- Update to 2.1.3:

* Reverted deprecation of fill_method=None in DataFrame.pct_change(),
    Series.pct_change(), DataFrameGroupBy.pct_change(), and
    SeriesGroupBy.pct_change(); the values 'backfill', 'bfill', 'pad', and
    'ffill' are still deprecated
  * Fixed regressions
    + Fixed infinite recursion from operations that return a new object on
      some DataFrame subclasses
    + Fixed regression in DataFrame.join() where result has missing values
      and dtype is arrow backed string
    + Fixed regression in rolling() where non-nanosecond index or on column
      would produce incorrect results
    + Fixed regression in DataFrame.resample() which was extrapolating back
      to origin when origin was outside its bounds
    + Fixed regression in DataFrame.sort_index() which was not sorting
      correctly when the index was a sliced MultiIndex
    + Fixed regression in DataFrameGroupBy.agg() and SeriesGroupBy.agg()
      where if the option compute.use_numba was set to True, groupby methods
      not supported by the numba engine would raise a TypeError
    + Fixed performance regression with wide DataFrames, typically
      involving methods where all columns were accessed individually
    + Fixed regression in merge_asof() raising TypeError for by with
      datetime and timedelta dtypes
    + Fixed regression in read_parquet() when reading a file with a string
      column consisting of more than 2 GB of string data and using the
      "string" dtype
    + Fixed regression in DataFrame.to_sql() not roundtripping datetime
      columns correctly for sqlite when using detect_types
    + Fixed regression in construction of certain DataFrame or Series
      subclasses

OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=102

_service

@@ -2,7 +2,7 @@
   <service name="tar_scm" mode="disabled">
     <param name="url">https://github.com/pandas-dev/pandas.git</param>
     <param name="scm">git</param>
-    <param name="revision">v2.1.1</param>
+    <param name="revision">v2.1.3</param>
     <param name="versionformat">@PARENT_TAG@</param>
     <param name="versionrewrite-pattern">v(.*)</param>
     <param name="filename">pandas</param>

pandas-2.1.1.tar.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1fc9b67330b96dcb365a7b85feef701ab151928e0a3ed1a9bca1a086e878a04b
-size 47820702

pandas-2.1.3.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e60b3105892bef40843b8d29345f35e9855d5bfedbd04030965607811c46d98
+size 49603896

python-pandas.changes

@@ -1,3 +1,70 @@
+-------------------------------------------------------------------
+Fri Dec  1 03:25:23 UTC 2023 - Steve Kowalik <steven.kowalik@suse.com>
+
+- Update to 2.1.3:
+  * Reverted deprecation of fill_method=None in DataFrame.pct_change(),
+    Series.pct_change(), DataFrameGroupBy.pct_change(), and
+    SeriesGroupBy.pct_change(); the values 'backfill', 'bfill', 'pad', and
+    'ffill' are still deprecated
+  * Fixed regressions
+    + Fixed infinite recursion from operations that return a new object on
+      some DataFrame subclasses
+    + Fixed regression in DataFrame.join() where result has missing values
+      and dtype is arrow backed string
+    + Fixed regression in rolling() where non-nanosecond index or on column
+      would produce incorrect results
+    + Fixed regression in DataFrame.resample() which was extrapolating back
+      to origin when origin was outside its bounds
+    + Fixed regression in DataFrame.sort_index() which was not sorting
+      correctly when the index was a sliced MultiIndex
+    + Fixed regression in DataFrameGroupBy.agg() and SeriesGroupBy.agg()
+      where if the option compute.use_numba was set to True, groupby methods
+      not supported by the numba engine would raise a TypeError
+    + Fixed performance regression with wide DataFrames, typically
+      involving methods where all columns were accessed individually
+    + Fixed regression in merge_asof() raising TypeError for by with
+      datetime and timedelta dtypes
+    + Fixed regression in read_parquet() when reading a file with a string
+      column consisting of more than 2 GB of string data and using the
+      "string" dtype
+    + Fixed regression in DataFrame.to_sql() not roundtripping datetime
+      columns correctly for sqlite when using detect_types
+    + Fixed regression in construction of certain DataFrame or Series
+      subclasses
+  * Bug fixes
+    + Bug in DatetimeIndex.diff() raising TypeError
+    + Bug in Index.isin() raising for Arrow backed string and None value
+    + Fix read_parquet() and read_feather() for CVE-2023-47248
+    + Fixed bug in DataFrameGroupBy reductions not preserving object dtype
+      when infer_string is set
+    + Fixed bug in SeriesGroupBy.value_counts() returning incorrect dtype for
+      string columns
+    + Fixed bug in Categorical.equals() if other has arrow backed string dtype
+    + Fixed bug in DataFrame.__setitem__() not inferring string dtype for
+      zero-dimensional array with infer_string=True
+    + Fixed bug in DataFrame.idxmin() and DataFrame.idxmax() raising for
+      arrow dtypes
+    + Fixed bug in DataFrame.interpolate() raising incorrect error message
+    + Fixed bug in Index.insert() raising when inserting None into Index with
+      dtype="string[pyarrow_numpy]"
+    + Fixed bug in Series.all() and Series.any() not treating missing values
+      correctly for dtype="string[pyarrow_numpy]"
+    + Fixed bug in Series.floordiv() for ArrowDtype
+    + Fixed bug in Series.mode() not sorting values for arrow backed string
+      dtype
+    + Fixed bug in Series.rank() for string[pyarrow_numpy] dtype
+    + Fixed bug in Series.str.extractall() for ArrowDtype dtype being
+      converted to object
+    + Fixed bug where PDEP-6 warning about setting an item of an
+      incompatible dtype was being shown when creating a new conditional
+      column
+    + Silence Period[B] warnings introduced by GH 53446 during normal
+      plotting activity
+    + Fixed bug in Series constructor not inferring string dtype when NA is
+      the first value and infer_string is set
+- Prepare for Python 3.12, include the flavor check.
+- Unpin Cython, upstream has moved onto 3.
+
 -------------------------------------------------------------------
 Sat Oct 14 03:55:05 UTC 2023 - Bernhard Wiedemann <bwiedemann@suse.com>
 

python-pandas.spec

@@ -21,18 +21,28 @@
 %define psuffix -test-py39
 %define skip_python310 1
 %define skip_python311 1
+%define skip_python312 1
 %bcond_without test
 %endif
 %if "%{flavor}" == "test-py310"
 %define psuffix -test-py310
 %define skip_python39 1
 %define skip_python311 1
+%define skip_python312 1
 %bcond_without test
 %endif
 %if "%{flavor}" == "test-py311"
 %define psuffix -test-py311
 %define skip_python39 1
 %define skip_python310 1
+%define skip_python312 1
+%bcond_without test
+%endif
+%if "%{flavor}" == "test-py312"
+%define psuffix -test-py312
+%define skip_python39 1
+%define skip_python310 1
+%define skip_python311 1
 %bcond_without test
 %endif
 %if "%{flavor}" == ""
@@ -53,16 +63,15 @@
 %{?sle15_python_module_pythons}
 Name:           python-pandas%{psuffix}
 # Set version through _service
-Version:        2.1.1
+Version:        2.1.3
 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/
 # SourceRepository: https://github.com/pandas-dev/pandas
 # Must be created by cloning through `osc service runall`: gh#pandas-dev/pandas#54903, gh#pandas-dev/pandas#54907
 Source0:        pandas-%{version}.tar.gz
-BuildRequires:  %{python_module Cython >= 0.29.33 with %python-Cython < 3}
+BuildRequires:  %{python_module Cython}
 BuildRequires:  %{python_module devel >= 3.9}
 BuildRequires:  %{python_module meson-python >= 0.13.1}
 BuildRequires:  %{python_module numpy-devel >= 1.23.2 if %python-base < 3.12 else %python-numpy-devel >= 1.26}