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.
- Links to devel:langua...thon:numeric / python-pandas
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osc -A https://api.opensuse.org checkout home:bnavigator:numpy/python-pandas && cd $_
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Source Files (show unmerged sources)
Filename | Size | Changed |
---|---|---|
_constraints | 0000000163 163 Bytes | |
_multibuild | 0000000162 162 Bytes | |
_service | 0000000605 605 Bytes | |
pandas-2.2.2.tar.gz | 0050782448 48.4 MB | |
pandas-pr58269-pyarrow16xpass.patch | 0000001537 1.5 KB | |
python-pandas.changes | 0000227605 222 KB | |
python-pandas.spec | 0000023222 22.7 KB |
Latest Revision
Benjamin Greiner (bnavigator)
committed
(revision 21)
- Revert the python310 skip
Comments 1
https://github.com/pydata/numexpr/issues/483