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19 changes: 10 additions & 9 deletions examples/lines_bars_and_markers/fill_betweenx_demo.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,8 @@
Fill Betweenx Demo
==================

Using ``fill_betweenx`` to color between two horizontal curves.
Using `~.Axes.fill_betweenx` to color along the horizontal direction between
two curves.
"""
import matplotlib.pyplot as plt
import numpy as np
Expand All @@ -13,35 +14,35 @@
x1 = np.sin(2 * np.pi * y)
x2 = 1.2 * np.sin(4 * np.pi * y)

fig, [ax1, ax2, ax3] = plt.subplots(3, 1, sharex=True)
fig, [ax1, ax2, ax3] = plt.subplots(1, 3, sharey=True, figsize=(6, 6))
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Would this demo be helped by constrained_layout=True?

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Not in particular. The main issue is that the suplots were stacked vertically. This squeezes the y axis stongly so that it's hard to see what's going on. I just changed to stacking horizontally. This looks ok even without constrainedlayout. I've linked the result in the first post above.


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

ax2.fill_betweenx(y, x1, 1)
ax2.set_ylabel('(x1, 1)')
ax2.set_title('between (x1, 1)')
ax2.set_xlabel('x')

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

# 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, [ax, ax1] = plt.subplots(2, 1, sharex=True)
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 between where')
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('Now regions with x2 > 1 are masked')
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
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