This is what I have right now:
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]})
test.groupby(['week', 'type', 'type2']).agg('sum').unstack().plot(kind='bar')
How do I plot facet based on 'type'? I want two different plots, one for type = 1 and another type = 2.
You need to unstack so type
are columns, and then use the subplots
parameter:
test.groupby(['week', 'type',
'type2']).agg('sum').unstack(1).plot(kind='bar', subplots=True)