matplotlib · tacaswell · Apr 1, 2016 · Mar 29, 2016 · Mar 29, 2016 · Mar 29, 2016
diff --git 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
@@ -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
@@ -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
@@ -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):
@@ -30,13 +29,12 @@ 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)

 tracker = IndexTracker(ax, X)


 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
@@ -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
@@ -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