Add statistically significant difference between bars to plotnine plot (ggpubr equivalent)

user_4681355 0
Viewed 551

In many plots one wants to highlight the statistical significance of an observed difference between some results. This task can be done in R using the ggpubr() or the geom.signif() extension.

An example of what I mean is here (see horizontal bars with stars): https://www.nature.com/articles/s41598-019-40496-8/figures/1

I am generating the exact same plot as shown in the figure, but my workflow is python-based and it would annoy me to go through R just for this. I would like to obtain something like what is suggested in this other thread for R, but in python plotnine: Put stars on ggplot barplots and boxplots - to indicate the level of significance (p-value)

As far as I could find, there is no way of getting this type of statistical representation with plotnine. Do you have workarounds or suggestions? Am I missing it from the plotnine API?

significance ggpubr plotnine ggplot2 python
1 Answers

Came here in search of the same thing, as plotnine's API is missing an equivalent for ggpubr's stat_compare_means (plotnine is an implementation of ggplot2, so perhaps it is not surprising the archives are incomplete).

However, in this thread, I found another library named statannot which seems to do just that.

user_102496330
Related