In [8]:

    

from datetime import timedelta
import requests
from io import StringIO

import numpy as np
import pandas as pd

from bokeh.io import gridplot
from bokeh.plotting import figure, show, output_notebook


    

In [9]:

    

symbols = ['AAPL', 'GOOG']


    

In [10]:

    

def get_data(symbol):
    url = 'http://chartapi.finance.yahoo.com/instrument/1.0/{}/chartdata;type=quote;range=1d/csv'.format(symbol)
    raw = requests.get(url).text
    lines = raw.splitlines()
    field_names = []
    
    header_lines = list(filter(lambda line:':' in line, lines))
    for line in header_lines:
        if line.startswith('values:'):
            field_names = line.split(':')[1].split(',')
    
    data = pd.read_csv(StringIO(raw), header=len(header_lines), names=field_names)
    data['time'] = data['Timestamp'].astype('M8[s]') - timedelta(hours=4)
    del data['Timestamp']
    
    start = data['close'][0]
    data['chg'] = (data['close'] / start - 1.0) * 100.0
    return data


    

In [11]:

    

data = list(map(get_data, symbols))


    

In [12]:

    

p1 = figure(x_axis_type="datetime", title="Today's % Change", plot_width=400, plot_height=400)
p1.grid.grid_line_alpha=0.3
p1.xaxis.axis_label = 'Time'
p1.yaxis.axis_label = '% Change'

p1.line(data[0]['time'], data[0]['chg'], color='#A6CEE3', legend=symbols[0])
p1.line(data[1]['time'], data[1]['chg'], color='#B2DF8A', legend=symbols[1])
p1.legend.location = "top_left"


    

In [13]:

    

p2 = figure(title="% Change Comparison", plot_width=400, plot_height=400)
p2.grid.grid_line_alpha = 0
p2.xaxis.axis_label = '{} % Change'.format(symbols[0])
p2.yaxis.axis_label = '{} % Change'.format(symbols[1])

p2.circle(data[0]['chg'], data[1]['chg'], size=4, legend='change',
          color='darkgrey', alpha=.5)

p2.legend.location = "top_left"


    

In [14]:

    

output_notebook()
show(gridplot([[p1,p2]]))


    

    






    

        
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Out[14]:




<Bokeh Notebook handle for In[14]>