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
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Source Files
| Filename | Size | Changed |
|---|---|---|
| _constraints | 0000000132 132 Bytes | |
| gcc10-skip-one-test.patch | 0000000486 486 Bytes | |
| pandas-1.0.5.tar.gz | 0005007108 4.78 MB | |
| python-pandas.changes | 0000142894 140 KB | |
| python-pandas.spec | 0000005653 5.52 KB |
Revision 27 (latest revision is 72)
Dominique Leuenberger (dimstar_suse)
accepted
request 817948
from
Matej Cepl (mcepl)
(revision 27)
- Skip test_raw_roundtrip on i586
- Update to version 1.0.5
* Fixed regressions
+ Fix regression in read_parquet() when reading from file-like objects (GH34467).
+ Fix regression in reading from public S3 buckets (GH34626).
Note this disables the ability to read Parquet files from
directories on S3 again (GH26388, GH34632), which was added
in the 1.0.4 release, but is now targeted for pandas 1.1.0.
+ Fixed regression in replace() raising an AssertionError when replacing values in an extension dtype with values of a different dtype (GH34530)
* Bug fixes
+ Fixed building from source with Python 3.8 fetching the wrong version of NumPy
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