./math/py-pandas, Python Data Analysis Library

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Branch: CURRENT, Version: 2.3.3nb1, Package name: py313-pandas-2.3.3nb1, Maintainer: bad

pandas is an open source, BSD-licensed library providing
high-performance, easy-to-use data structures and data analysis tools
for the Python programming language.


Required to run:
[graphics/py-matplotlib] [devel/py-setuptools] [time/py-dateutil] [time/py-pytz] [databases/py-sqlite3] [math/py-scipy] [math/py-numpy] [math/py-numexpr] [math/py-bottleneck] [lang/python37] [math/py-tables]

Required to build:
[pkgtools/cwrappers] [devel/py-test-runner]

Master sites:

Filesize: 4389.866 KB

Version history: (Expand)

CVS history: (Expand)


   2025-10-31 01:22:22 by Ryo ONODERA | Files touched by this commit (3) 
Log message:
math/py-pandas: Fix segfaults under NetBSD caused by ctype(3) abuse

* Bump PKGREVISION.
   2025-10-09 09:58:14 by Thomas Klausner | Files touched by this commit (442) 
Log message:
*: remove reference to (removed) Python 3.9
   2025-10-03 07:54:28 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-pandas: updated to 2.3.3

2.3.3
Pandas 2.3.3 is now compatible with Python 3.14
Improvements and fixes for the StringDtype
Bug fixes
   2025-08-21 15:44:17 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-pandas: updated to 2.3.2

https://pandas.pydata.org/docs/whatsnew/index.html
   2025-07-03 21:18:12 by Thomas Klausner | Files touched by this commit (92) 
Log message:
*: py-numpy needs Python >= 3.11 now
   2024-11-07 16:07:41 by Thomas Klausner | Files touched by this commit (2) | Package updated
Log message:
py-pandas: update to 2.2.3.

Pandas 2.2.3 is the first version of pandas that is generally
compatible with the upcoming Python 3.13, and both wheels for
free-threaded and normal Python 3.13 will be uploaded for this
release.
   2024-10-14 08:46:10 by Thomas Klausner | Files touched by this commit (325) 
Log message:
*: clean-up after python38 removal
   2024-04-15 10:10:23 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
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)