Showing content from http://matplotlib.org/api/../mpl_examples/pylab_examples/fill_betweenx_demo.py below:
""" Copy of fill_between.py but using fill_betweenx() instead. """ import matplotlib.mlab as mlab from matplotlib.pyplot import figure, show import numpy as np x = np.arange(0.0, 2, 0.01) y1 = np.sin(2*np.pi*x) y2 = 1.2*np.sin(4*np.pi*x) fig = figure() ax1 = fig.add_subplot(311) ax2 = fig.add_subplot(312, sharex=ax1) ax3 = fig.add_subplot(313, sharex=ax1) ax1.fill_betweenx(x, 0, y1) ax1.set_ylabel('(y1, 0)') ax2.fill_betweenx(x, y1, 1) ax2.set_ylabel('(y1, 1)') ax3.fill_betweenx(x, y1, y2) ax3.set_ylabel('(y1, y2)') ax3.set_xlabel('x') # now fill between y1 and y2 where a logical condition is met. Note # this is different than calling # fill_between(x[where], y1[where],y2[where] # because of edge effects over multiple contiguous regions. fig = figure() ax = fig.add_subplot(211) ax.plot(y1, x, y2, x, color='black') ax.fill_betweenx(x, y1, y2, where=y2 >= y1, facecolor='green') ax.fill_betweenx(x, y1, y2, where=y2 <= y1, facecolor='red') ax.set_title('fill between where') # Test support for masked arrays. y2 = np.ma.masked_greater(y2, 1.0) ax1 = fig.add_subplot(212, sharex=ax) ax1.plot(y1, x, y2, x, color='black') ax1.fill_betweenx(x, y1, y2, where=y2 >= y1, facecolor='green') ax1.fill_betweenx(x, y1, y2, where=y2 <= y1, facecolor='red') ax1.set_title('Now regions with y2 > 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()
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