Pandas: select rows where two columns are different

Question

Suppose I have a dataframe as below

a  b  c  
1  1  45
0  2  74
2  2  54
1  4  44

Now I want the rows where column a and b are not same. So the expected outpu is

a  b  c 
0  2  74
1  4  44

How can I do this?

Answer 1

I am a fan of readability, use query :

df.query('a != b')

Output:

   a  b   c
1  0  2  74
3  1  4  44

Answer 2

尝试这个：

df.loc[df['a'] != df['b']]

Answer 3

By using nunique

df.loc[df[['a','b']].nunique(1)>1]
Out[335]: 
   a  b   c
1  0  2  74
3  1  4  44

Answer 4

只需使用：

df.loc[df['a']!=df['b']]