#Import needed libraries
from bokeh.plotting import figure, output_file, show
#Genrate data
N = 5000
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)
]
#Add tools to the interactive plot
TOOLS="hover,crosshair,pan,wheel_zoom,zoom_in,zoom_out,box_zoom,undo,redo,reset,tap,save,box_select,poly_select,lasso_select,"
#Create figure
p = figure(tools=TOOLS)
#Create plot
p.scatter(x, y, radius=radii,
fill_color=colors, fill_alpha=0.6,
line_color=None)
output_file("color_scatter.html", title="color_scatter.py example")
#Show plot in a new tab
show(p)
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