Example
import pandas as pd
generate random DF
df = pd.DataFrame(np.random.randint(0,10,size=(10, 3)), columns=list('ABC'))
In [16]: print(df)
A B C
0 4 1 4
1 0 2 0
2 7 8 8
3 2 1 9
4 7 3 8
5 4 0 7
6 1 5 5
7 6 7 8
8 6 7 3
9 6 4 5
select rows where values in column A > 2 and values in column B < 5
In [18]: df.query('A > 2 and B < 5')
Out[18]:
A B C
0 4 1 4
4 7 3 8
5 4 0 7
9 6 4 5
using .query() method with variables for filtering
In [23]: B_filter = [1,7]
In [24]: df.query('B == @B_filter')
Out[24]:
A B C
0 4 1 4
3 2 1 9
7 6 7 8
8 6 7 3
In [25]: df.query('@B_filter in B')
Out[25]:
A B C
0 4 1 4
