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
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9
derived packages
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osc -A https://api.opensuse.org checkout openSUSE:Leap:16.0:FactoryCandidates/python-pandas && cd $_
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Source Files
Filename | Size | Changed |
---|---|---|
_constraints | 0000000163 163 Bytes | |
_multibuild | 0000000123 123 Bytes | |
_service | 0000000605 605 Bytes | |
pandas-2.2.2.tar.gz | 0050782448 48.4 MB | |
pandas-pr58269-pyarrow16xpass.patch | 0000001537 1.5 KB | |
pandas-pr58484-matplotlib.patch | 0000002765 2.7 KB | |
pandas-pr59175-matplotlib.patch | 0000001159 1.13 KB | |
pandas-pr59353-np2eval.patch | 0000006019 5.88 KB | |
python-pandas.changes | 0000228750 223 KB | |
python-pandas.spec | 0000024078 23.5 KB | |
tests-nomkl.patch | 0000003151 3.08 KB | |
tests-npdev.patch | 0000003125 3.05 KB | |
tests-timedelta.patch | 0000002574 2.51 KB | |
tests-wasm.patch | 0000004198 4.1 KB |
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