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Fill Betweenx Demo#
fill_betweenx to color along the horizontal direction between
import matplotlib.pyplot as plt 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, [ax1, ax2, ax3] = plt.subplots(1, 3, sharey=True, figsize=(6, 6)) ax1.fill_betweenx(y, 0, x1) ax1.set_title('between (x1, 0)') ax2.fill_betweenx(y, x1, 1) ax2.set_title('between (x1, 1)') ax2.set_xlabel('x') ax3.fill_betweenx(y, x1, x2) ax3.set_title('between (x1, x2)')
Now fill between x1 and x2 where a logical condition is met. Note this is different than calling:
because of edge effects over multiple contiguous regions.
fig, [ax, ax1] = plt.subplots(1, 2, sharey=True, figsize=(6, 6)) 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_betweenx where') # Test support for masked arrays. x2 = np.ma.masked_greater(x2, 1.0) 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('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.
Total running time of the script: ( 0 minutes 1.140 seconds)