In [23]:

    

from bokeh.io import output_notebook, show
from bokeh.charts import Bar
output_notebook()


    

    






    

        
        Loading BokehJS ...
    






    

In [24]:

    

import pandas as pd
from numpy.random import randint


    

In [25]:

    

index = pd.Index([1,2,3,4,5], label='period')
columns = pd.Index(['A', 'B', 'C'], label='categories')
values = randint(10, 100, 15).reshape(5, 3)
values.sort(axis=0)
df = pd.DataFrame(values, index, columns)
original_df = df.copy()


    

In [26]:

    

original_df


    

    
Out[26]:






  

    

      

      
A
      
B
      
C
    
  
  

    

      
1
      
15
      
12
      
23
    
    

      
2
      
26
      
12
      
31
    
    

      
3
      
45
      
48
      
66
    
    

      
4
      
53
      
48
      
75
    
    

      
5
      
82
      
64
      
89
    
  

In [27]:

    

list(randint(10, 100, 15))


    

    
Out[27]:





[48, 36, 84, 29, 92, 70, 46, 26, 23, 15, 14, 60, 87, 26, 66]

In [43]:

    

data = {
    'period': [1, 2, 3, 4, 5] * 3,
    'cat': ['A' ,'B', 'C'] * 5,
    'value': list(randint(10, 100, 15))
}
long_df = pd.DataFrame(data)
long_df = long_df.sort_values(by='cat')
long_df.head()


    

    
Out[43]:






  

    

      

      
cat
      
period
      
value
    
  
  

    

      
0
      
A
      
1
      
33
    
    

      
3
      
A
      
4
      
46
    
    

      
6
      
A
      
2
      
20
    
    

      
9
      
A
      
5
      
63
    
    

      
12
      
A
      
3
      
73
    
  

In [44]:

    

show(Bar(long_df, label='period', values='value', stack='cat', legend=True))


    

    







    








    
Out[44]:




<Bokeh Notebook handle for In[44]>

In [ ]: