In [1]:

    

%pylab inline
from biokit.viz import Imshow


    

    




Populating the interactive namespace from numpy and matplotlib

In [2]:

    

data = numpy.random.randn(10,10)


    

In [3]:

    

imshow(data) # this is the default behaviour in matplotlib


    

    
Out[3]:





<matplotlib.image.AxesImage at 0x7ff1d60f5da0>






    

In [4]:

    

im = Imshow(data)
im.plot(cmap='jet')


    

In [5]:

    

import pandas as pd
df = pd.DataFrame({'A':[1,2], 'B':[3,4]}, index=['X','Y'])
df


    

    
Out[5]:







  

    

      

      
A
      
B
    
  
  

    

      
X
      
1
      
3
    
    

      
Y
      
2
      
4
    
  

In [6]:

    

# by default xticks are rotated by 90 degrees since names could be long 
# but in this example names are short, so we reset the rotation.
Imshow(df).plot(rotation_x=0)


    

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