Note: Download data if running for the first time or if you get an error message.


In [1]:
import numpy as np

from bokeh.plotting import figure, show, output_file, output_notebook

N = 4000
x = np.random.random(size=N) * 100
y = np.random.random(size=N) * 100
radii = np.random.random(size=N) * 1.5
colors = [
    "#%02x%02x%02x" % (int(r), int(g), 150) for r, g in zip(50+2*x, 30+2*y)
]

TOOLS="resize,crosshair,pan,wheel_zoom,box_zoom,undo,redo,reset,tap,previewsave,box_select,poly_select,lasso_select"

p = figure(tools=TOOLS)

p.scatter(x, y, radius=radii,
          fill_color=colors, fill_alpha=0.6,
          line_color=None)
output_notebook()
show(p)


Loading BokehJS ...
Out[1]:

<Bokeh Notebook handle for In[1]>


In [ ]: