Split up hist examples into two sections.

tonysyu · tonysyu · commit 509967518ce5 · 2013-09-29T07:14:58.000-05:00
The original example was trying to do too much in one place.
diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
@@ -1,3 +1,4 @@
+
 import numpy as np
 import matplotlib.pyplot as plt
 from matplotlib.mlab import normpdf
@@ -48,38 +49,4 @@
 plt.grid(True)
 plt.ylim(0, 1.05)
 
-
-plt.figure()
-
-x = mu + sigma*np.random.randn(1000,3)
-
-n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar',
-                            color=['crimson', 'burlywood', 'chartreuse'],
-                            label=['Crimson', 'Burlywood', 'Chartreuse'])
-plt.legend()
-
-
-plt.figure()
-n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar', stacked=True)
-
-plt.figure()
-n, bins, patches = plt.hist(x, 10, histtype='step', stacked=True, fill=True)
-
-# Make a multiple-histogram of data-sets with different length.
-x0 = mu + sigma*np.random.randn(10000)
-x1 = mu + sigma*np.random.randn(7000)
-x2 = mu + sigma*np.random.randn(3000)
-
-w0 = np.ones_like(x0)
-w0[:len(x0)/2] = 0.5
-w1 = np.ones_like(x1)
-w1[:len(x1)/2] = 0.5
-w2 = np.ones_like(x2)
-w2[:len(x2)/2] = 0.5
-
-
-plt.figure()
-
-n, bins, patches = plt.hist( [x0,x1,x2], 10, weights=[w0, w1, w2], histtype='bar')
-
 plt.show()
diff --git a/examples/pylab_examples/histogram_demo_multihist.py b/examples/pylab_examples/histogram_demo_multihist.py
@@ -0,0 +1,39 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+mu, sigma = 200, 25
+plt.figure()
+
+x = mu + sigma*np.random.randn(1000,3)
+
+n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar',
+                            color=['crimson', 'burlywood', 'chartreuse'],
+                            label=['Crimson', 'Burlywood', 'Chartreuse'])
+plt.legend()
+
+
+plt.figure()
+n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar', stacked=True)
+
+plt.figure()
+n, bins, patches = plt.hist(x, 10, histtype='step', stacked=True, fill=True)
+
+# Make a multiple-histogram of data-sets with different length.
+x0 = mu + sigma*np.random.randn(10000)
+x1 = mu + sigma*np.random.randn(7000)
+x2 = mu + sigma*np.random.randn(3000)
+
+w0 = np.ones_like(x0)
+w0[:len(x0)/2] = 0.5
+w1 = np.ones_like(x1)
+w1[:len(x1)/2] = 0.5
+w2 = np.ones_like(x2)
+w2[:len(x2)/2] = 0.5
+
+
+plt.figure()
+
+n, bins, patches = plt.hist( [x0,x1,x2], 10, weights=[w0, w1, w2], histtype='bar')
+
+plt.show()
