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# Scatter Profile

Generate a scatterplot.

N | Classic | Base renderer | Ext renderer
--- | --- | --- | ---
20 | 0.22 | 0.14 | 0.14
100 | 0.16 | 0.14 | 0.13
1000 | 0.45 | 0.26 | 0.17
10000 | 3.30 | 1.31 | 0.53
50000 | 19.30 | 6.53 | 1.98

Out:

    20 symbols in 0.03 s
    100 symbols in 0.00 s
    1000 symbols in 0.01 s
    10000 symbols in 0.02 s
    50000 symbols in 0.08 s

    from __future__ import print_function  # only needed for python 2.x
    import matplotlib.pyplot as plt
    import numpy as np

    import time

    # Fixing random state for reproducibility
    np.random.seed(19680801)

    for N in (20, 100, 1000, 10000, 50000):
        tstart = time.time()
        x = 0.9 * np.random.rand(N)
        y = 0.9 * np.random.rand(N)
        s = 20 * np.random.rand(N)
        plt.scatter(x, y, s)
        print('%d symbols in %1.2f s' % (N, time.time() - tstart))

Total running time of the script: ( 0 minutes 0.144 seconds)

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