python 2.7 - Counting the columns with missing values in a pandas dataset -


i have feature set 30 columns , 100 rows , want count columns missing values. have seen csv file , there 2 rows no values under 1 column.

based on output below, shows me columns , count on how many values missing in each column.

traindata.isnull().sum(axis=0) [out:] f1            0 f2            0 f3            0 f4            0 f5            0 f6            0 f7            0 f8            0 f9            0 f10           0 f11           0 f12           0 f13           0 f14           0 f15           0 f16           0 f17           0 f18           0 f19           0 f20           0 f21           2 f22           0 f23           0 f24           0 f25           0 f26           0 f27           0 f28           0 f29           0 f30           0 dtype: int64

is there code show how many columns have missing values , specific column that? output should 1 , f21.

any appreciated. thanks!


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