How to count values for columns in a groupby dataframe?

So I'm having trouble with this one:

Ive tried this, but it stacks time:

df2 = df.groupby(['Time'])
for group, data in df2:
    result =  data.apply(lambda x: x.value_counts()).T.stack()
    print(result)

from How to count values for columns in a groupby dataframe?