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changed adjustable parameter of axes to 'box-forced'

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this fixes the size of axes around an image for shared axes
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martin
2015-10-12 15:58:57 +02:00
parent 681be3fc58
commit 8ff6d2d8e3
11 changed files with 74 additions and 74 deletions
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doc/examples/plot_line_hough_transform.py
+31 -27
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@@ -77,32 +77,33 @@ image[idx, idx] = 255
h, theta, d = hough_line(image)
fig, ax = plt.subplots(1, 3, figsize=(8, 4), sharex=True, sharey=True)
fig.delaxes(ax[1])
ax[1] = fig.add_subplot(1, 3, 2)
fig = plt.figure(figsize=(8, 4))
ax1 = plt.subplot(1, 3, 1, adjustable='box-forced')
ax2 = plt.subplot(1, 3, 2)
ax3 = plt.subplot(1, 3, 3, sharex=ax1, sharey=ax1, adjustable='box-forced')
ax[0].imshow(image, cmap=plt.cm.gray)
ax[0].set_title('Input image')
ax[0].set_axis_off()
ax1.imshow(image, cmap=plt.cm.gray)
ax1.set_title('Input image')
ax1.set_axis_off()
ax[1].imshow(np.log(1 + h),
ax2.imshow(np.log(1 + h),
extent=[np.rad2deg(theta[-1]), np.rad2deg(theta[0]),
d[-1], d[0]],
cmap=plt.cm.gray, aspect=1/1.5)
ax[1].set_title('Hough transform')
ax[1].set_xlabel('Angles (degrees)')
ax[1].set_ylabel('Distance (pixels)')
ax[1].axis('image')
ax2.set_title('Hough transform')
ax2.set_xlabel('Angles (degrees)')
ax2.set_ylabel('Distance (pixels)')
ax2.axis('image')
ax[2].imshow(image, cmap=plt.cm.gray)
ax3.imshow(image, cmap=plt.cm.gray)
rows, cols = image.shape
for _, angle, dist in zip(*hough_line_peaks(h, theta, d)):
y0 = (dist - 0 * np.cos(angle)) / np.sin(angle)
y1 = (dist - cols * np.cos(angle)) / np.sin(angle)
ax[2].plot((0, cols), (y0, y1), '-r')
ax[2].axis((0, cols, rows, 0))
ax[2].set_title('Detected lines')
ax[2].set_axis_off()
ax3.plot((0, cols), (y0, y1), '-r')
ax3.axis((0, cols, rows, 0))
ax3.set_title('Detected lines')
ax3.set_axis_off()
# Line finding, using the Probabilistic Hough Transform
@@ -111,22 +112,25 @@ edges = canny(image, 2, 1, 25)
lines = probabilistic_hough_line(edges, threshold=10, line_length=5,
line_gap=3)
fig2, ax = plt.subplots(1, 3, figsize=(8, 3), sharex=True, sharey=True)
fig2 = plt.figure(figsize=(8, 3))
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')
ax[0].imshow(image, cmap=plt.cm.gray)
ax[0].set_title('Input image')
ax[0].set_axis_off()
ax1.imshow(image, cmap=plt.cm.gray)
ax1.set_title('Input image')
ax1.set_axis_off()
ax[1].imshow(edges, cmap=plt.cm.gray)
ax[1].set_title('Canny edges')
ax[1].set_axis_off()
ax2.imshow(edges, cmap=plt.cm.gray)
ax2.set_title('Canny edges')
ax2.set_axis_off()
ax[2].imshow(edges * 0)
ax3.imshow(edges * 0)
for line in lines:
p0, p1 = line
ax[2].plot((p0[0], p1[0]), (p0[1], p1[1]))
ax3.plot((p0[0], p1[0]), (p0[1], p1[1]))
ax[2].set_title('Probabilistic Hough')
ax[2].set_axis_off()
ax3.set_title('Probabilistic Hough')
ax3.set_axis_off()
plt.show()