Make working with "relational" or "labeled" data both easy and intuitive
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.
- Developed at devel:languages:python:numeric
- Sources inherited from project openSUSE:Factory
-
9
derived packages
- Download package
-
Checkout Package
osc -A https://api.opensuse.org checkout openSUSE:Factory:Rebuild/python-pandas && cd $_ - Create Badge
Refresh
Refresh
Source Files
| Filename | Size | Changed |
|---|---|---|
| pandas-0.23.0.tar.gz | 0013092442 12.5 MB | |
| python-pandas.changes | 0000075908 74.1 KB | |
| python-pandas.spec | 0000004081 3.99 KB |
Revision 10 (latest revision is 72)
Dominique Leuenberger (dimstar_suse)
accepted
request 610084
from
Tomáš Chvátal (scarabeus_iv)
(revision 10)
- Update to 0.23.0: * Round-trippable JSON format with ‘table’ orient. * Instantiation from dicts respects order for Python 3.6+. * Dependent column arguments for assign. * Merging / sorting on a combination of columns and index levels. * Extending Pandas with custom types. * Excluding unobserved categories from groupby. * Changes to make output shape of DataFrame.apply consistent. - Do not bother generating pandas doc if it is already in both html and pdf provided by upstream, just point to the URL
Comments 0