import pandas as pd
from sklearn.preprocessing import LabelEncoder


data={
    'student':["deva","shankar","vamshi","barath","sohel"],
    'score':[100,90,80,67,96],
    'passorfail':["yes","yes","yes","no","yes"]
}
df=pd.DataFrame(data)
print(df)


label_encoder=LabelEncoder()
df=pd.DataFrame(data)
df['col_encoder']=label_encoder.fit_transform(df['passorfail'])
print(df)

/*output
 student  score passorfail  col_encoder
0     deva    100        yes            1
1  shankar     90        yes            1
2   vamshi     80        yes            1
3     bara     67         no            0
4    sohel     96        yes            1*/