In [1]:

    

%matplotlib inline

import seaborn as sns
import pandas as pd
import scipy.io as sio


    

In [2]:

    

mat = sio.loadmat('./data/ex7data1.mat')
mat.keys()


    

    
Out[2]:





dict_keys(['__globals__', '__version__', '__header__', 'X'])

In [3]:

    

data1 = pd.DataFrame(mat.get('X'), columns=['X1', 'X2'])
data1.head()


    

    
Out[3]:






  

    

      

      
X1
      
X2
    
  
  

    

      
0
      
3.381563
      
3.389113
    
    

      
1
      
4.527875
      
5.854178
    
    

      
2
      
2.655682
      
4.411995
    
    

      
3
      
2.765235
      
3.715414
    
    

      
4
      
2.846560
      
4.175506
    
  

In [4]:

    

sns.set(context="notebook", style="white")


    

In [5]:

    

sns.lmplot('X1', 'X2', data=data1, fit_reg=False)


    

    
Out[5]:





<seaborn.axisgrid.FacetGrid at 0x11279a550>






    

In [6]:

    

mat = sio.loadmat('./data/ex7data2.mat')
data2 = pd.DataFrame(mat.get('X'), columns=['X1', 'X2'])
data2.head()


    

    
Out[6]:






  

    

      

      
X1
      
X2
    
  
  

    

      
0
      
1.842080
      
4.607572
    
    

      
1
      
5.658583
      
4.799964
    
    

      
2
      
6.352579
      
3.290854
    
    

      
3
      
2.904017
      
4.612204
    
    

      
4
      
3.231979
      
4.939894
    
  

In [7]:

    

sns.lmplot('X1', 'X2', data=data2, fit_reg=False)


    

    
Out[7]:





<seaborn.axisgrid.FacetGrid at 0x11294b8d0>






    

In [ ]: