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adding axes sharing to displays of related images

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for better interaction

sharing achieved by setting sharex and sharey, and
setting the axes 'adjustable' parameter to 'box-forced'
This commit is contained in:
martin
2015-10-12 15:58:57 +02:00
parent 8ff6d2d8e3
commit 9fa9c0387c
24 changed files with 105 additions and 54 deletions
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doc/examples/plot_regional_maxima.py
+8 -2
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@@ -36,7 +36,10 @@ Subtracting the dilated image leaves an image with just the coins and a flat,
black background, as shown below.
"""
fig, (ax1, ax2, ax3) = plt.subplots(ncols=3, figsize=(8, 2.5))
fig = plt.figure(figsize=(8, 2.5))
ax1 = plt.subplot(1, 3, 1, adjustable='box-forced')
ax2 = plt.subplot(1, 3, 2, sharex=ax1, sharey=ax1, adjustable='box-forced')
ax3 = plt.subplot(1, 3, 3, sharex=ax1, sharey=ax1, adjustable='box-forced')
ax1.imshow(image)
ax1.set_title('original image')
@@ -76,7 +79,10 @@ mask, seed, and dilated images along a slice of the image (indicated by red
line).
"""
fig, (ax1, ax2, ax3) = plt.subplots(ncols=3, figsize=(8, 2.5))
fig = plt.figure(figsize=(8, 2.5))
ax1 = plt.subplot(1, 3, 1)
ax2 = plt.subplot(1, 3, 2, adjustable='box-forced')
ax3 = plt.subplot(1, 3, 3, sharex=ax2, sharey=ax2, adjustable='box-forced')
yslice = 197