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Hello community,
here is the log from the commit of package python-pandas for openSUSE:Factory
checked in at 2022-09-17 20:08:09
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-pandas (Old)
and /work/SRC/openSUSE:Factory/.python-pandas.new.2083 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-pandas"
Sat Sep 17 20:08:09 2022 rev:44 rq:1002729 version:1.4.4
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes
2022-07-12 11:12:06.919672995 +0200
+++ /work/SRC/openSUSE:Factory/.python-pandas.new.2083/python-pandas.changes
2022-09-17 20:08:11.868786095 +0200
@@ -1,0 +2,68 @@
+Sat Sep 10 13:25:41 UTC 2022 - Arun Persaud <a...@gmx.de>
+
+- specfile:
+ * update required version
+
+- update to version 1.4.4:
+ * Fixed regressions
+ + Fixed regression in DataFrame.fillna() not working on a
+ DataFrame with a MultiIndex (GH47649)
+ + Fixed regression in taking NULL objects from a DataFrame causing
+ a segmentation violation. These NULL values are created by
+ numpy.empty_like() (GH46848)
+ + Fixed regression in concat() materializing the Index during
+ sorting even if the Index was already sorted (GH47501)
+ + Fixed regression in concat() or merge() handling of all-NaN
+ ExtensionArrays with custom attributes (GH47762)
+ + Fixed regression in calling bitwise numpy ufuncs (for example,
+ np.bitwise_and) on Index objects (GH46769)
+ + Fixed regression in cut() when using a datetime64 IntervalIndex
+ as bins (GH46218)
+ + Fixed regression in DataFrame.select_dtypes() where
+ include="number" included BooleanDtype (GH46870)
+ + Fixed regression in DataFrame.loc() raising error when indexing
+ with a NamedTuple (GH48124)
+ + Fixed regression in DataFrame.loc() not updating the cache
+ correctly after values were set (GH47867)
+ + Fixed regression in DataFrame.loc() not aligning index in some
+ cases when setting a DataFrame (GH47578)
+ + Fixed regression in DataFrame.loc() setting a length-1 array
+ like value to a single value in the DataFrame (GH46268)
+ + Fixed regression when slicing with DataFrame.loc() with
+ DatetimeIndex with a DateOffset object for its freq (GH46671)
+ + Fixed regression in setting None or non-string value into a
+ string-dtype Series using a mask (GH47628)
+ + Fixed regression in updating a DataFrame column through Series
+ __setitem__ (using chained assignment) not updating column
+ values inplace and using too much memory (GH47172)
+ + Fixed regression in DataFrame.select_dtypes() returning a view
+ on the original DataFrame (GH48090)
+ + Fixed regression using custom Index subclasses (for example,
+ used in xarray) with reset_index() or Index.insert() (GH47071)
+ + Fixed regression in intersection() when the DatetimeIndex has
+ dates crossing daylight savings time (GH46702)
+ + Fixed regression in merge() throwing an error when passing a
+ Series with a multi-level name (GH47946)
+ + Fixed regression in DataFrame.eval() creating a copy when
+ updating inplace (GH47449)
+ + Fixed regression where getting a row using DataFrame.iloc() with
+ SparseDtype would raise (GH46406)
+ * Bug fixes
+ + The FutureWarning raised when passing arguments (other than
+ filepath_or_buffer) as positional in read_csv() is now raised at
+ the correct stacklevel (GH47385)
+ + Bug in DataFrame.to_sql() when method was a callable that did
+ not return an int and would raise a TypeError (GH46891)
+ + Bug in DataFrameGroupBy.value_counts() where subset had no
+ effect (GH46383)
+ + Bug when getting values with DataFrame.loc() with a list of keys
+ causing an internal inconsistency that could lead to a
+ disconnect between frame.at[x, y] vs frame[y].loc[x] (GH22372)
+ + Bug in the Series.dt.strftime() accessor return a float instead
+ of object dtype Series for all-NaT input, which also causes a
+ spurious deprecation warning (GH45858)
+ * Other
+ + The minimum version of Cython needed to compile pandas is now
+ 0.29.32 (GH47978)
+
+-------------------------------------------------------------------
Old:
----
pandas-1.4.3.tar.gz
New:
----
pandas-1.4.4.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-pandas.spec ++++++
--- /var/tmp/diff_new_pack.SVI62N/_old 2022-09-17 20:08:12.376787561 +0200
+++ /var/tmp/diff_new_pack.SVI62N/_new 2022-09-17 20:08:12.380787572 +0200
@@ -42,14 +42,14 @@
%{?!python_module:%define python_module() python3-%{**}}
%define skip_python2 1
Name: python-pandas%{psuffix}
-Version: 1.4.3
+Version: 1.4.4
Release: 0
Summary: Python data structures for data analysis, time series, and
statistics
License: BSD-3-Clause
Group: Development/Libraries/Python
URL: https://pandas.pydata.org/
Source0:
https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
-BuildRequires: %{python_module Cython >= 0.29.24}
+BuildRequires: %{python_module Cython >= 0.29.32}
BuildRequires: %{python_module Jinja2}
BuildRequires: %{python_module devel >= 3.8}
BuildRequires: %{python_module numpy-devel >= 1.18.5}
@@ -100,7 +100,7 @@
BuildRequires: %{python_module SQLAlchemy >= 1.4.0}
BuildRequires: %{python_module XlsxWriter >= 1.2.2}
BuildRequires: %{python_module beautifulsoup4 >= 4.8.2}
-BuildRequires: %{python_module hypothesis}
+BuildRequires: %{python_module hypothesis >= 5.5.3}
BuildRequires: %{python_module lxml >= 4.5.0}
BuildRequires: %{python_module matplotlib >= 3.3.2}
BuildRequires: %{python_module numexpr >= 2.7.1}
@@ -109,7 +109,7 @@
BuildRequires: %{python_module pytest >= 6.0}
BuildRequires: %{python_module pytest-asyncio >= 0.17}
BuildRequires: %{python_module pytest-mock}
-BuildRequires: %{python_module pytest-xdist}
+BuildRequires: %{python_module pytest-xdist >= 1.31}
BuildRequires: %{python_module scipy >= 1.4.1}
BuildRequires: %{python_module xlrd >= 2.0.1}
BuildRequires: memory-constraints
++++++ pandas-1.4.3.tar.gz -> pandas-1.4.4.tar.gz ++++++
++++ 1770 lines of diff (skipped)
