In [102]:

    

import matplotlib.pyplot as plt
%matplotlib inline
import mpld3
import numpy as np
import pandas as pd


    

In [103]:

    

# Create test dataset
dat = pd.DataFrame({'one': np.random.normal(size=1000), 
                    'two': np.random.normal(loc=0.1, size=1000), 
                    'three': np.random.normal(loc=-0.1, size=1000)
                    })

dat.head(3)


    

    
Out[103]:






  

    

      

      
one
      
three
      
two
    
  
  

    

      
0
      
0.618650
      
-0.299517
      
-0.408002
    
    

      
1
      
-0.729034
      
0.676223
      
-0.560406
    
    

      
2
      
-0.290377
      
1.211442
      
0.669659
    
  

In [104]:

    

dat.plot(kind='kde')


    

    
Out[104]:





<matplotlib.axes.AxesSubplot at 0x7f5f0bc19c50>






    

In [112]:

    

fig, ax = plt.subplots(figsize=(8,8))
density = dat.plot(kind='kde', ax=ax)
labels = [x.get_label() for x in density.get_lines()]

t1 = mpld3.plugins.LineLabelTooltip(density.get_lines()[0], labels[0])
t2 = mpld3.plugins.LineLabelTooltip(density.get_lines()[1], labels[1])
t3 = mpld3.plugins.LineLabelTooltip(density.get_lines()[2], labels[2])

mpld3.plugins.connect(fig, t1, t2, t3)
mpld3.display()


    

    
Out[112]:

In [ ]: