CVS commit: pkgsrc/math/py-pandas

["Adam Ciarcinski" <adam%netbsd.org@localhost>]

Module Name:    pkgsrc
Committed By:   adam
Date:           Mon Apr 15 08:10:23 UTC 2024

Modified Files:
        pkgsrc/math/py-pandas: Makefile distinfo

Log Message:
py-pandas: updated to 2.2.2

Pandas 2.2.2 is now compatible with numpy 2.0

Pandas 2.2.2 is the first version of pandas that is generally compatible with the upcoming numpy 2.0 release, and wheels for pandas 2.2.2 will work with both numpy 1.x and 2.x.

One major caveat is that arrays created with numpy 2.0’s new StringDtype will convert to object dtyped arrays upon Series/DataFrame creation. Full support for numpy 2.0’s StringDtype is expected to 
land in pandas 3.0.

As usual please report any bugs discovered to our issue tracker

Fixed regressions

DataFrame.__dataframe__() was producing incorrect data buffers when the a column’s type was a pandas nullable on with missing values (GH 56702)
DataFrame.__dataframe__() was producing incorrect data buffers when the a column’s type was a pyarrow nullable on with missing values (GH 57664)
Avoid issuing a spurious DeprecationWarning when a custom DataFrame or Series subclass method is called (GH 57553)
Fixed regression in precision of to_datetime() with string and unit input (GH 57051)
Bug fixes

DataFrame.__dataframe__() was producing incorrect data buffers when the column’s type was nullable boolean (GH 55332)
DataFrame.__dataframe__() was showing bytemask instead of bitmask for 'string[pyarrow]' validity buffer (GH 57762)
DataFrame.__dataframe__() was showing non-null validity buffer (instead of None) 'string[pyarrow]' without missing values (GH 57761)
DataFrame.to_sql() was failing to find the right table when using the schema argument (GH 57539)


To generate a diff of this commit:
cvs rdiff -u -r1.59 -r1.60 pkgsrc/math/py-pandas/Makefile
cvs rdiff -u -r1.41 -r1.42 pkgsrc/math/py-pandas/distinfo

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

Modified files:

Index: pkgsrc/math/py-pandas/Makefile
diff -u pkgsrc/math/py-pandas/Makefile:1.59 pkgsrc/math/py-pandas/Makefile:1.60
--- pkgsrc/math/py-pandas/Makefile:1.59 Wed Mar  6 18:56:35 2024
+++ pkgsrc/math/py-pandas/Makefile      Mon Apr 15 08:10:23 2024
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.59 2024/03/06 18:56:35 adam Exp $
+# $NetBSD: Makefile,v 1.60 2024/04/15 08:10:23 adam Exp $
 
-DISTNAME=      pandas-2.2.1
+DISTNAME=      pandas-2.2.2
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math graphics python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=p/pandas/}

Index: pkgsrc/math/py-pandas/distinfo
diff -u pkgsrc/math/py-pandas/distinfo:1.41 pkgsrc/math/py-pandas/distinfo:1.42
--- pkgsrc/math/py-pandas/distinfo:1.41 Wed Mar  6 18:56:35 2024
+++ pkgsrc/math/py-pandas/distinfo      Mon Apr 15 08:10:23 2024
@@ -1,7 +1,7 @@
-$NetBSD: distinfo,v 1.41 2024/03/06 18:56:35 adam Exp $
+$NetBSD: distinfo,v 1.42 2024/04/15 08:10:23 adam Exp $
 
-BLAKE2s (pandas-2.2.1.tar.gz) = fea4f7de834da1a55ea03f6b04a182b870ed49ecec60791a28b1bd5923a1b67c
-SHA512 (pandas-2.2.1.tar.gz) = 8e6af4793d8b77e5c86a22c88f999dba63b1cc1954f5148bdb8c9b1bfe4e7fc5004de7d0f035b2d651f56c44b28ba4b0bd304f9c9122426cc37fb97596e13746
-Size (pandas-2.2.1.tar.gz) = 4395256 bytes
+BLAKE2s (pandas-2.2.2.tar.gz) = 5f5b3070589c290134877a76a2593bee2a97158bbbff0cd22a97dc764ac60da0
+SHA512 (pandas-2.2.2.tar.gz) = 85b006f96bd6400aeea2ec29df3557ea6c4bfee0a7aebb172547a43171dc0e7682d15f798081846a4f464559ab83f579cfe06d66d4b5c0cb0fb2975c2ef98f9c
+Size (pandas-2.2.2.tar.gz) = 4398391 bytes
 SHA1 (patch-meson.build) = f802806a1ec2de5f466eb29c3037c54cbf9971b1
 SHA1 (patch-pandas___libs_window_aggregations.pyx) = 65e3ec2b165de00b23550a989c5eb77c81c759f3