In [2]:

    

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import  sys

%matplotlib inline


    

In [3]:

    

sys.version


    

    
Out[3]:





'3.6.4 |Anaconda custom (64-bit)| (default, Dec 21 2017, 21:42:08) \n[GCC 7.2.0]'

In [4]:

    

pd.__version__


    

    
Out[4]:





'0.22.0'

In [5]:

    

names = ['Bob','Jessica','Mary','John','Mel']
births = [968, 155, 77, 578, 973]


    

In [6]:

    

dataset = list(zip(names, births))
dataset


    

    
Out[6]:





[('Bob', 968), ('Jessica', 155), ('Mary', 77), ('John', 578), ('Mel', 973)]

In [7]:

    

df = pd.DataFrame(data = dataset, columns=['Names', 'Births'])
df


    

    
Out[7]:







  

    

      

      
Names
      
Births
    
  
  

    

      
0
      
Bob
      
968
    
    

      
1
      
Jessica
      
155
    
    

      
2
      
Mary
      
77
    
    

      
3
      
John
      
578
    
    

      
4
      
Mel
      
973
    
  

In [10]:

    

# Store data
df.to_csv('testexample.csv', index=False, header=False)


    

In [13]:

    

# Get data
df = pd.read_csv('testexample.csv', header=None)
df


    

    
Out[13]:







  

    

      

      
0
      
1
    
  
  

    

      
0
      
Bob
      
968
    
    

      
1
      
Jessica
      
155
    
    

      
2
      
Mary
      
77
    
    

      
3
      
John
      
578
    
    

      
4
      
Mel
      
973
    
  

In [ ]:

    

cou