In [8]:

    

import pandas as pd
import seaborn as sns
sns.set(context="notebook", style="whitegrid", palette="dark")

%matplotlib inline


    

In [9]:

    

df = pd.read_csv('ex1data1.txt', names=['population', 'profit'])


    

In [10]:

    

df.head()


    

    
Out[10]:






  

    

      

      
population
      
profit
    
  
  

    

      
0
      
6.1101
      
17.5920
    
    

      
1
      
5.5277
      
9.1302
    
    

      
2
      
8.5186
      
13.6620
    
    

      
3
      
7.0032
      
11.8540
    
    

      
4
      
5.8598
      
6.8233
    
  

In [11]:

    

df.info()


    

    




<class 'pandas.core.frame.DataFrame'>
RangeIndex: 97 entries, 0 to 96
Data columns (total 2 columns):
population    97 non-null float64
profit        97 non-null float64
dtypes: float64(2)
memory usage: 1.6 KB

In [12]:

    

sns.lmplot('population', 'profit', df, size=6, fit_reg=False)


    

    
Out[12]:





<seaborn.axisgrid.FacetGrid at 0x114b9e080>






    

In [ ]: