Revisions of python-swifter
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accepted
request 1157050
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Matej Cepl (mcepl)
(revision 25)
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Matej Cepl (mcepl)
accepted
request 1156710
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Benjamin Greiner (bnavigator)
(revision 24)
- Skip testing with ipywiodgets on python39: no longer supported since ipython 8.19
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request 1101765
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Matej Cepl (mcepl)
(revision 23)
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Matej Cepl (mcepl)
accepted
request 1101669
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Markéta Machová (mcalabkova)
(revision 22)
- Update to 1.4.0 * Significantly reduced core dependencies of swifter library. * Removed deprecated loffset parameter * Updated README to be more readable for darkmode users
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request 1090401
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Steve Kowalik (StevenK)
(revision 21)
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Steve Kowalik (StevenK)
committed
(revision 20)
- Stop skipping Python 3.11.
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accepted
request 1074475
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Dirk Mueller (dirkmueller)
(revision 19)
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Dirk Mueller (dirkmueller)
accepted
request 1074411
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Benjamin Greiner (bnavigator)
(revision 18)
- Update to 1.3.4 * Enable indexing after a groupby, e.g. df.swifter.groupby(by)[key].apply(func) * Improve groupby apply progress bar * Previously, the groupby apply progress bar only appeared after the data was distributed across the cores. * Now, the groupby apply progress bar appears before the data is distributed for a more realistic reflection of how long it took * Additional groupby apply code refactoring and optimizations, including removing the mutability of the data within ray - Version 1.3.3 * Enable users to pass in df.index as the by parameter for the df.swifter.groupby(by).apply(func) command - Version 1.3.2 * Enable users to df.swifter.groupby.apply, which requires a new package (ray) that now available as an extra_requires. * To use groupby apply, install swifter as pip install -U swifter[groupby] * All credit goes to user @diditforlulz273 for writing the performant groupby apply code, that is now part of swifter! - Version 1.2.0 * Enable users to force_parallel which immediately forces swifter to jump to using dask apply. This enables a simple interface for parallel processing, but disables swifter's algorithm to determine the fastest apply solution possible. - Version 1.1.4 * Enable users to leverage set_defaults functionality so they don't have to keep invoking individual settings on a per swifter invocation basis - Version 1.1.3 * Enhance the robustness of swifter by randomizing the sample index to avoid sparse data impacting the validity of apply validation * Resolve issue where functions that return a non array-like cause swifter to fail on vectorization
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accepted
request 965629
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Dirk Mueller (dirkmueller)
(revision 17)
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Dirk Mueller (dirkmueller)
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request 965246
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Benjamin Greiner (bnavigator)
(revision 16)
- Update to 1.1.2 * Resolve installation issue by removing import from setup.py - Reenable python310 build, now that dask is available
Dirk Mueller (dirkmueller)
accepted
request 952219
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Benjamin Greiner (bnavigator)
(revision 15)
- Update to 1.1.1 * Resolve installation issues by removing modin dependency, and modin apply route for axis=1 string applies * apply_dask_on_strings returns to original functionality, which allows control over whether to use dask or pandas by default for string applies * Sample applies now suppress logging in addition to stdout and stderr * Allow new kwargs offset and origin for pandas df.resample - Require and BuildRequire everything that is declared in the setuptools metadata in order to avoid possible pkg_resources failures - Skip python310 due to python310-dask not available yet
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accepted
request 874276
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Matej Cepl (mcepl)
(revision 14)
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Matej Cepl (mcepl)
accepted
request 874197
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Benjamin Greiner (bnavigator)
(revision 13)
- Skip python36 build: With NumPy 1.20, python36-numpy is no longer available in Tumbleweed (NEP 29)
buildservice-autocommit
accepted
request 870582
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Markéta Machová (mcalabkova)
(revision 12)
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Markéta Machová (mcalabkova)
accepted
request 870474
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Benjamin Greiner (bnavigator)
(revision 11)
- 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
buildservice-autocommit
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request 800953
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Tomáš Chvátal (scarabeus_iv)
(revision 10)
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Tomáš Chvátal (scarabeus_iv)
committed
(revision 9)
- Update to 0.304: * Various fixes for updated dependencies
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request 773484
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Todd R (TheBlackCat)
(revision 8)
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Todd R (TheBlackCat)
accepted
request 773482
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Todd R (TheBlackCat)
(revision 7)
- Update to 0.301 * Following pandas release v1.0.0, removing deprecated keyword args "broadcast" and "reduce"
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request 768875
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Todd R (TheBlackCat)
(revision 6)
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