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#Import needed libraries |
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from bokeh.plotting import figure, output_file, show |
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#Genrate data |
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N = 5000 |
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x = np.random.random(size=N) * 100 |
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y = np.random.random(size=N) * 100 |
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radii = np.random.random(size=N) * 1.5 |
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colors = [ |
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"#%02x%02x%02x" % (int(r), int(g), 150) for r, g in zip(50+2*x, 30+2*y) |
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] |
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#Add tools to the interactive plot |
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TOOLS="hover,crosshair,pan,wheel_zoom,zoom_in,zoom_out,box_zoom,undo,redo,reset,tap,save,box_select,poly_select,lasso_select," |
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#Create figure |
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p = figure(tools=TOOLS) |
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#Create plot |
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p.scatter(x, y, radius=radii, |
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fill_color=colors, fill_alpha=0.6, |
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line_color=None) |
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output_file("color_scatter.html", title="color_scatter.py example") |
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#Show plot in a new tab |
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show(p) |