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Make working with "relational" or "labeled" data both easy and intuitive

Edit Package python-pandas

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.

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Filename Size Changed
_constraints 0000000163 163 Bytes
_multibuild 0000000122 122 Bytes
pandas-2.0.3-gh.tar.gz 0014041853 13.4 MB
python-pandas.changes 0000207212 202 KB
python-pandas.spec 0000019432 19 KB
Revision 53 (latest revision is 65)
Ana Guerrero's avatar Ana Guerrero (anag+factory) accepted request 1104661 from Daniel Garcia's avatar Daniel Garcia (dgarcia) (revision 53) 
- update to 2.0.3:
  * Bug in Timestamp.weekday`() was returning incorrect results
    before '0000-02-29'
  * Fixed performance regression in merging on datetime-like columns
  * Fixed regression when DataFrame.to_string() creates extra space
    for string dtypes
  * Bug in DataFrame.convert_dtype() and Series.convert_dtype()
    when trying to convert ArrowDtype with dtype_backend="nullable_numpy"
  * Bug in RangeIndex.union() when using sort=True with another
    RangeIndex 
  * Bug in Series.reindex() when expanding a non-nanosecond datetime
    or timedelta
  * Bug in read_csv() when defining dtype with bool[pyarrow] for
    the "c" and "python" engines 
  * Bug in Series.str.split() and Series.str.rsplit() with expand=True 
  * Bug in indexing methods (e.g. DataFrame.__getitem__()) where
    taking the entire DataFrame/Series would raise an OverflowError
    when Copy on Write was enabled the length of the array was over
    the maximum size a 32-bit integer can hold
  * Bug when constructing a DataFrame with columns of an ArrowDtype
    with a pyarrow.dictionary type that reindexes the data
  * Bug when indexing a DataFrame or Series with an Index with a
    timestamp ArrowDtype would raise an AttributeError
- drop pandas-fix-tests.patch (upstream)
Comments 1
Factory Maintainer's avatar
Factory Maintainer (factory-maintainer) -

Installcheck problems for i586

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