diff --git a/tutorials/colors/colormapnorms.py b/tutorials/colors/colormapnorms.py
index dd28fe07f230..7bdeb9c5c893 100644
--- a/tutorials/colors/colormapnorms.py
+++ b/tutorials/colors/colormapnorms.py
@@ -12,10 +12,10 @@
 case).
 
 Matplotlib does this mapping in two steps, with a normalization from
-[0, 1] occurring first, and then mapping onto the indices in the
-colormap.  Normalizations are classes defined in the
-:func:`matplotlib.colors` module.  The default, linear normalization is
-:func:`matplotlib.colors.Normalize`.
+the input data to [0, 1] occurring first, and then mapping onto the
+indices in the colormap.  Normalizations are classes defined in the
+:func:`matplotlib.colors` module.  The default, linear normalization
+is :func:`matplotlib.colors.Normalize`.
 
 Artists that map data to color pass the arguments *vmin* and *vmax* to
 construct a :func:`matplotlib.colors.Normalize` instance, then call it:
@@ -41,6 +41,7 @@
 :math:`log_{10}`.  In the example below, there are two bumps, one much smaller
 than the other. Using `.colors.LogNorm`, the shape and location of each bump
 can clearly be seen:
+
 """
 import numpy as np
 import matplotlib.pyplot as plt