In [1]:

    

import bokeh
bokeh.sampledata.download()


    

    




Creating /home/jupyterhub/.bokeh directory
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In [2]:

    

import time


    

In [3]:

    

from numpy import cumprod, linspace, random


    

In [4]:

    

from bokeh.sampledata.stocks import AAPL, FB, GOOG, IBM, MSFT
from bokeh.plotting import figure, output_notebook, show


    

In [5]:

    

num_points = 300

now = time.time()
dt = 24*3600 # days in seconds
dates = linspace(now, now + num_points*dt, num_points) * 1000 # times in ms
acme = cumprod(random.lognormal(0.0, 0.04, size=num_points))
choam = cumprod(random.lognormal(0.0, 0.04, size=num_points))


    

In [6]:

    

output_notebook()


    

    






    

        
        Loading BokehJS ...
    






    

In [7]:

    

p1 = figure(x_axis_type = "datetime")

p1.line(dates, acme, color='#1F78B4', legend='ACME')
p1.line(dates, choam, color='#FB9A99', legend='CHOAM')

p1.title = "Stock Returns"
p1.grid.grid_line_alpha=0.3

show(p1)


    

    




/venv27/local/lib/python2.7/site-packages/bokeh/core/properties.py:1907: UserWarning: Setting Plot property 'title' using a string was deprecated in 0.12.0,
            and will be removed. The title is now an object on Plot (which holds all of it's
            styling properties). Please use Plot.title.text instead.

            SERVER USERS: If you were using plot.title to have the server update the plot title
            in a callback, you MUST update to plot.title.text as the title object cannot currently
            be replaced after intialization.
            
  """)






    







    

        

    







    
Out[7]:




<Bokeh Notebook handle for In[7]>

In [8]:

    

p2 = figure()

p2.scatter(acme, choam, color='#A6CEE3', legend='close')

p2.title = "ACME / CHOAM Correlations"
p2.grid.grid_line_alpha=0.3

show(p2)


    

    







    

        

    







    
Out[8]:




<Bokeh Notebook handle for In[8]>

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