Markéta Machová
90bea6bbdc
- 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
OBS-URL: https://build.opensuse.org/request/show/870474
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-swifter?expand=0&rev=11
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-------------------------------------------------------------------
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Tue Feb 9 09:48:29 UTC 2021 - Ben Greiner <code@bnavigator.de>
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- Update to 1.0.7
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* Sample applies now suppress logging in addition to stdout and
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stderr
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* Allow new kwargs offset and origin for pandas df.resample
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- Changes in 1.0.5
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* Added warnings/errors for swifter methods which do not exist
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when using modin dataframes
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* Updated Dask Dataframe dependencies to require a more recent
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version
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* Updated examples/speed benchmark notebooks
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- Changes in 1.0.3
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* Fixed bug with string, axis=1 applies for pandas dataframes
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that prevented swifter from leveraging modin for
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parallelization when returning a series instead of a dataframe
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- Changes in 1.0.2
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* Remove pickle5 hard dependency
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- Changes in 1.0.1
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* Reduce resources consumed by swifter by only importing modin/
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ray when necessary.
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* Added swifter.register_modin() function, which gives access to
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modin.DataFrame.swifter.apply(...), but is only required if
|
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modin is imported after swifter. If you import modin before
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swifter, this is not necessary.
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- Changes in 1.0.0
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* Two major enhancements are included in this release, both
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involving the use of modin in swifter. Special thanks to Devin
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Petersohn for the collaboration.
|
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* Enable compatibility with modin dataframes. Compatibility not
|
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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:
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import modin.pandas as pd
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df = pd.DataFrame(...)
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df.swifter.apply(...)
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* Significantly speed up swifter axis=1 string applies by using
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Modin, resolving a long-standing issue for swifter.
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* Use Modin for axis=1 string applies, unless
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allow_dask_on_strings(True) is set. If that flag is set, still
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use Dask.
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NOTE: this means that allow_dask_on_strings() is no longer
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required to work with text data using swifter.
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- Changes in 0.305
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* Remove Numba hard dependency, but still handle TypingErrors
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when numba is installed
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* Only call tqdm's progress_apply on transformations (e.g.
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Resampler, Rolling) when tqdm has an implementation for that
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object.
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- Do not require modin and skip the tests involving it.
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gh#jmcarpenter2/swifter#147
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-------------------------------------------------------------------
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Thu May 7 07:13:07 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
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- Update to 0.304:
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* Various fixes for updated dependencies
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-------------------------------------------------------------------
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Mon Feb 10 15:09:53 UTC 2020 - Todd R <toddrme2178@gmail.com>
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- Update to 0.301
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* Following pandas release v1.0.0, removing deprecated keyword args "broadcast" and "reduce"
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-------------------------------------------------------------------
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Thu Jan 30 19:22:19 UTC 2020 - Todd R <toddrme2178@gmail.com>
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- Update to 0.300
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* Added new applymap method for pandas dataframes.
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df.swifter.applymap(...)
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- Update to 0.297
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* Fixed issue causing errors when using swifter on empty
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dataframes. Now swifter will perform a pandas apply on empty
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dataframes.
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- Drop upstream-included use_current_exe.patch
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-------------------------------------------------------------------
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Tue Nov 26 15:37:36 UTC 2019 - Todd R <toddrme2178@gmail.com>
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- Initial version
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- Add use_current_exe.patch
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See https://github.com/jmcarpenter2/swifter/pull/92
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