diff --git a/doc/users/plotting/colormaps/grayscale.py b/doc/users/plotting/colormaps/grayscale.py
index 605aced8e593..bc4f7c2ef55a 100644
--- a/doc/users/plotting/colormaps/grayscale.py
+++ b/doc/users/plotting/colormaps/grayscale.py
@@ -22,21 +22,23 @@
 
 # Have colormaps separated into categories: http://matplotlib.org/examples/color/colormaps_reference.html
 
-cmaps = [('Sequential',     ['binary', 'Blues', 'BuGn', 'BuPu', 'gist_yarg',
+cmaps = [('Sequential',     ['Blues', 'BuGn', 'BuPu',
                              'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
                              'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
                              'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
-         ('Sequential2', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
-                             'gist_gray', 'gist_heat', 'gray', 'hot', 'pink',
+         ('Sequential (2)', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
+                             'gist_heat', 'gray', 'hot', 'pink',
                              'spring', 'summer', 'winter']),
          ('Diverging',      ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
-                             'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'seismic']),
-         ('Qualitative',    ['Accent', 'Dark2', 'hsv', 'Paired', 'Pastel1',
-                             'Pastel2', 'Set1', 'Set2', 'Set3', 'spectral']),
-         ('Miscellaneous',  ['gist_earth', 'gist_ncar', 'gist_rainbow',
-                             'gist_stern', 'jet', 'brg', 'CMRmap', 'cubehelix',
-                             'gnuplot', 'gnuplot2', 'ocean', 'rainbow',
-                             'terrain', 'flag', 'prism'])]
+                             'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral',
+                             'seismic']),
+         ('Qualitative',    ['Accent', 'Dark2', 'Paired', 'Pastel1',
+                             'Pastel2', 'Set1', 'Set2', 'Set3']),
+         ('Miscellaneous',  ['gist_earth', 'terrain', 'ocean', 'gist_stern',
+                             'brg', 'CMRmap', 'cubehelix',
+                             'gnuplot', 'gnuplot2', 'gist_ncar',
+                             'nipy_spectral', 'jet', 'rainbow',
+                             'gist_rainbow', 'hsv', 'flag', 'prism'])]
 
 # indices to step through colormap
 x = np.linspace(0.0, 1.0, 100)
diff --git a/doc/users/plotting/colormaps/lightness.py b/doc/users/plotting/colormaps/lightness.py
index e34fb1642271..b3da52a564ec 100644
--- a/doc/users/plotting/colormaps/lightness.py
+++ b/doc/users/plotting/colormaps/lightness.py
@@ -1,5 +1,7 @@
 '''
-For each colormap, plot the lightness parameter L* from CIELAB colorspace along the y axis vs index through the colormap. Colormaps are examined in categories as in the original matplotlib gallery of colormaps.
+For each colormap, plot the lightness parameter L* from CIELAB colorspace 
+along the y axis vs index through the colormap. Colormaps are examined in 
+categories as in the original matplotlib gallery of colormaps.
 '''
 
 from skimage import color
@@ -21,21 +23,23 @@
 
 # Have colormaps separated into categories: http://matplotlib.org/examples/color/colormaps_reference.html
 
-cmaps = [('Sequential',     ['binary', 'Blues', 'BuGn', 'BuPu', 'gist_yarg',
+cmaps = [('Sequential',     ['Blues', 'BuGn', 'BuPu',
                              'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
                              'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
                              'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
-         ('Sequential2', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
-                             'gist_gray', 'gist_heat', 'gray', 'hot', 'pink',
+         ('Sequential (2)', ['afmhot', 'autumn', 'bone', 'cool', 'copper',
+                             'gist_heat', 'gray', 'hot', 'pink',
                              'spring', 'summer', 'winter']),
          ('Diverging',      ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
-                             'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'seismic']),
-         ('Qualitative',    ['Accent', 'Dark2', 'hsv', 'Paired', 'Pastel1',
-                             'Pastel2', 'Set1', 'Set2', 'Set3', 'spectral']),
-         ('Miscellaneous',  ['gist_earth', 'gist_ncar', 'gist_rainbow',
-                             'gist_stern', 'jet', 'brg', 'CMRmap', 'cubehelix',
-                             'gnuplot', 'gnuplot2', 'ocean', 'rainbow',
-                             'terrain', 'flag', 'prism'])]
+                             'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral',
+                             'seismic']),
+         ('Qualitative',    ['Accent', 'Dark2', 'Paired', 'Pastel1',
+                             'Pastel2', 'Set1', 'Set2', 'Set3']),
+         ('Miscellaneous',  ['gist_earth', 'terrain', 'ocean', 'gist_stern',
+                             'brg', 'CMRmap', 'cubehelix',
+                             'gnuplot', 'gnuplot2', 'gist_ncar',
+                             'nipy_spectral', 'jet', 'rainbow',
+                             'gist_rainbow', 'hsv', 'flag', 'prism'])]
 
 # indices to step through colormap
 x = np.linspace(0.0, 1.0, 100)
@@ -45,10 +49,10 @@
 
     # Do subplots so that colormaps have enough space. 5 per subplot?
     dsub = 5 # number of colormaps per subplot
-    if cmap_category == 'Diverging': # because has 13 colormaps
+    if cmap_category == 'Diverging': # because has 12 colormaps
+        dsub = 6
+    elif cmap_category == 'Sequential (2)':
         dsub = 6
-    elif cmap_category == 'Sequential2':
-        dsub = 7
     elif cmap_category == 'Sequential':
         dsub = 7
     nsubplots = int(np.ceil(len(cmap_list)/float(dsub)))
@@ -82,22 +86,16 @@
                     ax.axis([-0.1,4.7,0,100])
                 locs.append(x[-1]+j*dc) # store locations for colormap labels
 
-            elif cmap_category=='Sequential2':
+            elif cmap_category=='Sequential (2)':
                 dc = 1.15
                 ax.scatter(x+j*dc, lab[0,:,0], c=x, cmap=cmap, s=300, linewidths=0.)
-                if i==0:
-                    ax.axis([-0.1,8.1,0,100])
-                else:
-                    ax.axis([-0.1,7.0,0,100])
+                ax.axis([-0.1,7.0,0,100])
                 locs.append(x[-1]+j*dc) # store locations for colormap labels
 
             elif cmap_category=='Diverging':
                 dc = 1.2
                 ax.scatter(x+j*dc, lab[0,:,0], c=x, cmap=cmap, s=300, linewidths=0.)
-                if i==0:
-                    ax.axis([-0.1,7.1,0,100])
-                else:
-                    ax.axis([-0.1,6,0,100])
+                ax.axis([-0.1,7.1,0,100])
                 locs.append(x[int(x.size/2.)]+j*dc) # store locations for colormap labels
 
             elif cmap_category=='Qualitative':