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mwaskom/seaborn: v0.12.1 (October 2022)

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

mwaskom/seaborn: v0.12.1 (October 2022)

Abstract

This is an incremental release that is a recommended upgrade for all users. It addresses a handful of bugs / regressions in v0.12.0 and adds several features and enhancements to the new objects interface. Added the objects.Text mark (#3051). Added the objects.Dash mark (#3074). Added the objects.Perc stat (#3063). Added the objects.Count stat (#3086). The objects.Band and objects.Range marks will now cover the full extent of the data if min / max variables are not explicitly assigned or added in a transform (#3056). The objects.Jitter move now applies a small amount of jitter by default (#3066). Axes with a objects.Nominal scale now appear like categorical axes in classic seaborn, with fixed margins, no grid, and an inverted y axis (#3069). The objects.Continuous.label method now accepts base=None to override the default formatter with a log transform (#3087). Marks that sort along the orient axis (e.g. objects.Line) now use a stable algorithm (#3064). Added a label parameter to pointplot, which addresses a regression in 0.12.0 when pointplot is passed to FacetGrid (#3016). Fixed a bug that caused an exception when more than two layers with the same mappings were added to objects.Plot (#3055). Made objects.PolyFit robust to missing data (#3010). Fixed a bug in objects.Plot that occurred when data assigned to the orient coordinate had zero variance (#3084). Fixed a regression in kdeplot where passing cmap for an unfilled bivariate plot would raise an exception (#3065). Addressed a performance regression in lineplot with a large number of unique x values (#3081). Seaborn no longer contains doctest-style examples, simplifying the testing infrastructure (#3034).

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

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selected citations
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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.
BIP!Impulse provided by BIP!
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