#!/usr/bin/env python
# coding: utf-8

# # Bokeh.js streaming
# 
# Bokeh.js supports streaming data to a notebook.
# The basics are:
# 
# 1. modify a bokeh data source
# 2. call `data_source.push_notebook()` to update the display

# In[1]:


# from http://stackoverflow.com/questions/28051780/memory-overflows-when-streaming-data-using-bokeh-push-notebook
from bokeh.plotting import figure, show, output_notebook
import numpy as np

output_notebook()

x = np.linspace(0., 1000., 1000)
p = figure()
p.line(x = x, y = np.sin(x), name = 'y')

def update():
    renderer = p.select(dict(name='y'))
    # modify the data in the plot:
    ds = renderer[0].data_source
    ds.data['y'] = np.sin(a * x)
    # push_notebook sends updates to the browser:
    ds.push_notebook()

show(p)

a = 1.
for i in range(50):
    update()
    a *= 1.1


# In[ ]: