matplotlib
diff --git a/‎examples/pylab_examples/histogram_demo.py
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diff --git a/‎examples/statistics/histogram_demo_features.py
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+"""
+Demo of the histogram (hist) function with a few features.
+
+In addition to the basic histogram, this demo shows a few optional features:
+
+    * Setting the number of data bins
+    * The ``normed`` flag, which normalizes bin heights so that the integral of
+      the histogram is 1. The resulting histogram is a probability density.
+    * Setting the face color of the bars
+    * Setting the opacity (alpha value).
+
+"""
+import numpy as np
+import matplotlib.mlab as mlab
+import matplotlib.pyplot as plt
+
+
+# example data
+mu = 100 # mean of distribution
+sigma = 15 # standard deviation of distribution
+x = mu + sigma * np.random.randn(10000)
+
+num_bins = 50
+# the histogram of the data
+n, bins, patches = plt.hist(x, num_bins, normed=1, facecolor='green', alpha=0.5)
+# add a 'best fit' line
+y = mlab.normpdf(bins, mu, sigma)
+plt.plot(bins, y, 'r--')
+
+plt.show()