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Hello community,
here is the log from the commit of package python-pandas for openSUSE:Factory
checked in at 2021-09-26 21:48:36
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-pandas (Old)
and /work/SRC/openSUSE:Factory/.python-pandas.new.1899 (New)
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Package is "python-pandas"
Sun Sep 26 21:48:36 2021 rev:37 rq:921134 version:1.3.3
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes
2021-08-23 10:07:40.200281372 +0200
+++ /work/SRC/openSUSE:Factory/.python-pandas.new.1899/python-pandas.changes
2021-09-26 21:49:26.142831258 +0200
@@ -1,0 +2,95 @@
+Mon Sep 20 18:28:29 UTC 2021 - Ben Greiner <c...@bnavigator.de>
+
+- Update to version 1.3.3
+ * Fixed regression in DataFrame constructor failing to broadcast
+ for defined Index and len one list of Timestamp (GH42810)
+ * Fixed regression in GroupBy.agg() incorrectly raising in some
+ cases (GH42390)
+ * Fixed regression in GroupBy.apply() where nan values were
+ dropped even with dropna=False (GH43205)
+ * Fixed regression in GroupBy.quantile() which was failing with
+ pandas.NA (GH42849)
+ * Fixed regression in merge() where on columns with
+ ExtensionDtype or bool data types were cast to object in right
+ and outer merge (GH40073)
+ * Fixed regression in RangeIndex.where() and RangeIndex.putmask()
+ raising AssertionError when result did not represent a
+ RangeIndex (GH43240)
+ * Fixed regression in read_parquet() where the fastparquet engine
+ would not work properly with fastparquet 0.7.0 (GH43075)
+ * Fixed regression in DataFrame.loc.__setitem__() raising
+ ValueError when setting array as cell value (GH43422)
+ * Fixed regression in is_list_like() where objects with __iter__
+ set to None would be identified as iterable (GH43373)
+ * Fixed regression in DataFrame.__getitem__() raising error for
+ slice of DatetimeIndex when index is non monotonic (GH43223)
+ * Fixed regression in Resampler.aggregate() when used after
+ column selection would raise if func is a list of aggregation
+ functions (GH42905)
+ * Fixed regression in DataFrame.corr() where Kendall correlation
+ would produce incorrect results for columns with repeated
+ values (GH43401)
+ * Fixed regression in DataFrame.groupby() where aggregation on
+ columns with object types dropped results on those columns
+ (GH42395, GH43108)
+ * Fixed regression in Series.fillna() raising TypeError when
+ filling float Series with list-like fill value having a dtype
+ which couldn???t cast lostlessly (like float32 filled with
+ float64) (GH43424)
+ * Fixed regression in read_csv() raising AttributeError when the
+ file handle is an tempfile.SpooledTemporaryFile object
+ (GH43439)
+ * Fixed performance regression in core.window.ewm.
+ ExponentialMovingWindow.mean() (GH42333)
+ * Performance improvement for DataFrame.__setitem__() when the
+ key or value is not a DataFrame, or key is not list-like
+ (GH43274)
+ * Fixed bug in DataFrameGroupBy.agg() and DataFrameGroupBy.
+ transform() with engine="numba" where index data was not being
+ correctly passed into func (GH43133)
+- Release 1.3.2
+ * Performance regression in DataFrame.isin() and Series.isin()
+ for nullable data types (GH42714)
+ * Regression in updating values of Series using boolean index,
+ created by using DataFrame.pop() (GH42530)
+ * Regression in DataFrame.from_records() with empty records
+ (GH42456)
+ * Fixed regression in DataFrame.shift() where TypeError occurred
+ when shifting DataFrame created by concatenation of slices and
+ fills with values (GH42719)
+ * Regression in DataFrame.agg() when the func argument returned
+ lists and axis=1 (GH42727)
+ * Regression in DataFrame.drop() does nothing if MultiIndex has
+ duplicates and indexer is a tuple or list of tuples (GH42771)
+ * Fixed regression where read_csv() raised a ValueError when
+ parameters names and prefix were both set to None (GH42387)
+ * Fixed regression in comparisons between Timestamp object and
+ datetime64 objects outside the implementation bounds for
+ nanosecond datetime64 (GH42794)
+ * Fixed regression in Styler.highlight_min() and Styler.
+ highlight_max() where pandas.NA was not successfully ignored
+ (GH42650)
+ * Fixed regression in concat() where copy=False was not honored
+ in axis=1 Series concatenation (GH42501)
+ * Regression in Series.nlargest() and Series.nsmallest() with
+ nullable integer or float dtype (GH42816)
+ * Fixed regression in Series.quantile() with Int64Dtype (GH42626)
+ * Fixed regression in Series.groupby() and DataFrame.groupby()
+ where supplying the by argument with a Series named with a
+ tuple would incorrectly raise (GH42731)
+ * Bug in read_excel() modifies the dtypes dictionary when reading
+ a file with duplicate columns (GH42462)
+ * 1D slices over extension types turn into N-dimensional slices
+ over ExtensionArrays (GH42430)
+ * Fixed bug in Series.rolling() and DataFrame.rolling() not
+ calculating window bounds correctly for the first row when
+ center=True and window is an offset that covers all the rows
+ (GH42753)
+ * Styler.hide_columns() now hides the index name header row as
+ well as column headers (GH42101)
+ * Styler.set_sticky() has amended CSS to control the column/index
+ names and ensure the correct sticky positions (GH42537)
+ * Bug in de-serializing datetime indexes in PYTHONOPTIMIZED mode
+ (GH42866)
+
+-------------------------------------------------------------------
Old:
----
pandas-1.3.1.tar.gz
New:
----
pandas-1.3.3.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-pandas.spec ++++++
--- /var/tmp/diff_new_pack.vUWfmi/_old 2021-09-26 21:49:26.646831882 +0200
+++ /var/tmp/diff_new_pack.vUWfmi/_new 2021-09-26 21:49:26.650831886 +0200
@@ -16,7 +16,7 @@
#
-%{?!python_module:%define python_module() python-%{**} python3-%{**}}
+%{?!python_module:%define python_module() python3-%{**}}
%define skip_python2 1
%define skip_python36 1
%global flavor @BUILD_FLAVOR@%{nil}
@@ -28,7 +28,7 @@
%bcond_with test
%endif
Name: python-pandas%{psuffix}
-Version: 1.3.1
+Version: 1.3.3
Release: 0
Summary: Python data structures for data analysis, time series, and
statistics
License: BSD-3-Clause
@@ -42,7 +42,7 @@
BuildRequires: %{python_module numpy-devel >= 1.16.5}
BuildRequires: %{python_module python-dateutil >= 2.7.3}
BuildRequires: %{python_module pytz >= 2017.3}
-BuildRequires: %{python_module setuptools >= 38.6.0}
+BuildRequires: %{python_module setuptools >= 51.0.0}
BuildRequires: fdupes
BuildRequires: gcc-c++
BuildRequires: python-rpm-macros
@@ -192,7 +192,7 @@
%license LICENSE
%doc README.md RELEASE.md
%{python_sitearch}/pandas/
-%{python_sitearch}/pandas-%{version}-py*.egg-info
+%{python_sitearch}/pandas-%{version}*-info
%endif
%changelog
++++++ pandas-1.3.1.tar.gz -> pandas-1.3.3.tar.gz ++++++
++++ 2748 lines of diff (skipped)
