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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_rank_mean.py
+9 -12
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@@ -34,19 +34,16 @@ bilateral_result = rank.mean_bilateral(image, selem=selem, s0=500, s1=500)
normal_result = rank.mean(image, selem=selem)
fig, axes = plt.subplots(nrows=3, figsize=(8, 10))
ax0, ax1, ax2 = axes
fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(8, 10), sharex=True, sharey=True)
ax = axes.ravel()
ax0.imshow(np.hstack((image, percentile_result)))
ax0.set_title('Percentile mean')
ax0.axis('off')
titles = ['Original', 'Percentile mean', 'Bilateral mean', 'Local mean']
imgs = [image, percentile_result, bilateral_result, normal_result]
for n in range(0, len(imgs)):
ax[n].imshow(imgs[n])
ax[n].set_title(titles[n])
ax[n].set_adjustable('box-forced')
ax[n].axis('off')
ax1.imshow(np.hstack((image, bilateral_result)))
ax1.set_title('Bilateral mean')
ax1.axis('off')
ax2.imshow(np.hstack((image, normal_result)))
ax2.set_title('Local mean')
ax2.axis('off')
plt.show()