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mwaskom/seaborn: v0.12.2 (December 2022)

Authors: Michael Waskom; Maoz Gelbart; Olga Botvinnik; Joel Ostblom; Paul Hobson; Saulius Lukauskas; David C Gemperline; +23 Authors

mwaskom/seaborn: v0.12.2 (December 2022)

Abstract

v0.12.2 (December 2022) This is an incremental release that is a recommended upgrade for all users. It is very likely the final release of the 0.12 series and the last version to support Python 3.7. |Feature| Added the objects.KDE stat (#3111). |Feature| Added the objects.Boolean scale (#3205). |Enhancement| Improved user feedback for failures during plot compilation by catching exceptions and re-raising with a PlotSpecError that provides additional context. (#3203). |Fix| Improved calculation of automatic mark widths with unshared facet axes (#3119). |Fix| Improved robustness to empty data in several components of the objects interface (#3202). |Fix| Fixed a bug where legends for numeric variables with large values would be incorrectly shown (i.e. with a missing offset or exponent; #3187). |Fix| Fixed a regression in v0.12.0 where manually-added labels could have duplicate legend entries (#3116). |Fix| Fixed a bug in histplot with kde=True and log_scale=True where the curve was not scaled properly (#3173). |Fix| Fixed a bug in relplot where inner axis labels would be shown when axis sharing was disabled (#3180). |Fix| Fixed a bug in objects.Continuous to avoid an exception with boolean data (#3189).

If seaborn is integral to a scientific publication, please cite the following paper:

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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27
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