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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Source Files
Filename | Size | Changed |
---|---|---|
_constraints | 0000000132 132 Bytes | |
_multibuild | 0000000053 53 Bytes | |
pandas-1.1.1.tar.gz | 0005213685 4.97 MB | |
pandas-pytest.ini | 0000000442 442 Bytes | |
python-pandas.changes | 0000147589 144 KB | |
python-pandas.spec | 0000006444 6.29 KB |
Revision 29 (latest revision is 72)
Dominique Leuenberger (dimstar_suse)
accepted
request 832629
from
Tomáš Chvátal (scarabeus_iv)
(revision 29)
- specfile: * updated versions of some requirements, require numpy during build * removed pandas-pr34991-npconstructor.patch, included upstream * removed sed commands that are not needed anymore * skip test to see if pandas is installed - update to version 1.1.1: * Fixed regressions + Fixed regression in CategoricalIndex.format() where, when stringified scalars had different lengths, the shorter string would be right-filled with spaces, so it had the same length as the longest string (GH35439) + Fixed regression in Series.truncate() when trying to truncate a single-element series (GH35544) + Fixed regression where DataFrame.to_numpy() would raise a RuntimeError for mixed dtypes when converting to str (GH35455) + Fixed regression where read_csv() would raise a ValueError when pandas.options.mode.use_inf_as_na was set to True (GH35493) + Fixed regression where pandas.testing.assert_series_equal() would raise an error when non-numeric dtypes were passed with check_exact=True (GH35446) + Fixed regression in .groupby(..).rolling(..) where column selection was ignored (GH35486) + Fixed regression where DataFrame.interpolate() would raise a TypeError when the DataFrame was empty (GH35598) + Fixed regression in DataFrame.shift() with axis=1 and heterogeneous dtypes (GH35488) + Fixed regression in DataFrame.diff() with read-only data (GH35559) + Fixed regression in .groupby(..).rolling(..) where a segfault would occur with center=True and an odd number of values
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