Filter by single column
import numpy as np
import pandas as pd
df = pd.read_csv('abc.csv')
df.shape
(7, 5)
df
student | language | science | maths | history | |
---|---|---|---|---|---|
0 | kumar | 90 | 56 | 34 | 34 |
1 | kevin | 10 | 34 | 32 | 67 |
2 | sammy | 90 | 23 | 12 | 32 |
3 | janice | 20 | 67 | 90 | 45 |
4 | peter | 30 | 56 | 45 | 65 |
5 | prem | 90 | 45 | 45 | 34 |
6 | carrol | 50 | 90 | 45 | 23 |
# We will get the students whoever passed science (considering 50 is the pass mark)
df_passed_science = df[df.science > 50]
df_passed_science
student | language | science | maths | history | |
---|---|---|---|---|---|
0 | kumar | 90 | 56 | 34 | 34 |
3 | janice | 20 | 67 | 90 | 45 |
4 | peter | 30 | 56 | 45 | 65 |
6 | carrol | 50 | 90 | 45 | 23 |