How to create stacked subplots with pandas

I think - but I'm not sure - that it is difficult to combine stacked and subplots options. So here is a solution producing - I hope - the expected output but may be improved.

# Test data
np.random.seed(1234)
test = pd.DataFrame({'week':[1,1,1,1,1,1,2,2,2,2,2,2],
                     'score':np.random.uniform(0,1,12),
                    'type': [0,1,0,1,0,1,0,1,0,1,0,1],
                     'type2':[3,3,4,4,5,5,3,3,4,4,5,5]})
grouped = test.groupby(['type','week','type2']).agg('sum')

# Preparing plots
fig, axes = plt.subplots(nrows=2)

for group_name, group in grouped.groupby(level=0):
    group.index = group.index.droplevel(0)
    group = group.unstack(1)
    group.columns = group.columns.droplevel()
    group.plot(kind='bar', stacked=True, ax=axes[group_name], title='type: ' + str(group_name))

If I understand you correctly you can add the stacked=True argument?

test.groupby(['week','type','type2']).agg('sum').unstack(1).plot(kind='bar', stacked=True)