熊猫：从数据框中删除空字符串

Question

I have dataframe

id    m1    m2    m3
111   20    0     12
222   0     0     0
333   3     1     18

I need to get only

id    m1    m2    m3
111   20    0     12
333   3     1     18

I use

df.drop(axis=0, how='all')

But it returns me full dataframe. How can I fix that?

Answer 1

You can use boolean indexing ie

ndf = df[~(df.set_index('id')==0).all(1).values]

Output:

id  m1  m2  m3
0  111  20   0  12
2  333   3   1  18

Answer 2

In [91]: ndf = df[df.filter(regex='^m').astype(bool).any(1)]

In [92]: ndf
Out[92]:
    id  m1  m2  m3
0  111  20   0  12
2  333   3   1  18

Answer 3

在这里，可以通过以下简单方法完成。

df=df[df['id']!=222]

print(df)

id m1 m2 m3 0 111 20 0 12 2 333 3 1 18