diff --git a/examples/api/power_norm_demo.py b/examples/api/power_norm_demo.py
index dc0b9103bc6a..76ada2370df3 100755
--- a/examples/api/power_norm_demo.py
+++ b/examples/api/power_norm_demo.py
@@ -5,7 +5,7 @@
 import numpy as np
 from numpy.random import multivariate_normal
 
-data = np.vstack([multivariate_normal([10, 10], [[2, 2], [2, 2]], size=100000),
+data = np.vstack([multivariate_normal([10, 10], [[3, 2], [2, 3]], size=100000),
                   multivariate_normal([30, 20], [[2, 3], [1, 3]], size=1000)
                   ])
 
diff --git a/examples/pylab_examples/centered_ticklabels.py b/examples/pylab_examples/centered_ticklabels.py
index c8489906d1d3..e745acf965bc 100644
--- a/examples/pylab_examples/centered_ticklabels.py
+++ b/examples/pylab_examples/centered_ticklabels.py
@@ -45,6 +45,6 @@
     tick.tick2line.set_markersize(0)
     tick.label1.set_horizontalalignment('center')
 
-imid = len(r)/2
+imid = len(r)//2
 ax.set_xlabel(str(r.date[imid].year))
 plt.show()
diff --git a/examples/pylab_examples/data_helper.py b/examples/pylab_examples/data_helper.py
index 291a6dc44813..27a9cef06dda 100755
--- a/examples/pylab_examples/data_helper.py
+++ b/examples/pylab_examples/data_helper.py
@@ -17,10 +17,10 @@ def get_two_stock_data():
     file2 = cbook.get_sample_data('AAPL.dat.gz')
     M1 = fromstring(file1.read(), '<d')
 
-    M1 = resize(M1, (M1.shape[0]/2, 2))
+    M1 = resize(M1, (M1.shape[0]//2, 2))
 
     M2 = fromstring(file2.read(), '<d')
-    M2 = resize(M2, (M2.shape[0]/2, 2))
+    M2 = resize(M2, (M2.shape[0]//2, 2))
 
     d1, p1 = M1[:, 0], M1[:, 1]
     d2, p2 = M2[:, 0], M2[:, 1]
diff --git a/examples/pylab_examples/image_slices_viewer.py b/examples/pylab_examples/image_slices_viewer.py
index cf90e18e100e..24affd3deee4 100644
--- a/examples/pylab_examples/image_slices_viewer.py
+++ b/examples/pylab_examples/image_slices_viewer.py
@@ -1,6 +1,6 @@
 from __future__ import print_function
 import numpy
-from matplotlib.pyplot import figure, show
+import matplotlib.pyplot as plt
 
 
 class IndexTracker(object):
@@ -10,7 +10,7 @@ def __init__(self, ax, X):
 
         self.X = X
         rows, cols, self.slices = X.shape
-        self.ind = self.slices/2
+        self.ind = self.slices//2
 
         self.im = ax.imshow(self.X[:, :, self.ind])
         self.update()
@@ -21,7 +21,6 @@ def onscroll(self, event):
             self.ind = numpy.clip(self.ind + 1, 0, self.slices - 1)
         else:
             self.ind = numpy.clip(self.ind - 1, 0, self.slices - 1)
-
         self.update()
 
     def update(self):
@@ -30,8 +29,7 @@ def update(self):
         self.im.axes.figure.canvas.draw()
 
 
-fig = figure()
-ax = fig.add_subplot(111)
+fig, ax = plt.subplots(1, 1)
 
 X = numpy.random.rand(20, 20, 40)
 
@@ -39,4 +37,4 @@ def update(self):
 
 
 fig.canvas.mpl_connect('scroll_event', tracker.onscroll)
-show()
+plt.show()
diff --git a/examples/pylab_examples/quiver_demo.py b/examples/pylab_examples/quiver_demo.py
index 49205ccae282..72bb275808be 100644
--- a/examples/pylab_examples/quiver_demo.py
+++ b/examples/pylab_examples/quiver_demo.py
@@ -75,8 +75,13 @@
 # 6
 plt.figure()
 M = np.zeros(U.shape, dtype='bool')
-M[U.shape[0]/3:2*U.shape[0]/3,
-  U.shape[1]/3:2*U.shape[1]/3] = True
+XMaskStart = U.shape[0]//3
+YMaskStart = U.shape[1]//3
+XMaskStop = 2*U.shape[0]//3
+YMaskStop = 2*U.shape[1]//3
+
+M[XMaskStart:XMaskStop,
+  YMaskStart:YMaskStop] = True
 U = ma.masked_array(U, mask=M)
 V = ma.masked_array(V, mask=M)
 Q = plt.quiver(U, V)
diff --git a/lib/mpl_toolkits/axisartist/grid_finder.py b/lib/mpl_toolkits/axisartist/grid_finder.py
index 5f882d697ac2..db9157ac5204 100644
--- a/lib/mpl_toolkits/axisartist/grid_finder.py
+++ b/lib/mpl_toolkits/axisartist/grid_finder.py
@@ -255,14 +255,14 @@ def __init__(self,
 
 
 class MaxNLocator(mticker.MaxNLocator):
-    def __init__(self, nbins = 10, steps = None,
-                 trim = True,
+    def __init__(self, nbins=10, steps=None,
+                 trim=True,
                  integer=False,
                  symmetric=False,
                  prune=None):
-
+        # trim argument has no effect. It has been left for API compatibility
         mticker.MaxNLocator.__init__(self, nbins, steps=steps,
-                                     trim=trim, integer=integer,
+                                     integer=integer,
                                      symmetric=symmetric, prune=prune)
         self.create_dummy_axis()
         self._factor = None