This is a major release from 0.21.1 and includes a single, API-breaking change. We recommend that all users upgrade to this version after carefully reading the release note.
The only changes are:
Series
is now 0
Series
is now 1
min_count
parameter to .sum()
and .prod()
controlling
the minimum number of valid values for the result to be valid. If fewer than
min_count
non-NA values are present, the result is NA. The default is
0
. To return NaN
, the 0.21 behavior, use min_count=1
.See the pandas 0.22.0 whatsnew overview for further explanation of all the places in the library this affects.
- Tom
---
What is it:
pandas
is a Python package providing fast, flexible, and expressive data
structures designed to make working with “relational” or “labeled” data
both easy and intuitive. It aims to be the fundamental high-level
building block for doing practical, real world data analysis in Python.
Additionally, it has the broader goal of becoming the most powerful and
flexible open source data analysis / manipulation tool available in any
language.
How to get it:
Source
tarballs and windows/mac/linux wheels are available on PyPI (thanks to
Christoph Gohlke for the Windows wheels, and to Matthew Brett for
setting up the Mac / Linux wheels).