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+# -*- coding: utf-8 -*-
+#
+# Credits: http://www.aosabook.org/en/matplotlib.html
+#
+# Aaron LI
+# 2016-03-14
+#
+
+# Import the FigureCanvas from the backend of your choice
+#  and attach the Figure artist to it.
+from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+from matplotlib.figure import Figure
+fig = Figure()
+canvas = FigureCanvas(fig)
+
+# Import the numpy library to generate the random numbers.
+import numpy as np
+x = np.random.randn(10000)
+
+# Now use a figure method to create an Axes artist; the Axes artist is
+#  added automatically to the figure container fig.axes.
+# Here "111" is from the MATLAB convention: create a grid with 1 row and 1
+#  column, and use the first cell in that grid for the location of the new
+#  Axes.
+ax = fig.add_subplot(111)
+
+# Call the Axes method hist to generate the histogram; hist creates a
+#  sequence of Rectangle artists for each histogram bar and adds them
+#  to the Axes container.  Here "100" means create 100 bins.
+ax.hist(x, 100)
+
+# Decorate the figure with a title and save it.
+ax.set_title('Normal distribution with $\mu=0, \sigma=1$')
+fig.savefig('matplotlib_histogram.png')
+