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# Fill Betweenx Demo

    import matplotlib.mlab as mlab
    from matplotlib.pyplot import figure, show
    import numpy as np

    y = np.arange(0.0, 2, 0.01)
    x1 = np.sin(2*np.pi*y)
    x2 = 1.2*np.sin(4*np.pi*y)

    fig = figure()
    ax1 = fig.add_subplot(311)
    ax2 = fig.add_subplot(312, sharex=ax1)
    ax3 = fig.add_subplot(313, sharex=ax1)

    ax1.fill_betweenx(y, 0, x1)
    ax1.set_ylabel('(x1, 0)')

    ax2.fill_betweenx(y, x1, 1)
    ax2.set_ylabel('(x1, 1)')

    ax3.fill_betweenx(y, x1, x2)
    ax3.set_ylabel('(x1, x2)')
    ax3.set_xlabel('x')

    # now fill between x1 and x2 where a logical condition is met.  Note
    # this is different than calling
    #   fill_between(y[where], x1[where], x2[where])
    # because of edge effects over multiple contiguous regions.

    fig = figure()
    ax = fig.add_subplot(211)
    ax.plot(x1, y, x2, y, color='black')
    ax.fill_betweenx(y, x1, x2, where=x2 >= x1, facecolor='green')
    ax.fill_betweenx(y, x1, x2, where=x2 <= x1, facecolor='red')
    ax.set_title('fill between where')

    # Test support for masked arrays.
    x2 = np.ma.masked_greater(x2, 1.0)
    ax1 = fig.add_subplot(212, sharex=ax)
    ax1.plot(x1, y, x2, y, color='black')
    ax1.fill_betweenx(y, x1, x2, where=x2 >= x1, facecolor='green')
    ax1.fill_betweenx(y, x1, x2, where=x2 <= x1, facecolor='red')
    ax1.set_title('Now regions with x2 > 1 are masked')

    # This example illustrates a problem; because of the data
    # gridding, there are undesired unfilled triangles at the crossover
    # points.  A brute-force solution would be to interpolate all
    # arrays to a very fine grid before plotting.

    show()

Total running time of the script: ( 0 minutes 0.121 seconds)

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