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DOC: refactor axes with lists

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François Boulogne
2016-06-07 16:31:02 +02:00
parent 47d0aa9d62
commit f877491f58
8 changed files with 195 additions and 194 deletions
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doc/examples/segmentation/plot_marked_watershed.py
+15 -13
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@@ -46,21 +46,23 @@ labels = watershed(gradient, markers)
# display results
fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(8, 8), sharex=True, sharey=True, subplot_kw={'adjustable':'box-forced'})
axes = axes.ravel()
ax0, ax1, ax2, ax3 = axes
ax = axes.ravel()
ax0.imshow(image, cmap=plt.cm.gray, interpolation='nearest')
ax0.set_title("Original")
ax1.imshow(gradient, cmap=plt.cm.spectral, interpolation='nearest')
ax1.set_title("Local Gradient")
ax2.imshow(markers, cmap=plt.cm.spectral, interpolation='nearest')
ax2.set_title("Markers")
ax3.imshow(image, cmap=plt.cm.gray, interpolation='nearest')
ax3.imshow(labels, cmap=plt.cm.spectral, interpolation='nearest', alpha=.7)
ax3.set_title("Segmented")
ax[0].imshow(image, cmap=plt.cm.gray, interpolation='nearest')
ax[0].set_title("Original")
for ax in axes:
ax.axis('off')
ax[1].imshow(gradient, cmap=plt.cm.spectral, interpolation='nearest')
ax[1].set_title("Local Gradient")
ax[2].imshow(markers, cmap=plt.cm.spectral, interpolation='nearest')
ax[2].set_title("Markers")
ax[3].imshow(image, cmap=plt.cm.gray, interpolation='nearest')
ax[3].imshow(labels, cmap=plt.cm.spectral, interpolation='nearest', alpha=.7)
ax[3].set_title("Segmented")
for a in ax:
a.axis('off')
fig.tight_layout()
plt.show()
doc/examples/segmentation/plot_peak_local_max.py
+14 -14
View File
@@ -25,22 +25,22 @@ image_max = ndi.maximum_filter(im, size=20, mode='constant')
coordinates = peak_local_max(im, min_distance=20)
# display results
fig, ax = plt.subplots(1, 3, figsize=(8, 3), sharex=True, sharey=True,
subplot_kw={'adjustable': 'box-forced'})
ax1, ax2, ax3 = ax.ravel()
ax1.imshow(im, cmap=plt.cm.gray)
ax1.axis('off')
ax1.set_title('Original')
fig, axes = plt.subplots(1, 3, figsize=(8, 3), sharex=True, sharey=True,
subplot_kw={'adjustable': 'box-forced'})
ax = axes.ravel()
ax[0].imshow(im, cmap=plt.cm.gray)
ax[0].axis('off')
ax[0].set_title('Original')
ax2.imshow(image_max, cmap=plt.cm.gray)
ax2.axis('off')
ax2.set_title('Maximum filter')
ax[1].imshow(image_max, cmap=plt.cm.gray)
ax[1].axis('off')
ax[1].set_title('Maximum filter')
ax3.imshow(im, cmap=plt.cm.gray)
ax3.autoscale(False)
ax3.plot(coordinates[:, 1], coordinates[:, 0], 'r.')
ax3.axis('off')
ax3.set_title('Peak local max')
ax[2].imshow(im, cmap=plt.cm.gray)
ax[2].autoscale(False)
ax[2].plot(coordinates[:, 1], coordinates[:, 0], 'r.')
ax[2].axis('off')
ax[2].set_title('Peak local max')
fig.tight_layout()