Min Max Avg as new Columns

import numpy as np
import pandas as pd
df = pd.read_csv('abc.csv')
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 
df['min'] = df.min(axis=1)
df['max'] = df.max(axis=1)
df['avg'] = df.mean(axis=1)
df
student language science maths history min max avg
0 kumar 90 56 34 34 34 90 56.333333
1 kevin 10 34 32 67 10 67 36.666667
2 sammy 90 23 12 32 12 90 43.166667
3 janice 20 67 90 45 20 90 55.333333
4 peter 30 56 45 65 30 65 48.500000
5 prem 90 45 45 34 34 90 56.333333
6 carrol 50 90 45 23 23 90 53.500000 
df['avg_int'] = df.mean(axis=1).astype(int)
df
student language science maths history min max avg avg_int
0 kumar 90 56 34 34 34 90 56.333333 56
1 kevin 10 34 32 67 10 67 36.666667 36
2 sammy 90 23 12 32 12 90 43.166667 43
3 janice 20 67 90 45 20 90 55.333333 55
4 peter 30 56 45 65 30 65 48.500000 48
5 prem 90 45 45 34 34 90 56.333333 56
6 carrol 50 90 45 23 23 90 53.500000 53