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@soply
Last active January 9, 2024 14:52
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Plot multiple images with matplotlib in a single figure. Titles can be given optionally as second argument.
import matplotlib.pyplot as plt
import numpy as np
def show_images(images, cols = 1, titles = None):
"""Display a list of images in a single figure with matplotlib.
Parameters
---------
images: List of np.arrays compatible with plt.imshow.
cols (Default = 1): Number of columns in figure (number of rows is
set to np.ceil(n_images/float(cols))).
titles: List of titles corresponding to each image. Must have
the same length as titles.
"""
assert((titles is None)or (len(images) == len(titles)))
n_images = len(images)
if titles is None: titles = ['Image (%d)' % i for i in range(1,n_images + 1)]
fig = plt.figure()
for n, (image, title) in enumerate(zip(images, titles)):
a = fig.add_subplot(cols, np.ceil(n_images/float(cols)), n + 1)
if image.ndim == 2:
plt.gray()
plt.imshow(image)
a.set_title(title)
fig.set_size_inches(np.array(fig.get_size_inches()) * n_images)
plt.show()
@h5ng
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h5ng commented Jun 3, 2020

Thanks!

@Ehsan1997
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Was looking to implement this myself, you saved me a lot of minutes. Thank you very much!

@meir412
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meir412 commented Aug 19, 2020

Thanks! matplotlib should implement this :)

@JunyiZhu-AI
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Great!

@tyler8812
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Great work!!

@nathlemma
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Thank you so much!

@AminShahidi98
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It was useful, thank you!

@atgctg
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atgctg commented May 24, 2022

If you're getting the following error like me:

ValueError: Number of rows must be a positive integer

You can fix it by casting the row number to int:

a = fig.add_subplot(int(np.ceil(n_images / float(cols))), cols, n + 1)

Also swapped the args order, number of rows should come first.

@lhfy127
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lhfy127 commented Dec 9, 2023

How to save the multiple-image figure as a new image?

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