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changed to plt.subplots()

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Siva Prasad Varma
2014-03-14 20:26:04 +05:30
parent ec61561e49
commit f4bef8d5c8
1 changed files with 20 additions and 22 deletions
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doc/examples/plot_glcm.py
+20 -22
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@@ -53,44 +53,42 @@ for i, patch in enumerate(grass_patches + sky_patches):
ys.append(greycoprops(glcm, 'correlation')[0, 0])
# create the figure
plt.figure(figsize=(8, 8))
fig, ax = plt.subplots(3, 4, figsize=(8, 8))
# display the image patches
for i, patch in enumerate(grass_patches):
plt.subplot(3, len(grass_patches), len(grass_patches) * 1 + i + 1)
plt.imshow(patch, cmap=plt.cm.gray, interpolation='nearest',
ax[1, i].imshow(patch, cmap=plt.cm.gray, interpolation='nearest',
vmin=0, vmax=255)
plt.xlabel('Grass %d' % (i + 1))
ax[1, i].set_xlabel('Grass %d' % (i + 1))
for i, patch in enumerate(sky_patches):
plt.subplot(3, len(grass_patches), len(grass_patches) * 2 + i + 1)
plt.imshow(patch, cmap=plt.cm.gray, interpolation='nearest',
ax[2, i].imshow(patch, cmap=plt.cm.gray, interpolation='nearest',
vmin=0, vmax=255)
plt.xlabel('Sky %d' % (i + 1))
ax[2, i].set_xlabel('Sky %d' % (i + 1))
# display original image with locations of patches
plt.subplot(3, 2, 1)
plt.imshow(image, cmap=plt.cm.gray, interpolation='nearest',
ax1 = fig.add_subplot(321)
ax1.imshow(image, cmap=plt.cm.gray, interpolation='nearest',
vmin=0, vmax=255)
for (y, x) in grass_locations:
plt.plot(x + PATCH_SIZE / 2, y + PATCH_SIZE / 2, 'gs')
ax1.plot(x + PATCH_SIZE / 2, y + PATCH_SIZE / 2, 'gs')
for (y, x) in sky_locations:
plt.plot(x + PATCH_SIZE / 2, y + PATCH_SIZE / 2, 'bs')
plt.xlabel('Original Image')
plt.xticks([])
plt.yticks([])
plt.axis('image')
ax1.plot(x + PATCH_SIZE / 2, y + PATCH_SIZE / 2, 'bs')
ax1.set_xlabel('Original Image')
ax1.set_xticks([])
ax1.set_yticks([])
ax1.axis('image')
# for each patch, plot (dissimilarity, correlation)
plt.subplot(3, 2, 2)
plt.plot(xs[:len(grass_patches)], ys[:len(grass_patches)], 'go',
ax2 = fig.add_subplot(322)
ax2.plot(xs[:len(grass_patches)], ys[:len(grass_patches)], 'go',
label='Grass')
plt.plot(xs[len(grass_patches):], ys[len(grass_patches):], 'bo',
ax2.plot(xs[len(grass_patches):], ys[len(grass_patches):], 'bo',
label='Sky')
plt.xlabel('GLCM Dissimilarity')
plt.ylabel('GLVM Correlation')
plt.legend()
ax2.set_xlabel('GLCM Dissimilarity')
ax2.set_ylabel('GLVM Correlation')
ax2.legend()
# display the patches and plot
plt.suptitle('Grey level co-occurrence matrix features', fontsize=14)
fig.suptitle('Grey level co-occurrence matrix features', fontsize=14)
plt.show()