In [6]:

    

import numpy as np
import pandas as pd
import pickle

data = pd.read_csv('student.csv', header=0)
print(data)


    

    




    tudent ID  name   age  gender
0        1100  Kelly   22  Female
1        1101    Clo   21  Female
2        1102  Tilly   22  Female
3        1103   Tony   24    Male
4        1104  David   20    Male
5        1105  Catty   22  Female
6        1106      M    3  Female
7        1107      N   43    Male
8        1108      A   13    Male
9        1109      S   12    Male
10       1110  David   33    Male
11       1111     Dw    3  Female
12       1112      Q   23    Male
13       1113      W   21  Female

In [4]:

    

#save
data.to_pickle('student.pickle')