Generate a stacked bar chart in python out of groupby based on multi-index

I would like to generate a stacked bar chart (ideally in seaborn), but happy to go with the native pandas plotting functionality. Let me introduce some test data to make things clear.

In [353]: import pandas as pd

In [354]: import seaborn as sns

In [355]: df = pd.DataFrame({"Cat":["A", "B","A","B","A","B","A","B","C"], "Time":[0,0,1,1,0,0,1,1,1], "ID":[0,0,0,0,1,1,1,1,1]})

In [356]: df
Out[356]: 
  Cat  Time  ID
0   A     0   0
1   B     0   0
2   A     1   0
3   B     1   0
4   A     0   1
5   B     0   1
6   A     1   1
7   B     1   1
8   C     1   1

In [357]: df.groupby(["ID","Cat"]).count()
Out[357]: 
        Time
ID Cat      
0  A       2
   B       2
1  A       2
   B       2
   C       1

In [358]: 

What I would like to see here, is on the x-axis the ID's where on the y axis I get the count (column Time) stacked by the variable Cat, e.g. for ID 1, I want to see a stacked coloured bar where the sizes are 2, 2 and 1. I've tried the following without succeeding:

df.groupby(["ID","Cat"]).count().plot(kind="bar", stacked=True, x="ID")

as it seems it can't handle the multi-axis. Any help much appreciated!

EDIT

This EDIT is to add the trouble I'm having with the legenbox being placed outside of the plotting window. The real code I'm using

p = so.Plot(df.astype({"Time": "category"}),x='Time', color='Category').add(so.Bar(), so.Count(), so.Stack())
fig, ax = plt.subplots(figsize=(2560/120, 1335/120))
today = dt.datetime.today().strftime("%Y%m%d")
plt.grid()
p.on(ax).save(f"{today}_barchart_sources_{c}.png")
plt.close()

You would need to unstack the Cat (also only aggregate Time):

(df.groupby(['ID', 'Cat'])['Time'].count().unstack('Cat')
   .plot(kind='bar', stacked=True)
)

Output:

Alternatively, with seaborn's object interface, for which you don't need to pre-aggregate the data. See Stack for more examples:

import seaborn.objects as so

(so.Plot(df.astype({'ID': 'category'}), x='ID', color='Cat')
   .add(so.Bar(), so.Count(), so.Stack())
)

NB. converting ID to category to avoid having a numeric x-axis.

Output: