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This IPython Notebook contains simple examples of the line function. To clear all previously rendered cell outputs, select from the menu: Cell -> All Output -> Clear



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import time

import numpy as np
from bokeh.io import push_notebook, show, output_notebook
from bokeh.models import HoverTool
from bokeh.plotting import figure 
output_notebook()



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N = 1000
x = np.random.random(size=N) * 100
y = np.random.random(size=N) * 100
radii = np.random.random(size=N) * 2
colors = ["#%02x%02x%02x" % (int(r), int(g), 150) for r, g in zip(50+2*x, 30+2*y)]



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TOOLS="crosshair,pan,wheel_zoom,box_zoom,reset,tap,box_select,lasso_select"

p = figure(tools=TOOLS)
p.axis.major_label_text_font_size = "18pt"
hover = HoverTool(tooltips=None, mode="vline")
p.add_tools(hover)
r = p.circle(x,y, radius=radii, 
             fill_color=colors, fill_alpha=0.6, line_color=None, 
             hover_fill_color="black", hover_fill_alpha=0.7, hover_line_color=None)



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# get and explicit handle to update the next show cell with
target = show(p, notebook_handle=True)



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i = 0
while True:
    i +=1 
    p.title.text = str(i)
    
    r.data_source.data['radius'] = radii * (2 + np.sin(i/5))
    
    x = r.data_source.data['x']
    y = r.data_source.data['y']
    d = np.sqrt((x-50)**2 + (y-50)**2)/100
    rand = 2 * (np.random.random(size=N) - 0.5)
    r.data_source.data['x'] = x + 2 * np.sin(d) * rand
    r.data_source.data['y'] = y + np.cos(d**2) * rand
    
    p.axis.major_label_text_color = r.data_source.data['fill_color'][int(i%N)]

    # push updates to the plot continuously using the handle (intererrupt the notebook kernel to stop)
    push_notebook(handle=target)
    time.sleep(0.1)



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# Update the hover glyph propertes using the explicit handle (go hover over the plot)
r.hover_glyph.fill_color = "white"
r.hover_glyph.fill_alpha = 0.5
hover.mode = "vline"
push_notebook()



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