2024-03-11 21:37:31 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
Sun Mar 10 12:16:27 UTC 2024 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
- Skip testing with ipywiodgets on python39: no longer supported
|
|
|
|
|
since ipython 8.19
|
|
|
|
|
|
2023-08-01 15:04:05 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
Tue Aug 1 08:59:00 UTC 2023 - Markéta Machová <mmachova@suse.com>
|
|
|
|
|
|
|
|
|
|
- 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
|
|
|
|
|
|
2023-06-02 03:21:12 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
Fri Jun 2 03:20:27 UTC 2023 - Steve Kowalik <steven.kowalik@suse.com>
|
|
|
|
|
|
|
|
|
|
- Stop skipping Python 3.11.
|
|
|
|
|
|
2023-03-26 16:46:04 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
Sat Mar 25 12:14:06 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
- 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
|
|
|
|
|
|
2022-03-29 11:38:20 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
Sun Mar 27 19:09:15 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
- Update to 1.1.2
|
|
|
|
|
* Resolve installation issue by removing import from setup.py
|
|
|
|
|
- Reenable python310 build, now that dask is available
|
|
|
|
|
|
2022-02-07 21:04:40 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
Mon Feb 7 12:23:58 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|
|
|
|
|
|
|
|
|
- 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
|
|
|
|
|
|
2021-02-22 10:07:20 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
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)
|
|
|
|
|
|
Accepting request 870474 from home:bnavigator:branches:devel:languages:python:numeric
- 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
2021-02-09 15:12:56 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
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
|
|
|
|
|
|
2020-05-07 07:24:15 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
Thu May 7 07:13:07 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
|
|
|
|
|
|
|
|
|
|
- Update to 0.304:
|
|
|
|
|
* Various fixes for updated dependencies
|
|
|
|
|
|
2020-02-11 15:32:32 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
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"
|
|
|
|
|
|
2020-01-30 19:23:29 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
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
|
|
|
|
|
|
2019-12-03 19:32:55 +00:00
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
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
|
