Superimposing Images in Catplot

Question

I am attempting to superimpose dot plots on top of a bar graph. Both types of plots have been generated using seaborn's catplot function.

Scatter-plot Code:

dotplot2 = sns.catplot(x="Group", y="MASQ_Score", col= "MASQ_Item", units="subject", aspect=.6, hue="Group", ci = 68, data=df_reshaped)

Resulting Plot Image:

Bar-plot Code:

barplot2 = sns.catplot(x="Group", y="MASQ_Score", hue='Group', kind="bar", col= "MASQ_Item", units="subject", aspect=.6, ci = 68, data=df_reshaped)

Resulting Plot Image:

Does anyone know if there is a way to superimpose the scatter-plot data on top of the bar-plot? So that both types of information are conveniently visible.

I would guess the idea is to create a `FacetGrid` and `map` a `barplot` and a `stripplot` to it. — ImportanceOfBeingErnest, Sep 14 '18 at 19:37

score 2 · Answer 1 · answered Oct 08 '20 at 16:23

Based on @ImportanceOfBeingErnest comment, here is a working solution with open data using the map_dataframe method from FacetGrid:

import seaborn as sns
tips = sns.load_dataset("tips")
g = sns.FacetGrid(tips, col="time")
g.map_dataframe(sns.stripplot,x="sex", y="total_bill")
g.map_dataframe(sns.boxplot,x="sex", y="total_bill",boxprops={'facecolor':'None'},showfliers = False)

The stirpplot and boxplot can easily be replaced by other seaborn components like swarmplot or violinplot.

score 0 · Answer 2 · answered Mar 11 '21 at 14:14

What you are plotting is not a scatter plot, it is a stirpplot. As @Rachid Riad shows. If what you are looking for is to make a barplot instead of a boxplot, you just have to change that line to:

sns.barplot()

I would personally recommend using boxplot and swarmplot.

Superimposing Images in Catplot

2 Answers2