Update pingouin requirement from >=0.5 to >=0.5.5

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Updates the requirements on pingouin to permit the latest version.

Release notes

Sourced from pingouin's releases.

v0.5.5

This is a minor release with several bugfixes, and major updates to the internal structure and sphinx documentation.

What's Changed

• Fix penalty for LogisticRegression by @​raphaelvallat in raphaelvallat/pingouin#403
• Switch to modern python packaging by @​getzze in raphaelvallat/pingouin#406
• Remove call to sns.despine by @​raphaelvallat in raphaelvallat/pingouin#410
• Updated deprecated function by @​sjg2203 in raphaelvallat/pingouin#414
• Add errstate(divide="ignore") in Bayes Factor calculation by @​raphaelvallat in raphaelvallat/pingouin#415
• Remove inplace on single column by @​raphaelvallat in raphaelvallat/pingouin#423
• Fix RBC sign in mwu by @​raphaelvallat in raphaelvallat/pingouin#424
• Overhaul documentation (pydata_sphinx_theme) by @​yann1cks in raphaelvallat/pingouin#432
• Release 0.5.5 by @​raphaelvallat in raphaelvallat/pingouin#436

New Contributors

• @​getzze made their first contribution in raphaelvallat/pingouin#406
• @​sjg2203 made their first contribution in raphaelvallat/pingouin#414
• @​yann1cks made their first contribution in raphaelvallat/pingouin#432

Full Changelog: raphaelvallat/pingouin@v0.5.4...v0.5.5

Changelog

Sourced from pingouin's changelog.

v0.5.5 (September 2024)

This is a minor release with several bugfixes, and major updates to the internal structure and sphinx documentation.

See the full changelog for 0.5.5 <https://github.com/raphaelvallat/pingouin/releases/tag/v0.5.5>_.

v0.5.4 (January 2024)

This is a minor release with several bugfixes and no new features. The new version is tested for Python 3.8-3.11 (but should also work with Python 3.12). See the full changelog for 0.5.4 <https://github.com/raphaelvallat/pingouin/releases/tag/v0.5.4>_.

This release requires pandas≥1.5. We recommend scipy≥1.11.0.

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v0.5.3 (December 2022)

Bugfixes

• Fixed a bug where the boolean value returned by :py:func:pingouin.anderson was inverted. It returned True when the data was NOT coming from the tested distribution, and vice versa. PR 308 <https://github.com/raphaelvallat/pingouin/pull/308>_.
• Fixed misleading documentation and input_type in the :py:func:pingouin.convert_effsize function. When converting from a Cohen's d effect size to a correlation coefficient, the resulting correlation is not a Pearson correlation but instead a point-biserial correlation <https://en.wikipedia.org/wiki/Point-biserial_correlation_coefficient>. To avoid any confusion, input_type='r' has been deprecated and replaced with input_type='pointbiserialr'. For more details, see issue 302 <https://github.com/raphaelvallat/pingouin/issues/302>.

New function

We have added the :py:func:pingouin.ptests function to calculate a T-test (T- and p-values) between all pairs of columns in a given dataframe. This is the T-test equivalent of :py:func:pingouin.rcorr. It can only be used as a :py:class:pandas.DataFrame method, not as a standalone function. The output is a square dataframe with the T-values on the lower triangle and the p-values on the upper triangle.

.. code-block:: python

import pingouin as pg df = pg.read_dataset('pairwise_corr').iloc[:30, 1:] df.columns = ["N", "E", "O", "A", "C"] df.ptests() N E O A C N - *** *** *** *** E -8.397 - *** O -8.585 -0.483 - *** A -9.026 0.278 0.786 - *** C -4.759 3.753 4.128 3.802 -

Improvements

• Effect sizes are now calculated using an exact method instead of an approximation based on T-values in :py:func:pingouin.pairwise_tukey and :py:func:pingouin.pairwise_gameshowell. PR 328 <https://github.com/raphaelvallat/pingouin/pull/328>_.
• :py:func:pingouin.normality does not raise an AssertionError anymore if one of the groups in group has ≤ 3 samples. PR 324 <https://github.com/raphaelvallat/pingouin/pull/324>_.
• Added customization options to :py:func:pingouin.plot_rm_corr, which now takes optional keyword arguments to pass through to :py:func:seaborn.regplot and :py:func:seaborn.scatterplot. PR 312 <https://github.com/raphaelvallat/pingouin/pull/312>_.
• Changed some plotting functions to increase compatibility with :py:class:seaborn.FacetGrid. As explained in issue 306 <https://github.com/raphaelvallat/pingouin/issues/306>, the major change is to generate matplotlib.axes using default parameters instead of accepting fig and dpi keyword arguments. This change applies to :py:func:pingouin.plot_blandaltman, :py:func:pingouin.plot_paired, :py:func:pingouin.plot_circmean, and :py:func:pingouin.qqplot. In the future, open a matplotlib.axes and pass it through using the ax parameter to use custom figure settings with these functions. Other minor changes include the addition of the square keyword argument to :py:func:pingouin.plot_circmean and :py:func:pingouin.qqplot to ensure equal aspect ratios, and the removal of scatter_kws as a keyword argument in :py:func:pingouin.plot_blandaltmann (now alter the scatter parameters using general **kwargs). PR 314 <https://github.com/raphaelvallat/pingouin/pull/314>.

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... (truncated)

Commits

• b1488dd Release 0.5.5 (#436)
• aaae740 Overhaul documentation (pydata_sphinx_theme) (#432)
• b563de7 Fix RBC sign in mwu (#424)
• 790ae3f Remove inplace on column (#423)
• 3a468ac Add errstate(divide="ignore") in Bayes Factor calculation (#415)
• e74eaa3 Replaced DataFrame.applymap() that is now deprecated with DataFrame.map() (#414)
• 77cbd57 fix image in readme
• f4593c5 Remove sns.despine (#410)
• 3cfb649 Switch to modern python packaging (#406)
• 0fb0277 Fix penalty for LogisticRegression (#403)
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