-
-
Save Jojozzc/72877088d051190b5f1afe98b417dd57 to your computer and use it in GitHub Desktop.
Plot multiple images with matplotlib in a single figure. Titles can be given optionally as second argument.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment