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.

Refresh
Refresh
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's avatar Dominique Leuenberger (dimstar_suse) accepted request 832629 from Tomáš Chvátal's avatar 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
Comments 0
openSUSE Build Service is sponsored by