熊猫数据框按条件放置行

Question

我用熊猫。 我有DataFrame。

我想根据相同的条件删除行。

bool_mask = (df['a'] == 'aaa') & \
            (df['b'] == '') & \
            (df['c'] == '') & \
            (df['d'] == '') & \
            (df['e'] == '') & \
            (df['f'] == '') & \
            (df['m'] == '') & \
            (df['n'] == '') & \
            (df['w'] == '')

df = df[~bool_mask]

请告诉我是否有更漂亮/更快的解决方案？

Answer 1

我想你可以使用all的比列相结合''

bool_mask = (df['a'] == 'aaa') & \
            (df[['b', 'c', 'd', 'e', 'f', 'm', 'n', 'w']] == '').all(1)

df = df[~bool_mask]

Answer 2

我们可以按如下所示将其缩减，找到其他所有等于''的列和等于aa的列a作为目标：

# make whole df equal to '' then sum all of them by row 
# then we at least need 8 blank 
# then apply the 2nd condition df.a should be equal to 'aaa' 
m=(df=='').sum(1).eq(8)&df.a.eq('aaa')

要么

m=df.drop('a',1).eq('').all(1)&df.a.eq('aaa')