Stacked and grouped barplot - python [duplicate]

Question

I've got a dataset that looks like the following:

Category	clicked	Case1	Case2	Case3
A	0	0.94	0.95	0.95
A	1	0.06	0.05	0.05
B	0	0.93	0.96	0.95
B	1	0.07	0.04	0.05
C	0	0.93	0.96	0.95
C	1	0.07	0.04	0.05
D	0	0.94	0.96	0.95
D	1	0.06	0.04	0.05
E	0	0.92	0.96	0.95
E	1	0.08	0.04	0.05
F	0	0.93	0.95	0.95
F	1	0.07	0.05	0.05
G	0	0.90	0.95	0.95
G	1	0.10	0.05	0.05
H	0	0.93	0.94	0.94
H	1	0.07	0.06	0.06
X	0	0.71	0.95	0.95
X	1	0.29	0.05	0.05

From this I'd like to create a stacked and grouped barpot (using seaborn if possible as the rest of my plots are made using just that) that would be something like this:

(taken from This answer of the same question using R)

Translating it into my data, 1,2,3,4,etc would be Grade, R-W (i.e. the grouped part) would be Case1, Case2, Case3, and A-B (i.e the stacked part) would be clicked.

The closest I got was using:

df1=pd.melt(df, id_vars=['Grade'],value_vars=['Case1','Case2','Case3'])
sns.barplot(data=df1, x='Grade', y='value', hue='variable', dodge=True)

but it doesn't include the stacked/clicked part.

Or:

sns.barplot(data=df,
            x='Grade', y='Case1', hue='clicked', dodge=True)

This includes the clicked part but is not stacked and couldn't figure out how to add the other "case" variables.

Is there a straightforward-ish way to achieve this?