@@ -5,21 +5,18 @@
 
 Demonstration of using norm to map colormaps onto data in non-linear ways.
 
+Here we plot data that has two humps, one negative and one positive.
+The positive humpy has 5-times the amplitude of the negative.
+With a linear scale you cannot see detail in the negative hump.
+So we logarithmically scale the positive and negative data separately.
+
 .. redirect-from:: /gallery/userdemo/colormap_normalization_symlognorm
 """
 
 import numpy as np
 import matplotlib.pyplot as plt
 import matplotlib.colors as colors
 
-"""
-SymLogNorm: two humps, one negative and one positive, The positive
-with 5-times the amplitude. Linearly, you cannot see detail in the
-negative hump.  Here we logarithmically scale the positive and
-negative data separately.
-
-Note that colorbar labels do not come out looking very good.
-"""
 
 N = 100
 X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)]
 
@@ -989,12 +989,10 @@ def trigger(self, *args, **kwargs):
                  'help': ToolHelpBase,
                  'copy': ToolCopyToClipboardBase,
                  }
-"""Default tools"""
 
 default_toolbar_tools = [['navigation', ['home', 'back', 'forward']],
                          ['zoompan', ['pan', 'zoom', 'subplots']],
                          ['io', ['save', 'help']]]
-"""Default tools in the toolbar"""
 
 
 def add_tools_to_manager(toolmanager, tools=default_tools):
 
@@ -210,9 +210,8 @@ def _get_rc_timezone():
     return dateutil.tz.gettz(s)
 
 
-"""
-Time-related constants.
-"""
+# Time-related constants.
+
 EPOCH_OFFSET = float(datetime.datetime(1970, 1, 1).toordinal())
 # EPOCH_OFFSET is not used by matplotlib
 JULIAN_OFFSET = 1721424.5  # Julian date at 0000-12-31