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"""
=================
Scientific images
=================
The title of each image indicates the name of the function.
"""
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import skimage as ski
matplotlib.rcParams['font.size'] = 18
images = (
'hubble_deep_field',
'immunohistochemistry',
'lily',
'microaneurysms',
'moon',
'retina',
'shepp_logan_phantom',
'skin',
'cell',
'human_mitosis',
)
for name in images:
caller = getattr(ski.data, name)
image = caller()
plt.figure()
plt.title(name)
if image.ndim == 2:
plt.imshow(image, cmap=plt.cm.gray)
else:
plt.imshow(image)
plt.show()
############################################################################
# Thumbnail image for the gallery
# sphinx_gallery_thumbnail_number = -1
fig, axs = plt.subplots(nrows=3, ncols=3)
for ax in axs.flat:
ax.axis("off")
axs[0, 0].imshow(ski.data.hubble_deep_field())
axs[0, 1].imshow(ski.data.immunohistochemistry())
axs[0, 2].imshow(ski.data.lily())
axs[1, 0].imshow(ski.data.microaneurysms())
axs[1, 1].imshow(ski.data.moon(), cmap=plt.cm.gray)
axs[1, 2].imshow(ski.data.retina())
axs[2, 0].imshow(ski.data.shepp_logan_phantom(), cmap=plt.cm.gray)
axs[2, 1].imshow(ski.data.skin())
further_img = np.full((300, 300), 255)
for xpos in [100, 150, 200]:
further_img[150 - 10 : 150 + 10, xpos - 10 : xpos + 10] = 0
axs[2, 2].imshow(further_img, cmap=plt.cm.gray)
plt.subplots_adjust(wspace=-0.3, hspace=0.1)
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