2019-12-03 19:32:55 +00:00
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#
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# spec file for package python-swifter
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#
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2024-03-11 21:37:31 +00:00
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# Copyright (c) 2024 SUSE LLC
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2019-12-03 19:32:55 +00:00
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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Name: python-swifter
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2023-08-01 15:04:05 +00:00
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Version: 1.4.0
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2019-12-03 19:32:55 +00:00
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Release: 0
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Summary: Tool to speed up pandas calculations
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License: MIT
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URL: https://github.com/jmcarpenter2/swifter
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Source: https://github.com/jmcarpenter2/swifter/archive/%{version}.tar.gz#/swifter-%{version}.tar.gz
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2023-03-26 16:46:04 +00:00
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BuildRequires: %{python_module pip}
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2019-12-03 19:32:55 +00:00
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BuildRequires: %{python_module setuptools}
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2023-03-26 16:46:04 +00:00
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BuildRequires: %{python_module wheel}
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2019-12-03 19:32:55 +00:00
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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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
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Requires: python-dask-dataframe >= 2.10.0
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Requires: python-pandas >= 1.0
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2020-05-07 07:24:15 +00:00
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Requires: python-psutil >= 5.6.6
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2019-12-03 19:32:55 +00:00
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Requires: python-tqdm >= 4.33.0
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2023-08-01 15:04:05 +00:00
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Suggests: python-ipywidgets >= 7.0.0
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2023-03-26 16:46:04 +00:00
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Suggests: python-ray >= 1.0
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2019-12-03 19:32:55 +00:00
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BuildArch: noarch
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# SECTION test requirements
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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
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BuildRequires: %{python_module dask-dataframe >= 2.10.0}
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2024-03-11 21:37:31 +00:00
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BuildRequires: %{python_module ipywidgets >= 7.0.0 if %python-base >= 3.10}
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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
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BuildRequires: %{python_module pandas >= 1.0}
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2020-05-07 07:24:15 +00:00
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BuildRequires: %{python_module psutil >= 5.6.6}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module pytest}
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2019-12-03 19:32:55 +00:00
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BuildRequires: %{python_module tqdm >= 4.33.0}
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# /SECTION
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%python_subpackages
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%description
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A package which efficiently applies any function to a
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pandas dataframe or series in the fastest available manner
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%prep
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%setup -q -n swifter-%{version}
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%build
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2023-03-26 16:46:04 +00:00
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%pyproject_wheel
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2019-12-03 19:32:55 +00:00
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%install
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2023-03-26 16:46:04 +00:00
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%pyproject_install
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2019-12-03 19:32:55 +00:00
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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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
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# we fail the speedtests on the build service machines. Disable that portion of the tests
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sed -i 's/if self.ncores > 1: # speed test/if False: # no speed test/' swifter/swifter_tests.py
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2023-03-26 16:46:04 +00:00
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# groupy requires the extra dep python-ray, which is not available
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donttest="(TestPandasDataFrame and groupby)"
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# wrong axis parameter
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donttest="$donttest or test_nonvectorized_math_apply_on_small_dataframe"
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%pytest -n auto swifter/swifter_tests.py -k "not ($donttest)"
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%files %{python_files}
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%doc README.md
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%license LICENSE
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2022-02-07 21:04:40 +00:00
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%{python_sitelib}/swifter
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2024-03-11 21:37:31 +00:00
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%{python_sitelib}/swifter-%{version}.dist-info
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%changelog
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