import numpy as np
import pandas as pd


data = pd.read_csv('c.csv')
print(data)
data['A'] = data['A'].apply(lambda x: np.nan if x in range(1,10,1) else x)
data['B'] = data['B'].apply(lambda x: np.nan if x in range(10,20,1) else x)
data['C'] = data['C'].apply(lambda x: np.nan if x in range(20,30,1) else x)
print(data)
data = data.dropna()
print(data)

A   B   C
0   1  10  20
1   2  11  22
2   4  15  25
3   8  20  30
4  12  25  35
5  18  40  55
6  20  45  60

A     B     C
0   NaN   NaN   NaN
1   NaN   NaN   NaN
2   NaN   NaN   NaN
3   NaN  20.0  30.0
4  12.0  25.0  35.0
5  18.0  40.0  55.0
6  20.0  45.0  60.0

A     B     C
4  12.0  25.0  35.0
5  18.0  40.0  55.0
6  20.0  45.0  60.0