I am using matplotlib and GridSpec to plot 9 images in 3x3 subplots.
fig = plt.figure(figsize=(30,40))
fig.patch.set_facecolor('white')
gs1 = gridspec.GridSpec(3,3)
gs1.update(wspace=0.05, hspace=0.05)
ax1 = plt.subplot(gs1[0])
ax2 = plt.subplot(gs1[1])
ax3 = plt.subplot(gs1[2])
ax4 = plt.subplot(gs1[3])
ax5 = plt.subplot(gs1[4])
ax6 = plt.subplot(gs1[5])
ax7 = plt.subplot(gs1[6])
ax8 = plt.subplot(gs1[7])
ax9 = plt.subplot(gs1[8])
ax1.imshow(img1,cmap='gray')
ax2.imshow(img2,cmap='gray')
...
ax9.imshow(img9,cmap='gray')
However, the images have a different size from each row. For example, the first-row images size is 256x256, the images in the second row have a size of 200x200 and the third row has a size of 128x128
I want to plot the images in the subplot with same size. How should I use it in python? Thanks
Don't use matplotlib.gridspec
, but use figure.add_subplot
as demonstrated with the runnable code below. However, when doing some plotting, you need to set_autoscale_on(False)
to suppress its behavior of size adjusting.
import numpy as np
import matplotlib.pyplot as plt
# a function that creates image array for `imshow()`
def make_img(h):
return np.random.randint(16, size=(h,h))
fig = plt.figure(figsize=(8, 12))
columns = 3
rows = 4
axs = []
for i in range(columns*rows):
axs.append( fig.add_subplot(rows, columns, i+1) )
# axs[-1] is the new axes, write its title as `axs[number]`
axs[-1].set_title("axs[%d]" % (i))
# plot raster image on this axes
plt.imshow(make_img(i+1), cmap='viridis', alpha=(i+1.)/(rows*columns))
# maniputate axs[-1] here, plot something on it
axs[-1].set_autoscale_on(False) # suppress auto sizing
axs[-1].plot(np.random.randint(2*(i+1), size=(i+1)), color="red", linewidth=2.5)
fig.subplots_adjust(wspace=0.3, hspace=0.4)
plt.show()
The resulting plot:
I suppose you want to show the images in different sizes, such that all pixels of the different images are equally sized.
This is in general hard, but for the case where all images in a row (or column) of the subplot grid are of the same size, it becomes easy. The idea can be to use the gridspec's height_ratios
(or width_ratios
in case of columns) argument and set it to the image's pixel height (width).
import matplotlib.pyplot as plt
import numpy as np
images = [np.random.rand(r,r) for r in [25,20,12] for _ in range(3)]
r = [im.shape[0] for im in images[::3]]
fig, axes = plt.subplots(3,3, gridspec_kw=dict(height_ratios=r, hspace=0.3))
for ax, im in zip(axes.flat, images):
ax.imshow(im)
plt.show()
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.