref (broken in v0.13.0). Support has been
+ reinstated for DataArray and Dataset objects only. Internal xarray
+ objects remain unaddressable by weakref in order to save memory
+ * Line plots with the x or y argument set to a 1D non-dimensional coord
+ now plot the correct data for 2D DataArrays
+ * Make xarray.concat more robust when merging variables present in some
datasets but
+ not others.
+ * The default behaviour of reducing across all dimensions for
+ xarray.core.groupby.DataArrayGroupBy objects has now been properly
removed
+ as was done for xarray.core.groupby.DatasetGroupBy in 0.13.0.
+ Use xarray.ALL_DIMS if you need to replicate previous behaviour.
+ Also raise nicer error message when no groups are created.
+ * Fix error in concatenating unlabeled dimensions.
+
+-------------------------------------------------------------------
Old:
----
xarray-0.13.0.tar.gz
New:
----
xarray-0.14.0.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-xarray.spec ++++++
--- /var/tmp/diff_new_pack.yOXuLH/_old 2019-10-24 23:11:42.896700907 +0200
+++ /var/tmp/diff_new_pack.yOXuLH/_new 2019-10-24 23:11:42.896700907 +0200
@@ -19,20 +19,21 @@
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
%define skip_python2 1
Name: python-xarray
-Version: 0.13.0
+Version: 0.14.0
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 >= 1.12}
-BuildRequires: %{python_module pandas >= 0.19.2}
+BuildRequires: %{python_module numpy-devel >= 1.14}
+BuildRequires: %{python_module numpy >= 1.14}
+BuildRequires: %{python_module pandas >= 0.24}
BuildRequires: %{python_module setuptools}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
-Requires: python-numpy >= 1.12
-Requires: python-pandas >= 0.19.2
+Requires: python-numpy >= 1.14
+Requires: python-pandas >= 0.24
Recommends: python-scipy
Provides: python-xray = %{version}
Obsoletes: python-xray < %{version}
@@ -67,7 +68,7 @@
%check
# Tests are xfail on aarch64: gh#pydata/xarray#2334
-%pytest -k "not test_datetime_reduce and not
test_roundtrip_numpy_datetime_data and not test_download_from_github"
+%pytest -k "not test_datetime_reduce and not
test_roundtrip_numpy_datetime_data and not test_download_from_github" xarray
%files %{python_files}
%doc README.rst
++++++ xarray-0.13.0.tar.gz -> xarray-0.14.0.tar.gz ++++++
++++ 12530 lines of diff (skipped)
