使用isnull
與any
用於檢查至少一個真:
a = df[df.isnull().any(axis=1)]
對於列與列:
b = df.loc[df.isnull().any(axis=1), df.isnull().any()]
樣品:
df = pd.DataFrame({'A':list('abcdef'),
'B':[4,np.nan,4,5,5,4],
'C':[7,8,9,4,2,3],
'D':[1,3,np.nan,7,1,0],
'E':[5,3,6,9,2,4],
'F':list('aaabbb')})
print (df)
A B C D E F
0 a 4.0 7 1.0 5 a
1 b NaN 8 3.0 3 a
2 c 4.0 9 NaN 6 a
3 d 5.0 4 7.0 9 b
4 e 5.0 2 1.0 2 b
5 f 4.0 3 0.0 4 b
a = df[df.isnull().any(1)]
print (a)
A B C D E F
1 b NaN 8 3.0 3 a
2 c 4.0 9 NaN 6 a
b = df.loc[df.isnull().any(axis=1), df.isnull().any()]
print (b)
B D
1 NaN 3.0
2 4.0 NaN
詳細信息:
print (df.isnull())
A B C D E F
0 False False False False False False
1 False True False False False False
2 False False False True False False
3 False False False False False False
4 False False False False False False
5 False False False False False False
print (df.isnull().any(axis=1))
0 False
1 True
2 True
3 False
4 False
5 False
dtype: bool
print (df.isnull().any())
A False
B True
C False
D True
E False
F False
dtype: bool