# # Creating a Plot to Share
# In[1]:
import pandas as pd
from bokeh.plotting import figure
AAPL = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000&d=0&e=1&f=2015",
parse_dates=['Date'])
MSFT = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=MSFT&a=0&b=1&c=2000&d=0&e=1&f=2015",
parse_dates=['Date'])
IBM = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=IBM&a=0&b=1&c=2000&d=0&e=1&f=2015",
parse_dates=['Date'])
def stock_chart():
p = figure(x_axis_type="datetime", width=700, height=300)
p.line(AAPL['Date'], AAPL['Adj Close'], color='#A6CEE3', legend='AAPL')
p.line(IBM['Date'], IBM['Adj Close'], color='#33A02C', legend='IBM')
p.line(MSFT['Date'], MSFT['Adj Close'], color='#FB9A99', legend='MSFT')
p.title.text = "Stock Closing Prices"
p.grid.grid_line_alpha=0.3
p.xaxis.axis_label = 'Date'
p.yaxis.axis_label = 'Price'
p.legend.location = "top_left"
return p
# Embed functions all look for a Plot object. Common plot objects are:
# * `Plot` from models
# * `figure` from plotting
# * `Chart` from charts
# * `row`, `column` from layouts
# # Displaying in the Notebook
# In[2]:
from bokeh.io import output_notebook, show
# In[3]:
output_notebook()
# In[4]:
p = stock_chart()
show(p)
# # Saving to an HTML File
# In[5]:
from bokeh.io import output_file, show
# In[6]:
output_file("tutorial_sharing.html")
# In[7]:
p = stock_chart()
show(p) # save(p) will save without opening a new browser tab
# # Templating in HTML Documents
# In[8]:
import jinja2
from bokeh.embed import components
# In[9]:
# IMPORTANT NOTE!! The version of BokehJS loaded in the template should match
# the version of Bokeh installed locally.
template = jinja2.Template("""
Hello Bokeh!
Below is a simple plot of stock closing prices
{{ script }}
{{ div }}
""")
# In[10]:
p = stock_chart()
script, div = components(p)
# In[11]:
from IPython.display import HTML
HTML(template.render(script=script, div=div))
# In[12]:
# Uncomment to test flask (requires "conda install flask")
#from flask import Flask
#app = Flask(__name__)
#
#@app.route('/')
#def hello_bokeh():
# return template.render(script=script, div=div)
# In[13]:
# Uncomment to run the Flask Server. Use Kernel -> Interrupt from Notebook menubar to stop
#app.run(port=5050)
# In[14]:
# EXERCISE: Create your own template (or modify the one above)
#
#