File python-swifter.changes of Package python-swifter

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File python-swifter.changes of Package python-swifter (Revision 1f1f24079d3ea7729b798182f49151e4)

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Sun Feb 21 13:50:23 UTC 2021 - Ben Greiner <code@bnavigator.de>

- Skip python36 build: With NumPy 1.20, python36-numpy is no
  longer available in Tumbleweed (NEP 29)

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Tue Feb  9 09:48:29 UTC 2021 - Ben Greiner <code@bnavigator.de>

- Update to 1.0.7
  * Sample applies now suppress logging in addition to stdout and 
    stderr
  * Allow new kwargs offset and origin for pandas df.resample
- Changes in 1.0.5
  * Added warnings/errors for swifter methods which do not exist 
    when using modin dataframes
  * Updated Dask Dataframe dependencies to require a more recent 
    version
  * Updated examples/speed benchmark notebooks
- Changes in 1.0.3
  * Fixed bug with string, axis=1 applies for pandas dataframes 
    that prevented swifter from leveraging modin for 
    parallelization when returning a series instead of a dataframe
- Changes in 1.0.2
  * Remove pickle5 hard dependency
- Changes in 1.0.1
  * Reduce resources consumed by swifter by only importing modin/
    ray when necessary.
  * Added swifter.register_modin() function, which gives access to 
    modin.DataFrame.swifter.apply(...), but is only required if 
    modin is imported after swifter. If you import modin before 
    swifter, this is not necessary.
- Changes in 1.0.0
  * Two major enhancements are included in this release, both 
    involving the use of modin in swifter. Special thanks to Devin 
    Petersohn for the collaboration.
  * Enable compatibility with modin dataframes. Compatibility not 
    only allows modin dataframes to work with
    df.swifter.apply(...), but still attempts to vectorize the 
    operation which can lead to a performance boost.
    Example:
      import modin.pandas as pd
       df = pd.DataFrame(...)
       df.swifter.apply(...)
  * Significantly speed up swifter axis=1 string applies by using 
    Modin, resolving a long-standing issue for swifter.
  * Use Modin for axis=1 string applies, unless 
    allow_dask_on_strings(True) is set. If that flag is set, still 
    use Dask.
    NOTE: this means that allow_dask_on_strings() is no longer 
    required to work with text data using swifter.
- Changes in 0.305
  * Remove Numba hard dependency, but still handle TypingErrors 
    when numba is installed 
  * Only call tqdm's progress_apply on transformations (e.g. 
    Resampler, Rolling) when tqdm has an implementation for that 
    object.
- Do not require modin and skip the tests involving it.
  gh#jmcarpenter2/swifter#147

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Thu May  7 07:13:07 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>

- Update to 0.304:
  * Various fixes for updated dependencies

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Mon Feb 10 15:09:53 UTC 2020 - Todd R <toddrme2178@gmail.com>

- Update to 0.301
  * Following pandas release v1.0.0, removing deprecated keyword args "broadcast" and "reduce"

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Thu Jan 30 19:22:19 UTC 2020 - Todd R <toddrme2178@gmail.com>

- Update to 0.300
  * Added new applymap method for pandas dataframes.
    df.swifter.applymap(...)
- Update to 0.297
  * Fixed issue causing errors when using swifter on empty
    dataframes. Now swifter will perform a pandas apply on empty
    dataframes.
- Drop upstream-included use_current_exe.patch

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Tue Nov 26 15:37:36 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Initial version
- Add use_current_exe.patch
  See https://github.com/jmcarpenter2/swifter/pull/92

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File python-swifter.changes of Package python-swifter (Revision 1f1f24079d3ea7729b798182f49151e4)

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