diff --git a/doc/examples/plot_entropy2.py b/doc/examples/plot_entropy2.py
index 10364089..1c596e19 100644
--- a/doc/examples/plot_entropy2.py
+++ b/doc/examples/plot_entropy2.py
@@ -12,27 +12,27 @@ import numpy as np
 from skimage.filters.rank import entropy
 from skimage.morphology import disk
 
-noise_mask = 28*np.ones((128,128),dtype=np.uint8)
-noise_mask[32:-32,32:-32] = 30
+noise_mask = 28*np.ones((128, 128), dtype=np.uint8)
+noise_mask[32:-32, 32:-32] = 30
 
 noise = (noise_mask*np.random.random(noise_mask.shape)-.5*noise_mask).astype(np.uint8)
 img = noise + 128
 
 radius = 10
-e = entropy(img,disk(radius))
+e = entropy(img, disk(radius))
 
-plt.figure(figsize=[15,5])
-plt.subplot(1,3,1)
-plt.imshow(noise_mask,cmap=plt.cm.gray)
+plt.figure(figsize=[15, 5])
+plt.subplot(1, 3, 1)
+plt.imshow(noise_mask, cmap=plt.cm.gray)
 plt.xlabel('noise mask')
 plt.colorbar()
-plt.subplot(1,3,2)
-plt.imshow(img,cmap=plt.cm.gray)
+plt.subplot(1, 3, 2)
+plt.imshow(img, cmap=plt.cm.gray)
 plt.xlabel('noised image')
 plt.colorbar()
-plt.subplot(1,3,3)
+plt.subplot(1, 3, 3)
 plt.imshow(e)
-plt.xlabel('image local entropy ($r=%d$)'%radius)
+plt.xlabel('image local entropy ($r=%d$)' % radius)
 plt.colorbar()
 
 plt.show()