Simplify example.

tonysyu · tonysyu · commit f7b2217a1f92 · 2013-09-29T11:42:28.000-05:00
Remove plot of exact PDF since this is already demoed in another example.
diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
@@ -7,26 +7,20 @@
 """
 import numpy as np
 import matplotlib.pyplot as plt
-from matplotlib import mlab
 
 
 mu = 200
 sigma = 25
-n_bins = 50
 x = mu + sigma*np.random.randn(10000)
 
 fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(8, 4))
 
-n, bins, patches = ax0.hist(x, n_bins, normed=1, histtype='stepfilled',
-                            facecolor='g', alpha=0.75)
-# Add a line showing the expected distribution.
-y = mlab.normpdf(bins, mu, sigma)
-ax0.plot(bins, y, 'k--', linewidth=1.5)
+ax0.hist(x, 20, normed=1, histtype='stepfilled', facecolor='g', alpha=0.75)
 ax0.set_title('stepfilled')
 
 # Create a histogram by providing the bin edges (unequally spaced).
 bins = [100, 150, 180, 195, 205, 220, 250, 300]
-n, bins, patches = ax1.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
+ax1.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
 ax1.set_title('unequal bins')
 
 plt.tight_layout()
