diff --git a/doc/examples/plot_adapt_rgb.py b/doc/examples/plot_adapt_rgb.py
index e349d35d..f6aca943 100644
--- a/doc/examples/plot_adapt_rgb.py
+++ b/doc/examples/plot_adapt_rgb.py
@@ -47,7 +47,7 @@ import matplotlib.pyplot as plt
 
 image = data.astronaut()
 
-fig = plt.figure( figsize=(14,7) )
+fig = plt.figure(figsize=(14, 7))
 ax_each = fig.add_subplot(121)
 ax_hsv  = fig.add_subplot(122)
 
@@ -57,7 +57,7 @@ ax_each.set_xticks([]), ax_each.set_yticks([])
 ax_each.set_title("Sobel filter computed\n on individual RGB channels")
 
 # We use 1 - sobel_hsv(image) but this will not work if image is not normalized
-ax_hsv.imshow( rescale_intensity((1-sobel_hsv(image))))
+ax_hsv.imshow(rescale_intensity(1 - sobel_hsv(image)))
 ax_hsv.set_xticks([]), ax_hsv.set_yticks([])
 ax_hsv.set_title("Sobel filter computed\n on (V)alue converted image (HSV)")
 
@@ -105,11 +105,11 @@ Finally, we can use this handler with ``adapt_rgb`` just as before:
 def sobel_gray(image):
     return filters.sobel(image)
 
-fig = plt.figure( figsize=(7,7) )
+fig = plt.figure(figsize=(7, 7))
 ax = fig.add_subplot(111)
 
 # We use 1 - sobel_gray(image) but this will not work if image is not normalized 
-ax.imshow( rescale_intensity(1-sobel_gray(image)), cmap=plt.cm.gray)
+ax.imshow( rescale_intensity(1 - sobel_gray(image)), cmap=plt.cm.gray)
 ax.set_xticks([]), ax.set_yticks([])
 ax.set_title("Sobel filter computed\n on the converted grayscale image")