import matplotlib.pyplot as plt
import numpy as np
import PIL
def show_images(images, rows = 1, titles = None):
"""Display a list of images in a single figure with matplotlib.
Parameters
---------
images: List of np.arrays compatible with plt.imshow.
rows (Default = 1): Number of rows in figure
titles: List of titles corresponding to each image. Must have
the same length as titles.
"""
assert((titles is None)or (len(images) == len(titles)))
# both Image type and numpy.array element can be display
if isinstance(images[0], PIL.Image.Image):
images = [np.asarray(img) for img in images]
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(rows, np.ceil(n_images/float(rows)), n + 1)
if image.ndim == 2:
plt.gray()
plt.imshow(image)
a.set_title(title)
plt.xticks([])
plt.yticks([])
fig.set_size_inches(np.array(fig.get_size_inches()) * n_images)
plt.show()