mask and then fillnan#

a b c 
1 1 5.0
1 1 None
1 1 4.0
1 2 1.0
2 1 2.0
2 1 None

mask = (df['a']==1) &amp; (df['b']==1)
mean = df.loc[mask, 'c'].mean()
df.loc[mask, 'c'] = df.loc[mask, 'c'].fillna(mean)

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mask and then fillnan#

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