Hello community,

here is the log from the commit of package python-pandas for openSUSE:Factory 
checked in at 2019-09-04 09:03:33
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-pandas (Old)
 and      /work/SRC/openSUSE:Factory/.python-pandas.new.7948 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-pandas"

Wed Sep  4 09:03:33 2019 rev:19 rq:727291 version:0.25.1

Changes:
--------
--- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes      
2019-08-19 20:48:20.613086190 +0200
+++ /work/SRC/openSUSE:Factory/.python-pandas.new.7948/python-pandas.changes    
2019-09-04 09:03:35.919036093 +0200
@@ -1,0 +2,56 @@
+Wed Aug 28 15:32:47 UTC 2019 - Todd R <toddrme2...@gmail.com>
+
+- Update to version 0.25.1
+  + Bug fixes
+    > Categorical
+      * Bug in :meth:`Categorical.fillna` that would replace all values, not 
just those that are ``NaN``
+    > Datetimelike
+      * Bug in :func:`to_datetime` where passing a timezone-naive 
:class:`DatetimeArray` or :class:`DatetimeIndex` and ``utc=True`` would 
incorrectly return a timezone-naive result
+      * Bug in :meth:`Period.to_timestamp` where a :class:`Period` outside the 
:class:`Timestamp` implementation bounds (roughly 1677-09-21 to 2262-04-11) 
would return an incorrect :class:`Timestamp` instead of raising 
``OutOfBoundsDatetime``
+      * Bug in iterating over :class:`DatetimeIndex` when the underlying data 
is read-only
+    > Timezones
+      * Bug in :class:`Index` where a numpy object array with a timezone aware 
:class:`Timestamp` and ``np.nan`` would not return a :class:`DatetimeIndex`
+    > Numeric
+      * Bug in :meth:`Series.interpolate` when using a timezone aware 
:class:`DatetimeIndex`
+      * Bug when printing negative floating point complex numbers would raise 
an ``IndexError``
+      * Bug where :class:`DataFrame` arithmetic operators such as 
:meth:`DataFrame.mul` with a :class:`Series` with axis=1 would raise an 
``AttributeError`` on :class:`DataFrame` larger than the minimum threshold to 
invoke numexpr
+      * Bug in :class:`DataFrame` arithmetic where missing values in results 
were incorrectly masked with ``NaN`` instead of ``Inf``
+    > Conversion
+      * Improved the warnings for the deprecated methods :meth:`Series.real` 
and :meth:`Series.imag`
+    > Interval
+      * Bug in :class:`IntervalIndex` where `dir(obj)` would raise 
``ValueError``
+    > Indexing
+      * Bug in partial-string indexing returning a NumPy array rather than a 
``Series`` when indexing with a scalar like ``.loc['2015']``
+      * Break reference cycle involving :class:`Index` and other index classes 
to allow garbage collection of index objects without running the GC.
+      * Fix regression in assigning values to a single column of a DataFrame 
with a ``MultiIndex`` columns.
+      * Fix regression in ``.ix`` fallback with an ``IntervalIndex``.
+    > Missing
+      * Bug in :func:`pandas.isnull` or :func:`pandas.isna` when the input is 
a type e.g. ``type(pandas.Series())``
+    > I/O
+      * Avoid calling ``S3File.s3`` when reading parquet, as this was removed 
in s3fs version 0.3.0
+      * Better error message when a negative header is passed in 
:func:`pandas.read_csv`
+      * Follow the ``min_rows`` display option (introduced in v0.25.0) 
correctly in the HTML repr in the notebook.
+    > Plotting
+      * Added a ``pandas_plotting_backends`` entrypoint group for registering 
plot backends. See :ref:`extending.plotting-backends` for more.
+      * Fixed the re-instatement of Matplotlib datetime converters after 
calling
+        :meth:`pandas.plotting.deregister_matplotlib_converters`.
+      * Fix compatibility issue with matplotlib when passing a pandas 
``Index`` to a plot call.
+    > Groupby/resample/rolling
+      * Fixed regression in 
:meth:`pands.core.groupby.DataFrameGroupBy.quantile` raising when multiple 
quantiles are given
+      * Bug in :meth:`pandas.core.groupby.DataFrameGroupBy.transform` where 
applying a timezone conversion lambda function would drop timezone information
+      * Bug in :meth:`pandas.core.groupby.GroupBy.nth` where 
``observed=False`` was being ignored for Categorical groupers
+      * Bug in windowing over read-only arrays
+      * Fixed segfault in `pandas.core.groupby.DataFrameGroupBy.quantile` when 
an invalid quantile was passed
+    > Reshaping
+      * A ``KeyError`` is now raised if ``.unstack()`` is called on a 
:class:`Series` or :class:`DataFrame` with a flat :class:`Index` passing a name 
which is not the correct one
+      * Bug :meth:`merge_asof` could not merge :class:`Timedelta` objects when 
passing `tolerance` kwarg
+      * Bug in :meth:`DataFrame.crosstab` when ``margins`` set to ``True`` and 
``normalize`` is not ``False``, an error is raised.
+      * :meth:`DataFrame.join` now suppresses the ``FutureWarning`` when the 
sort parameter is specified
+      * Bug in :meth:`DataFrame.join` raising with readonly arrays
+    > Sparse
+      * Bug in reductions for :class:`Series` with Sparse dtypes
+    > Other
+      * Bug in :meth:`Series.replace` and :meth:`DataFrame.replace` when 
replacing timezone-aware timestamps using a dict-like replacer
+      * Bug in :meth:`Series.rename` when using a custom type indexer. Now any 
value that isn't callable or dict-like is treated as a scalar.
+
+-------------------------------------------------------------------

Old:
----
  pandas-0.25.0.tar.gz

New:
----
  pandas-0.25.1.tar.gz

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ python-pandas.spec ++++++
--- /var/tmp/diff_new_pack.FEWXVw/_old  2019-09-04 09:03:37.007035942 +0200
+++ /var/tmp/diff_new_pack.FEWXVw/_new  2019-09-04 09:03:37.011035942 +0200
@@ -19,7 +19,7 @@
 %{?!python_module:%define python_module() python-%{**} python3-%{**}}
 %define         skip_python2 1
 Name:           python-pandas
-Version:        0.25.0
+Version:        0.25.1
 Release:        0
 Summary:        Python data structures for data analysis, time series, and 
statistics
 License:        BSD-3-Clause
@@ -93,6 +93,8 @@
 %prep
 %setup -q -n pandas-%{version}
 sed -i -e '/^#!\//, 1d' pandas/core/computation/eval.py
+sed -i -e '/^#!\//, 1d' pandas/tests/io/generate_legacy_storage_files.py
+sed -i -e '/^#!\//, 1d' pandas/tests/plotting/common.py
 
 %build
 export CFLAGS="%{optflags} -fno-strict-aliasing"
@@ -100,6 +102,7 @@
 
 %install
 %python_install
+%python_expand sed -i -e 's|"python", "-c",|"%{__$python}", "-c",|' 
%{buildroot}%{$python_sitearch}/pandas/tests/io/test_compression.py
 %python_expand %fdupes %{buildroot}%{$python_sitearch}
 
 %check
@@ -108,9 +111,12 @@
 export http_proxy=http://1.2.3.4 https_proxy=http://1.2.3.4;
 export LANG=en_US.UTF-8
 export LC_ALL=en_US.UTF-8
+export PYTHONDONTWRITEBYTECODE=1
+mv pandas pandas_temp
 %{python_expand export PYTHONPATH=%{buildroot}%{$python_sitearch}
 xvfb-run py.test-%{$python_version} -v 
%{buildroot}%{$python_sitearch}/pandas/tests -k 'not test_oo_optimizable'
 }
+mv pandas_temp pandas
 
 %files %{python_files}
 %license LICENSE

++++++ pandas-0.25.0.tar.gz -> pandas-0.25.1.tar.gz ++++++
/work/SRC/openSUSE:Factory/python-pandas/pandas-0.25.0.tar.gz 
/work/SRC/openSUSE:Factory/.python-pandas.new.7948/pandas-0.25.1.tar.gz differ: 
char 5, line 1


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