In [20]:

    

from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, show, output_notebook

import numpy as np


    

In [21]:

    

x = np.linspace(0, 2*np.pi, 2000)
y = np.sin(x)


    

In [22]:

    

output_notebook()


    

    





    


    

    

        
        BokehJS successfully loaded.
    

In [23]:

    

from bokeh.models import ColumnDataSource


    

In [24]:

    

source = ColumnDataSource(data=dict(x=x, y=y))

p = figure(title="simple line example", plot_height=300, plot_width=600)
p.line(x, y, color="#2222aa", line_width=3, source=source, name="foo")


    

    
Out[24]:





<bokeh.models.renderers.GlyphRenderer at 0x110823710>

In [25]:

    

def update(f, w=1, A=1, phi=0):
    if   f == "sin": func = np.sin
    elif f == "cos": func = np.cos
    elif f == "tan": func = np.tan
    source.data['y'] = A * func(w * x + phi)
    source.push_notebook()


    

In [26]:

    

show(p)


    

In [27]:

    

from IPython.html.widgets import interact
interact(update, f=["sin", "cos", "tan"], w=(0,100), A=(1,10), phi=(0, 10, 0.1))


    

    















    
Out[27]:





<function __main__.update>

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