python - How to count the number of times a value is in a column based on particular row values? -

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i have data frame: 

     outlook     temperature    playtennis   value  0     sunny           60           yes         1  1     sunny           70           yes         1  2     sunny           40            no         1  3  overcast           40            no         1  4  overcast           60           yes         1  5  overcast           50           yes         1  6  overcast           70           yes         1  7  overcast           80           yes         1  8      rain           65            no         1  9      rain           70           yes         1

and want this

outlook    yes    no  sunny       2      1  overcast    4      1  rain        1      1

not sure commands use count yesses , nos based on sunny/overcast/rain

how's this?

df.groupby('outlook').apply(lambda g: g['playtennis'].value_counts())

or, exact spec:

df.groupby('outlook').apply(lambda g: g['playtennis'].value_counts()).unstack(1)

or shorter:

df.groupby('outlook')['playtennis'].value_counts().unstack(1)

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