In [8]:

    

%pylab inline
import pandas as pd
import seaborn as sns


    

    




Populating the interactive namespace from numpy and matplotlib

In [ ]:

    

df = pd.read_excel


    

In [7]:

    

a = {'a': 1, 'b': 2}
pd.DataFrame(a.items(), columns=['x', 'y']).T


    

    
Out[7]:







  

    

      

      
0
      
1
    
  
  

    

      
x
      
a
      
b
    
    

      
y
      
1
      
2
    
  

In [11]:

    

df = pd.read_table('/staging/as/skchoudh/re-ribo-analysis/SRP017942_human_newPipeline_v2/periodicity/SRX217030.tsv', index_col=0)


    

In [16]:

    

sns.heatmap(df.T, cmap='Blues', square=True)


    

    
Out[16]:





<matplotlib.axes._subplots.AxesSubplot at 0x2b8b8cd78510>






    

In [ ]: