Accepting request 1104661 from devel:languages:python:numeric

- update to 2.0.3:
  * Bug in Timestamp.weekday`() was returning incorrect results
    before '0000-02-29'
  * Fixed performance regression in merging on datetime-like columns
  * Fixed regression when DataFrame.to_string() creates extra space
    for string dtypes
  * Bug in DataFrame.convert_dtype() and Series.convert_dtype()
    when trying to convert ArrowDtype with dtype_backend="nullable_numpy"
  * Bug in RangeIndex.union() when using sort=True with another
    RangeIndex 
  * Bug in Series.reindex() when expanding a non-nanosecond datetime
    or timedelta
  * Bug in read_csv() when defining dtype with bool[pyarrow] for
    the "c" and "python" engines 
  * Bug in Series.str.split() and Series.str.rsplit() with expand=True 
  * Bug in indexing methods (e.g. DataFrame.__getitem__()) where
    taking the entire DataFrame/Series would raise an OverflowError
    when Copy on Write was enabled the length of the array was over
    the maximum size a 32-bit integer can hold
  * Bug when constructing a DataFrame with columns of an ArrowDtype
    with a pyarrow.dictionary type that reindexes the data
  * Bug when indexing a DataFrame or Series with an Index with a
    timestamp ArrowDtype would raise an AttributeError
- drop pandas-fix-tests.patch (upstream)

OBS-URL: https://build.opensuse.org/request/show/1104661
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=53

pandas-2.0.2-gh.tar.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:44f41cb263726716ff513081bf57ea62fec704f367e3fc8adb15e54991c98273
-size 14036944

pandas-2.0.3-gh.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7ea4798650316b2c45cf801ff02e3d6e79614696c8f0731b24715aad9969516
+size 14041853

pandas-fix-tests.patch

@@ -1,28 +0,0 @@
---- pandas-2.0.2/pandas/tests/frame/indexing/test_setitem.py.orig	2023-06-22 09:00:10.272775300 +0200
-+++ pandas-2.0.2/pandas/tests/frame/indexing/test_setitem.py	2023-06-22 09:00:48.663682100 +0200
-@@ -61,7 +61,8 @@ class TestDataFrameSetItem:
-         "dtype", ["int32", "int64", "uint32", "uint64", "float32", "float64"]
-     )
-     def test_setitem_dtype(self, dtype, float_frame):
--        arr = np.random.randn(len(float_frame))
-+        # Use randint since casting negative floats to uints is undefined
-+        arr = np.random.randint(1, 10, len(float_frame))
- 
-         float_frame[dtype] = np.array(arr, dtype=dtype)
-         assert float_frame[dtype].dtype.name == dtype
---- pandas-2.0.2/pandas/tests/series/methods/test_nlargest.py.orig	2023-06-22 09:02:58.788342500 +0200
-+++ pandas-2.0.2/pandas/tests/series/methods/test_nlargest.py	2023-06-22 09:03:26.743975800 +0200
-@@ -217,7 +217,12 @@ class TestSeriesNLargestNSmallest:
-     def test_nlargest_nullable(self, any_numeric_ea_dtype):
-         # GH#42816
-         dtype = any_numeric_ea_dtype
--        arr = np.random.randn(10).astype(dtype.lower(), copy=False)
-+        if dtype.startswith("UInt"):
-+            # Can't cast from negative float to uint on some platforms
-+            arr = np.random.randint(1, 10, 10)
-+        else:
-+            arr = np.random.randn(10)
-+        arr = arr.astype(dtype.lower(), copy=False)
- 
-         ser = Series(arr.copy(), dtype=dtype)
-         ser[1] = pd.NA

python-pandas.changes

@@ -1,3 +1,31 @@
+-------------------------------------------------------------------
+Sun Aug 13 21:50:37 UTC 2023 - Dirk Müller <dmueller@suse.com>
+
+- update to 2.0.3:
+  * Bug in Timestamp.weekday`() was returning incorrect results
+    before '0000-02-29'
+  * Fixed performance regression in merging on datetime-like columns
+  * Fixed regression when DataFrame.to_string() creates extra space
+    for string dtypes
+  * Bug in DataFrame.convert_dtype() and Series.convert_dtype()
+    when trying to convert ArrowDtype with dtype_backend="nullable_numpy"
+  * Bug in RangeIndex.union() when using sort=True with another
+    RangeIndex 
+  * Bug in Series.reindex() when expanding a non-nanosecond datetime
+    or timedelta
+  * Bug in read_csv() when defining dtype with bool[pyarrow] for
+    the "c" and "python" engines 
+  * Bug in Series.str.split() and Series.str.rsplit() with expand=True 
+  * Bug in indexing methods (e.g. DataFrame.__getitem__()) where
+    taking the entire DataFrame/Series would raise an OverflowError
+    when Copy on Write was enabled the length of the array was over
+    the maximum size a 32-bit integer can hold
+  * Bug when constructing a DataFrame with columns of an ArrowDtype
+    with a pyarrow.dictionary type that reindexes the data
+  * Bug when indexing a DataFrame or Series with an Index with a
+    timestamp ArrowDtype would raise an AttributeError
+- drop pandas-fix-tests.patch (upstream)
+
 -------------------------------------------------------------------
 Thu Jun 22 09:36:06 UTC 2023 - Guillaume GARDET <guillaume.gardet@opensuse.org>
 

python-pandas.spec

@@ -51,7 +51,7 @@
 
 %{?sle15_python_module_pythons}
 Name:           python-pandas%{psuffix}
-Version:        2.0.2
+Version:        2.0.3
 Release:        0
 Summary:        Python data structures for data analysis, time series, and statistics
 License:        BSD-3-Clause
@@ -60,8 +60,6 @@ URL:            https://pandas.pydata.org/
 # Use GitHub Archive: Test-data
 Source0:        https://github.com/pandas-dev/pandas/archive/refs/tags/v%{version}.tar.gz#/pandas-%{version}-gh.tar.gz
 # SourceRepository: https://github.com/pandas-dev/pandas
-# https://github.com/pandas-dev/pandas/issues/53791#issuecomment-1602320315
-Patch1:         pandas-fix-tests.patch
 BuildRequires:  %{python_module Cython >= 0.29.33 with %python-Cython < 3}
 BuildRequires:  %{python_module devel >= 3.8}
 BuildRequires:  %{python_module numpy-devel >= 1.20.3}