From 8bec4122d0f6357c0b829aa8febd4f374f674699 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sat, 28 Sep 2013 23:23:29 -0500
Subject: [PATCH 01/21] Remove she-bang line.

---
 examples/pylab_examples/histogram_demo_extended.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/examples/pylab_examples/histogram_demo_extended.py b/examples/pylab_examples/histogram_demo_extended.py
index bd262007edde..1736cbca3e94 100644
--- a/examples/pylab_examples/histogram_demo_extended.py
+++ b/examples/pylab_examples/histogram_demo_extended.py
@@ -1,4 +1,3 @@
-#!/usr/bin/env python
 import numpy as np
 import pylab as P
 

From c25ef1e02b3a0ecb279492409dac0de9b3d2c0e2 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sat, 28 Sep 2013 23:28:13 -0500
Subject: [PATCH 02/21] Use consistent imports

---
 .../pylab_examples/histogram_demo_extended.py | 71 ++++++++++---------
 1 file changed, 36 insertions(+), 35 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_extended.py b/examples/pylab_examples/histogram_demo_extended.py
index 1736cbca3e94..0cf44d4ec853 100644
--- a/examples/pylab_examples/histogram_demo_extended.py
+++ b/examples/pylab_examples/histogram_demo_extended.py
@@ -1,5 +1,6 @@
 import numpy as np
-import pylab as P
+import matplotlib.pyplot as plt
+from matplotlib.mlab import normpdf
 
 #
 # The hist() function now has a lot more options
@@ -9,56 +10,56 @@
 # first create a single histogram
 #
 mu, sigma = 200, 25
-x = mu + sigma*P.randn(10000)
+x = mu + sigma*np.random.randn(10000)
 
 # the histogram of the data with histtype='step'
-n, bins, patches = P.hist(x, 50, normed=1, histtype='stepfilled')
-P.setp(patches, 'facecolor', 'g', 'alpha', 0.75)
+n, bins, patches = plt.hist(x, 50, normed=1, histtype='stepfilled')
+plt.setp(patches, 'facecolor', 'g', 'alpha', 0.75)
 
 # add a line showing the expected distribution
-y = P.normpdf( bins, mu, sigma)
-l = P.plot(bins, y, 'k--', linewidth=1.5)
+y = normpdf( bins, mu, sigma)
+l = plt.plot(bins, y, 'k--', linewidth=1.5)
 
 
 #
 # create a histogram by providing the bin edges (unequally spaced)
 #
-P.figure()
+plt.figure()
 
 bins = [100,125,150,160,170,180,190,200,210,220,230,240,250,275,300]
 # the histogram of the data with histtype='step'
-n, bins, patches = P.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
+n, bins, patches = plt.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
 
 #
 # now we create a cumulative histogram of the data
 #
-P.figure()
+plt.figure()
 
-n, bins, patches = P.hist(x, 50, normed=1, histtype='step', cumulative=True)
+n, bins, patches = plt.hist(x, 50, normed=1, histtype='step', cumulative=True)
 
 # add a line showing the expected distribution
-y = P.normpdf( bins, mu, sigma).cumsum()
+y = normpdf( bins, mu, sigma).cumsum()
 y /= y[-1]
-l = P.plot(bins, y, 'k--', linewidth=1.5)
+l = plt.plot(bins, y, 'k--', linewidth=1.5)
 
 # create a second data-set with a smaller standard deviation
 sigma2 = 15.
-x = mu + sigma2*P.randn(10000)
+x = mu + sigma2*np.random.randn(10000)
 
-n, bins, patches = P.hist(x, bins=bins, normed=1, histtype='step', cumulative=True)
+n, bins, patches = plt.hist(x, bins=bins, normed=1, histtype='step', cumulative=True)
 
 # add a line showing the expected distribution
-y = P.normpdf( bins, mu, sigma2).cumsum()
+y = normpdf( bins, mu, sigma2).cumsum()
 y /= y[-1]
-l = P.plot(bins, y, 'r--', linewidth=1.5)
+l = plt.plot(bins, y, 'r--', linewidth=1.5)
 
 # finally overplot a reverted cumulative histogram
-n, bins, patches = P.hist(x, bins=bins, normed=1,
+n, bins, patches = plt.hist(x, bins=bins, normed=1,
     histtype='step', cumulative=-1)
 
 
-P.grid(True)
-P.ylim(0, 1.05)
+plt.grid(True)
+plt.ylim(0, 1.05)
 
 
 #
@@ -66,41 +67,41 @@
 # Note the new color kwarg, used to override the default, which
 # uses the line color cycle.
 #
-P.figure()
+plt.figure()
 
 # create a new data-set
-x = mu + sigma*P.randn(1000,3)
+x = mu + sigma*np.random.randn(1000,3)
 
-n, bins, patches = P.hist(x, 10, normed=1, histtype='bar',
+n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar',
                             color=['crimson', 'burlywood', 'chartreuse'],
                             label=['Crimson', 'Burlywood', 'Chartreuse'])
-P.legend()
+plt.legend()
 
 #
 # ... or we can stack the data
 #
-P.figure()
+plt.figure()
 
-n, bins, patches = P.hist(x, 10, normed=1, histtype='bar', stacked=True)
+n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar', stacked=True)
 
-P.show()
+plt.show()
 
 #
 # we can also stack using the step histtype
 #
 
-P.figure()
+plt.figure()
 
-n, bins, patches = P.hist(x, 10, histtype='step', stacked=True, fill=True)
+n, bins, patches = plt.hist(x, 10, histtype='step', stacked=True, fill=True)
 
-P.show()
+plt.show()
 
 #
 # finally: make a multiple-histogram of data-sets with different length
 #
-x0 = mu + sigma*P.randn(10000)
-x1 = mu + sigma*P.randn(7000)
-x2 = mu + sigma*P.randn(3000)
+x0 = mu + sigma*np.random.randn(10000)
+x1 = mu + sigma*np.random.randn(7000)
+x2 = mu + sigma*np.random.randn(3000)
 
 # and exercise the weights option by arbitrarily giving the first half
 # of each series only half the weight of the others:
@@ -114,8 +115,8 @@
 
 
 
-P.figure()
+plt.figure()
 
-n, bins, patches = P.hist( [x0,x1,x2], 10, weights=[w0, w1, w2], histtype='bar')
+n, bins, patches = plt.hist( [x0,x1,x2], 10, weights=[w0, w1, w2], histtype='bar')
 
-P.show()
+plt.show()

From 7a59f9f2f745132e15f818e67962f3e3753227ce Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sat, 28 Sep 2013 23:36:51 -0500
Subject: [PATCH 03/21] Remove unnecessary code comments.

---
 .../pylab_examples/histogram_demo_extended.py | 47 ++++---------------
 1 file changed, 8 insertions(+), 39 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_extended.py b/examples/pylab_examples/histogram_demo_extended.py
index 0cf44d4ec853..24b8cd9cb322 100644
--- a/examples/pylab_examples/histogram_demo_extended.py
+++ b/examples/pylab_examples/histogram_demo_extended.py
@@ -2,58 +2,45 @@
 import matplotlib.pyplot as plt
 from matplotlib.mlab import normpdf
 
-#
-# The hist() function now has a lot more options
-#
 
-#
-# first create a single histogram
-#
 mu, sigma = 200, 25
 x = mu + sigma*np.random.randn(10000)
 
-# the histogram of the data with histtype='step'
 n, bins, patches = plt.hist(x, 50, normed=1, histtype='stepfilled')
 plt.setp(patches, 'facecolor', 'g', 'alpha', 0.75)
 
-# add a line showing the expected distribution
+# Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma)
 l = plt.plot(bins, y, 'k--', linewidth=1.5)
 
 
-#
-# create a histogram by providing the bin edges (unequally spaced)
-#
 plt.figure()
 
+# Create a histogram by providing the bin edges (unequally spaced).
 bins = [100,125,150,160,170,180,190,200,210,220,230,240,250,275,300]
-# the histogram of the data with histtype='step'
 n, bins, patches = plt.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
 
-#
-# now we create a cumulative histogram of the data
-#
 plt.figure()
 
 n, bins, patches = plt.hist(x, 50, normed=1, histtype='step', cumulative=True)
 
-# add a line showing the expected distribution
+# Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma).cumsum()
 y /= y[-1]
 l = plt.plot(bins, y, 'k--', linewidth=1.5)
 
-# create a second data-set with a smaller standard deviation
+# Create a second data-set with a smaller standard deviation.
 sigma2 = 15.
 x = mu + sigma2*np.random.randn(10000)
 
 n, bins, patches = plt.hist(x, bins=bins, normed=1, histtype='step', cumulative=True)
 
-# add a line showing the expected distribution
+# Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma2).cumsum()
 y /= y[-1]
 l = plt.plot(bins, y, 'r--', linewidth=1.5)
 
-# finally overplot a reverted cumulative histogram
+# Overlay a reverted cumulative histogram.
 n, bins, patches = plt.hist(x, bins=bins, normed=1,
     histtype='step', cumulative=-1)
 
@@ -62,14 +49,8 @@
 plt.ylim(0, 1.05)
 
 
-#
-# histogram has the ability to plot multiple data in parallel ...
-# Note the new color kwarg, used to override the default, which
-# uses the line color cycle.
-#
 plt.figure()
 
-# create a new data-set
 x = mu + sigma*np.random.randn(1000,3)
 
 n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar',
@@ -77,35 +58,24 @@
                             label=['Crimson', 'Burlywood', 'Chartreuse'])
 plt.legend()
 
-#
-# ... or we can stack the data
-#
+
 plt.figure()
 
 n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar', stacked=True)
 
 plt.show()
 
-#
-# we can also stack using the step histtype
-#
-
 plt.figure()
 
 n, bins, patches = plt.hist(x, 10, histtype='step', stacked=True, fill=True)
 
 plt.show()
 
-#
-# finally: make a multiple-histogram of data-sets with different length
-#
+# 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)
 
-# and exercise the weights option by arbitrarily giving the first half
-# of each series only half the weight of the others:
-
 w0 = np.ones_like(x0)
 w0[:len(x0)/2] = 0.5
 w1 = np.ones_like(x1)
@@ -114,7 +84,6 @@
 w2[:len(x2)/2] = 0.5
 
 
-
 plt.figure()
 
 n, bins, patches = plt.hist( [x0,x1,x2], 10, weights=[w0, w1, w2], histtype='bar')

From 83dd0ea33d15e8011fb3506fd328771707171adb Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sat, 28 Sep 2013 23:37:34 -0500
Subject: [PATCH 04/21] Remove unnecessary calls to `show`

---
 examples/pylab_examples/histogram_demo_extended.py | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_extended.py b/examples/pylab_examples/histogram_demo_extended.py
index 24b8cd9cb322..851c7938e7e5 100644
--- a/examples/pylab_examples/histogram_demo_extended.py
+++ b/examples/pylab_examples/histogram_demo_extended.py
@@ -60,17 +60,11 @@
 
 
 plt.figure()
-
 n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar', stacked=True)
 
-plt.show()
-
 plt.figure()
-
 n, bins, patches = plt.hist(x, 10, histtype='step', stacked=True, fill=True)
 
-plt.show()
-
 # Make a multiple-histogram of data-sets with different length.
 x0 = mu + sigma*np.random.randn(10000)
 x1 = mu + sigma*np.random.randn(7000)

From ece3c57d14652710f22615a5f26a85873969d710 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sat, 28 Sep 2013 23:38:33 -0500
Subject: [PATCH 05/21] Rmove unused variable

---
 examples/pylab_examples/histogram_demo_extended.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_extended.py b/examples/pylab_examples/histogram_demo_extended.py
index 851c7938e7e5..cfc3f29294af 100644
--- a/examples/pylab_examples/histogram_demo_extended.py
+++ b/examples/pylab_examples/histogram_demo_extended.py
@@ -11,7 +11,7 @@
 
 # Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma)
-l = plt.plot(bins, y, 'k--', linewidth=1.5)
+plt.plot(bins, y, 'k--', linewidth=1.5)
 
 
 plt.figure()
@@ -27,7 +27,7 @@
 # Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma).cumsum()
 y /= y[-1]
-l = plt.plot(bins, y, 'k--', linewidth=1.5)
+plt.plot(bins, y, 'k--', linewidth=1.5)
 
 # Create a second data-set with a smaller standard deviation.
 sigma2 = 15.
@@ -38,7 +38,7 @@
 # Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma2).cumsum()
 y /= y[-1]
-l = plt.plot(bins, y, 'r--', linewidth=1.5)
+plt.plot(bins, y, 'r--', linewidth=1.5)
 
 # Overlay a reverted cumulative histogram.
 n, bins, patches = plt.hist(x, bins=bins, normed=1,

From 509967518ce5ce5ba31edf12486ffaa344e748f2 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 07:14:58 -0500
Subject: [PATCH 06/21] Split up hist examples into two sections.

The original example was trying to do too much in one place.
---
 ...xtended.py => histogram_demo_histtypes.py} | 35 +----------------
 .../histogram_demo_multihist.py               | 39 +++++++++++++++++++
 2 files changed, 40 insertions(+), 34 deletions(-)
 rename examples/pylab_examples/{histogram_demo_extended.py => histogram_demo_histtypes.py} (61%)
 create mode 100644 examples/pylab_examples/histogram_demo_multihist.py

diff --git a/examples/pylab_examples/histogram_demo_extended.py b/examples/pylab_examples/histogram_demo_histtypes.py
similarity index 61%
rename from examples/pylab_examples/histogram_demo_extended.py
rename to examples/pylab_examples/histogram_demo_histtypes.py
index cfc3f29294af..54b453622adc 100644
--- a/examples/pylab_examples/histogram_demo_extended.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
new file mode 100644
index 000000000000..2b9cbc047bcd
--- /dev/null
+++ 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()

From 768500d4139d672f5497866000849242c890d38f Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 07:18:28 -0500
Subject: [PATCH 07/21] Remove use of `setp` in favor of keyword args.

---
 examples/pylab_examples/histogram_demo_histtypes.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
index 54b453622adc..f65b88cf07fd 100644
--- a/examples/pylab_examples/histogram_demo_histtypes.py
+++ b/examples/pylab_examples/histogram_demo_histtypes.py
@@ -7,8 +7,8 @@
 mu, sigma = 200, 25
 x = mu + sigma*np.random.randn(10000)
 
-n, bins, patches = plt.hist(x, 50, normed=1, histtype='stepfilled')
-plt.setp(patches, 'facecolor', 'g', 'alpha', 0.75)
+n, bins, patches = plt.hist(x, 50, normed=1, histtype='stepfilled',
+                            facecolor='g', alpha=0.75)
 
 # Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma)

From 44a577b553102444ffe8f92306a90eefb7134c9a Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 07:35:39 -0500
Subject: [PATCH 08/21] Replace multiple figures with subplots

---
 .../histogram_demo_histtypes.py               | 28 +++++++++----------
 .../histogram_demo_multihist.py               | 21 ++++++--------
 2 files changed, 22 insertions(+), 27 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
index f65b88cf07fd..1eb24ff3fba6 100644
--- a/examples/pylab_examples/histogram_demo_histtypes.py
+++ b/examples/pylab_examples/histogram_demo_histtypes.py
@@ -7,46 +7,44 @@
 mu, sigma = 200, 25
 x = mu + sigma*np.random.randn(10000)
 
-n, bins, patches = plt.hist(x, 50, normed=1, histtype='stepfilled',
+fig, (ax0, ax1, ax2) = plt.subplots(ncols=3, figsize=(8, 3))
+
+n, bins, patches = ax0.hist(x, 50, normed=1, histtype='stepfilled',
                             facecolor='g', alpha=0.75)
 
 # Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma)
-plt.plot(bins, y, 'k--', linewidth=1.5)
-
-
-plt.figure()
+ax0.plot(bins, y, 'k--', linewidth=1.5)
 
 # Create a histogram by providing the bin edges (unequally spaced).
 bins = [100,125,150,160,170,180,190,200,210,220,230,240,250,275,300]
-n, bins, patches = plt.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
-
-plt.figure()
+n, bins, patches = ax1.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
 
-n, bins, patches = plt.hist(x, 50, normed=1, histtype='step', cumulative=True)
+n, bins, patches = ax2.hist(x, 50, normed=1, histtype='step', cumulative=True)
 
 # Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma).cumsum()
 y /= y[-1]
-plt.plot(bins, y, 'k--', linewidth=1.5)
+ax2.plot(bins, y, 'k--', linewidth=1.5)
 
 # Create a second data-set with a smaller standard deviation.
 sigma2 = 15.
 x = mu + sigma2*np.random.randn(10000)
 
-n, bins, patches = plt.hist(x, bins=bins, normed=1, histtype='step', cumulative=True)
+n, bins, patches = ax2.hist(x, bins=bins, normed=1, histtype='step', cumulative=True)
 
 # Add a line showing the expected distribution.
 y = normpdf( bins, mu, sigma2).cumsum()
 y /= y[-1]
-plt.plot(bins, y, 'r--', linewidth=1.5)
+ax2.plot(bins, y, 'r--', linewidth=1.5)
 
 # Overlay a reverted cumulative histogram.
-n, bins, patches = plt.hist(x, bins=bins, normed=1,
+n, bins, patches = ax2.hist(x, bins=bins, normed=1,
     histtype='step', cumulative=-1)
 
 
-plt.grid(True)
-plt.ylim(0, 1.05)
+ax2.grid(True)
+ax2.set_ylim(0, 1.05)
 
+plt.tight_layout()
 plt.show()
diff --git a/examples/pylab_examples/histogram_demo_multihist.py b/examples/pylab_examples/histogram_demo_multihist.py
index 2b9cbc047bcd..869f8027b435 100644
--- a/examples/pylab_examples/histogram_demo_multihist.py
+++ b/examples/pylab_examples/histogram_demo_multihist.py
@@ -2,22 +2,21 @@
 import matplotlib.pyplot as plt
 
 
-mu, sigma = 200, 25
-plt.figure()
+fig, axes = plt.subplots(nrows=2, ncols=2)
+ax0, ax1, ax2, ax3 = axes.flat
 
+mu, sigma = 200, 25
 x = mu + sigma*np.random.randn(1000,3)
 
-n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar',
+n, bins, patches = ax0.hist(x, 10, normed=1, histtype='bar',
                             color=['crimson', 'burlywood', 'chartreuse'],
                             label=['Crimson', 'Burlywood', 'Chartreuse'])
-plt.legend()
+ax0.legend(prop={'size': 10})
 
 
-plt.figure()
-n, bins, patches = plt.hist(x, 10, normed=1, histtype='bar', stacked=True)
+n, bins, patches = ax1.hist(x, 10, normed=1, histtype='bar', stacked=True)
 
-plt.figure()
-n, bins, patches = plt.hist(x, 10, histtype='step', stacked=True, fill=True)
+n, bins, patches = ax2.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)
@@ -31,9 +30,7 @@
 w2 = np.ones_like(x2)
 w2[:len(x2)/2] = 0.5
 
+n, bins, patches = ax3.hist( [x0,x1,x2], 10, weights=[w0, w1, w2], histtype='bar')
 
-plt.figure()
-
-n, bins, patches = plt.hist( [x0,x1,x2], 10, weights=[w0, w1, w2], histtype='bar')
-
+plt.tight_layout()
 plt.show()

From c80897d5232598a1aa72fe1174111b2802a31eb3 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 07:40:03 -0500
Subject: [PATCH 09/21] Change bin edges to make the example clearer.

---
 examples/pylab_examples/histogram_demo_histtypes.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
index 1eb24ff3fba6..54b996251756 100644
--- a/examples/pylab_examples/histogram_demo_histtypes.py
+++ b/examples/pylab_examples/histogram_demo_histtypes.py
@@ -17,7 +17,7 @@
 ax0.plot(bins, y, 'k--', linewidth=1.5)
 
 # Create a histogram by providing the bin edges (unequally spaced).
-bins = [100,125,150,160,170,180,190,200,210,220,230,240,250,275,300]
+bins = [100,150,180,195,205,220,250,300]
 n, bins, patches = ax1.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
 
 n, bins, patches = ax2.hist(x, 50, normed=1, histtype='step', cumulative=True)

From bd2b13c54bf4aa2058781b9a805d68f2feab5ba5 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 07:48:31 -0500
Subject: [PATCH 10/21] Add titles to clarify intent

---
 examples/pylab_examples/histogram_demo_histtypes.py | 5 ++++-
 examples/pylab_examples/histogram_demo_multihist.py | 4 ++++
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
index 54b996251756..8d7f472be029 100644
--- a/examples/pylab_examples/histogram_demo_histtypes.py
+++ b/examples/pylab_examples/histogram_demo_histtypes.py
@@ -16,9 +16,12 @@
 y = normpdf( bins, mu, sigma)
 ax0.plot(bins, y, 'k--', linewidth=1.5)
 
+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.set_title('unequal bins')
 
 n, bins, patches = ax2.hist(x, 50, normed=1, histtype='step', cumulative=True)
 
@@ -42,9 +45,9 @@
 n, bins, patches = ax2.hist(x, bins=bins, normed=1,
     histtype='step', cumulative=-1)
 
-
 ax2.grid(True)
 ax2.set_ylim(0, 1.05)
+ax2.set_title('cumulative step')
 
 plt.tight_layout()
 plt.show()
diff --git a/examples/pylab_examples/histogram_demo_multihist.py b/examples/pylab_examples/histogram_demo_multihist.py
index 869f8027b435..492b2a8b2809 100644
--- a/examples/pylab_examples/histogram_demo_multihist.py
+++ b/examples/pylab_examples/histogram_demo_multihist.py
@@ -12,11 +12,14 @@
                             color=['crimson', 'burlywood', 'chartreuse'],
                             label=['Crimson', 'Burlywood', 'Chartreuse'])
 ax0.legend(prop={'size': 10})
+ax0.set_title('bar')
 
 
 n, bins, patches = ax1.hist(x, 10, normed=1, histtype='bar', stacked=True)
+ax1.set_title('stacked bar')
 
 n, bins, patches = ax2.hist(x, 10, histtype='step', stacked=True, fill=True)
+ax2.set_title('stepfilled')
 
 # Make a multiple-histogram of data-sets with different length.
 x0 = mu + sigma*np.random.randn(10000)
@@ -31,6 +34,7 @@
 w2[:len(x2)/2] = 0.5
 
 n, bins, patches = ax3.hist( [x0,x1,x2], 10, weights=[w0, w1, w2], histtype='bar')
+ax3.set_title('different sample sizes')
 
 plt.tight_layout()
 plt.show()

From 24aab9706300e471292512fe071fd52542a550f7 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 07:59:01 -0500
Subject: [PATCH 11/21] Simplify example

---
 .../histogram_demo_multihist.py               | 19 +++++--------------
 1 file changed, 5 insertions(+), 14 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_multihist.py b/examples/pylab_examples/histogram_demo_multihist.py
index 492b2a8b2809..60cfca9bff4c 100644
--- a/examples/pylab_examples/histogram_demo_multihist.py
+++ b/examples/pylab_examples/histogram_demo_multihist.py
@@ -8,9 +8,9 @@
 mu, sigma = 200, 25
 x = mu + sigma*np.random.randn(1000,3)
 
+colors = ['crimson', 'burlywood', 'chartreuse']
 n, bins, patches = ax0.hist(x, 10, normed=1, histtype='bar',
-                            color=['crimson', 'burlywood', 'chartreuse'],
-                            label=['Crimson', 'Burlywood', 'Chartreuse'])
+                            color=colors, label=colors)
 ax0.legend(prop={'size': 10})
 ax0.set_title('bar')
 
@@ -22,18 +22,9 @@
 ax2.set_title('stepfilled')
 
 # 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
-
-n, bins, patches = ax3.hist( [x0,x1,x2], 10, weights=[w0, w1, w2], histtype='bar')
+x_multi = [mu + sigma*np.random.randn(n) for n in [10000, 5000, 2000]]
+
+n, bins, patches = ax3.hist(x_multi, 10, histtype='bar')
 ax3.set_title('different sample sizes')
 
 plt.tight_layout()

From fc2ab07cc586abba4c024d8c0d841c4357a3936f Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 08:04:17 -0500
Subject: [PATCH 12/21] Split demo that tried to do too much

---
 .../histogram_demo_cumulative.py              | 33 +++++++++++++++++++
 .../histogram_demo_histtypes.py               | 33 ++-----------------
 2 files changed, 36 insertions(+), 30 deletions(-)
 create mode 100644 examples/pylab_examples/histogram_demo_cumulative.py

diff --git a/examples/pylab_examples/histogram_demo_cumulative.py b/examples/pylab_examples/histogram_demo_cumulative.py
new file mode 100644
index 000000000000..e2d2ef7a9768
--- /dev/null
+++ b/examples/pylab_examples/histogram_demo_cumulative.py
@@ -0,0 +1,33 @@
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import mlab
+
+mu, sigma = 200, 25
+x = mu + sigma*np.random.randn(10000)
+n, bins, patches = plt.hist(x, 50, normed=1, histtype='step', cumulative=True)
+
+# Add a line showing the expected distribution.
+y = mlab.normpdf( bins, mu, sigma).cumsum()
+y /= y[-1]
+plt.plot(bins, y, 'k--', linewidth=1.5)
+
+# Create a second data-set with a smaller standard deviation.
+sigma2 = 15.
+x = mu + sigma2*np.random.randn(10000)
+
+n, bins, patches = plt.hist(x, bins=bins, normed=1, histtype='step', cumulative=True)
+
+# Add a line showing the expected distribution.
+y = mlab.normpdf( bins, mu, sigma2).cumsum()
+y /= y[-1]
+plt.plot(bins, y, 'r--', linewidth=1.5)
+
+# Overlay a reverted cumulative histogram.
+n, bins, patches = plt.hist(x, bins=bins, normed=1,
+    histtype='step', cumulative=-1)
+
+plt.grid(True)
+plt.ylim(0, 1.05)
+plt.title('cumulative step')
+
+plt.show()
diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
index 8d7f472be029..170c1325eb3e 100644
--- a/examples/pylab_examples/histogram_demo_histtypes.py
+++ b/examples/pylab_examples/histogram_demo_histtypes.py
@@ -1,19 +1,18 @@
-
 import numpy as np
 import matplotlib.pyplot as plt
-from matplotlib.mlab import normpdf
+from matplotlib import mlab
 
 
 mu, sigma = 200, 25
 x = mu + sigma*np.random.randn(10000)
 
-fig, (ax0, ax1, ax2) = plt.subplots(ncols=3, figsize=(8, 3))
+fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(8, 4))
 
 n, bins, patches = ax0.hist(x, 50, normed=1, histtype='stepfilled',
                             facecolor='g', alpha=0.75)
 
 # Add a line showing the expected distribution.
-y = normpdf( bins, mu, sigma)
+y = mlab.normpdf( bins, mu, sigma)
 ax0.plot(bins, y, 'k--', linewidth=1.5)
 
 ax0.set_title('stepfilled')
@@ -23,31 +22,5 @@
 n, bins, patches = ax1.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
 ax1.set_title('unequal bins')
 
-n, bins, patches = ax2.hist(x, 50, normed=1, histtype='step', cumulative=True)
-
-# Add a line showing the expected distribution.
-y = normpdf( bins, mu, sigma).cumsum()
-y /= y[-1]
-ax2.plot(bins, y, 'k--', linewidth=1.5)
-
-# Create a second data-set with a smaller standard deviation.
-sigma2 = 15.
-x = mu + sigma2*np.random.randn(10000)
-
-n, bins, patches = ax2.hist(x, bins=bins, normed=1, histtype='step', cumulative=True)
-
-# Add a line showing the expected distribution.
-y = normpdf( bins, mu, sigma2).cumsum()
-y /= y[-1]
-ax2.plot(bins, y, 'r--', linewidth=1.5)
-
-# Overlay a reverted cumulative histogram.
-n, bins, patches = ax2.hist(x, bins=bins, normed=1,
-    histtype='step', cumulative=-1)
-
-ax2.grid(True)
-ax2.set_ylim(0, 1.05)
-ax2.set_title('cumulative step')
-
 plt.tight_layout()
 plt.show()

From e57b5fc31fbad83ed9c43c77ef15368efdcb9ec1 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 08:06:44 -0500
Subject: [PATCH 13/21] Remove unnecessary second histogram

---
 examples/pylab_examples/histogram_demo_cumulative.py | 11 -----------
 1 file changed, 11 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_cumulative.py b/examples/pylab_examples/histogram_demo_cumulative.py
index e2d2ef7a9768..f976664af63f 100644
--- a/examples/pylab_examples/histogram_demo_cumulative.py
+++ b/examples/pylab_examples/histogram_demo_cumulative.py
@@ -11,17 +11,6 @@
 y /= y[-1]
 plt.plot(bins, y, 'k--', linewidth=1.5)
 
-# Create a second data-set with a smaller standard deviation.
-sigma2 = 15.
-x = mu + sigma2*np.random.randn(10000)
-
-n, bins, patches = plt.hist(x, bins=bins, normed=1, histtype='step', cumulative=True)
-
-# Add a line showing the expected distribution.
-y = mlab.normpdf( bins, mu, sigma2).cumsum()
-y /= y[-1]
-plt.plot(bins, y, 'r--', linewidth=1.5)
-
 # Overlay a reverted cumulative histogram.
 n, bins, patches = plt.hist(x, bins=bins, normed=1,
     histtype='step', cumulative=-1)

From 1458aa87c5eae9dd99e141956a6adf7a0f3c6707 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 08:10:08 -0500
Subject: [PATCH 14/21] Remove unnecessary parameters

---
 examples/pylab_examples/histogram_demo_multihist.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_multihist.py b/examples/pylab_examples/histogram_demo_multihist.py
index 60cfca9bff4c..fa8c5fe3fdf4 100644
--- a/examples/pylab_examples/histogram_demo_multihist.py
+++ b/examples/pylab_examples/histogram_demo_multihist.py
@@ -5,8 +5,7 @@
 fig, axes = plt.subplots(nrows=2, ncols=2)
 ax0, ax1, ax2, ax3 = axes.flat
 
-mu, sigma = 200, 25
-x = mu + sigma*np.random.randn(1000,3)
+x = np.random.randn(1000,3)
 
 colors = ['crimson', 'burlywood', 'chartreuse']
 n, bins, patches = ax0.hist(x, 10, normed=1, histtype='bar',
@@ -22,7 +21,7 @@
 ax2.set_title('stepfilled')
 
 # Make a multiple-histogram of data-sets with different length.
-x_multi = [mu + sigma*np.random.randn(n) for n in [10000, 5000, 2000]]
+x_multi = [np.random.randn(n) for n in [10000, 5000, 2000]]
 
 n, bins, patches = ax3.hist(x_multi, 10, histtype='bar')
 ax3.set_title('different sample sizes')

From c3cce1c0a255111caf055144a058a28ab971f319 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 08:23:21 -0500
Subject: [PATCH 15/21] PEP8 fixes

---
 .../pylab_examples/histogram_demo_cumulative.py  | 14 +++++++++-----
 .../pylab_examples/histogram_demo_histtypes.py   | 12 ++++++------
 .../pylab_examples/histogram_demo_multihist.py   | 16 +++++++---------
 3 files changed, 22 insertions(+), 20 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_cumulative.py b/examples/pylab_examples/histogram_demo_cumulative.py
index f976664af63f..d4743900c395 100644
--- a/examples/pylab_examples/histogram_demo_cumulative.py
+++ b/examples/pylab_examples/histogram_demo_cumulative.py
@@ -2,18 +2,22 @@
 import matplotlib.pyplot as plt
 from matplotlib import mlab
 
-mu, sigma = 200, 25
+
+mu = 200
+sigma = 25
+n_bins = 50
 x = mu + sigma*np.random.randn(10000)
-n, bins, patches = plt.hist(x, 50, normed=1, histtype='step', cumulative=True)
+
+n, bins, patches = plt.hist(x, n_bins, normed=1,
+                            histtype='step', cumulative=True)
 
 # Add a line showing the expected distribution.
-y = mlab.normpdf( bins, mu, sigma).cumsum()
+y = mlab.normpdf(bins, mu, sigma).cumsum()
 y /= y[-1]
 plt.plot(bins, y, 'k--', linewidth=1.5)
 
 # Overlay a reverted cumulative histogram.
-n, bins, patches = plt.hist(x, bins=bins, normed=1,
-    histtype='step', cumulative=-1)
+plt.hist(x, bins=bins, normed=1, histtype='step', cumulative=-1)
 
 plt.grid(True)
 plt.ylim(0, 1.05)
diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
index 170c1325eb3e..4aaa0f53f766 100644
--- a/examples/pylab_examples/histogram_demo_histtypes.py
+++ b/examples/pylab_examples/histogram_demo_histtypes.py
@@ -3,22 +3,22 @@
 from matplotlib import mlab
 
 
-mu, sigma = 200, 25
+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, 50, normed=1, histtype='stepfilled',
+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)
+y = mlab.normpdf(bins, mu, sigma)
 ax0.plot(bins, y, 'k--', linewidth=1.5)
-
 ax0.set_title('stepfilled')
 
 # Create a histogram by providing the bin edges (unequally spaced).
-bins = [100,150,180,195,205,220,250,300]
+bins = [100, 150, 180, 195, 205, 220, 250, 300]
 n, bins, patches = ax1.hist(x, bins, normed=1, histtype='bar', rwidth=0.8)
 ax1.set_title('unequal bins')
 
diff --git a/examples/pylab_examples/histogram_demo_multihist.py b/examples/pylab_examples/histogram_demo_multihist.py
index fa8c5fe3fdf4..115f9cc41d04 100644
--- a/examples/pylab_examples/histogram_demo_multihist.py
+++ b/examples/pylab_examples/histogram_demo_multihist.py
@@ -2,28 +2,26 @@
 import matplotlib.pyplot as plt
 
 
+n_bins = 10
+x = np.random.randn(1000, 3)
+
 fig, axes = plt.subplots(nrows=2, ncols=2)
 ax0, ax1, ax2, ax3 = axes.flat
 
-x = np.random.randn(1000,3)
-
 colors = ['crimson', 'burlywood', 'chartreuse']
-n, bins, patches = ax0.hist(x, 10, normed=1, histtype='bar',
-                            color=colors, label=colors)
+ax0.hist(x, n_bins, normed=1, histtype='bar', color=colors, label=colors)
 ax0.legend(prop={'size': 10})
 ax0.set_title('bar')
 
-
-n, bins, patches = ax1.hist(x, 10, normed=1, histtype='bar', stacked=True)
+ax1.hist(x, n_bins, normed=1, histtype='bar', stacked=True)
 ax1.set_title('stacked bar')
 
-n, bins, patches = ax2.hist(x, 10, histtype='step', stacked=True, fill=True)
+ax2.hist(x, n_bins, histtype='step', stacked=True, fill=True)
 ax2.set_title('stepfilled')
 
 # Make a multiple-histogram of data-sets with different length.
 x_multi = [np.random.randn(n) for n in [10000, 5000, 2000]]
-
-n, bins, patches = ax3.hist(x_multi, 10, histtype='bar')
+ax3.hist(x_multi, n_bins, histtype='bar')
 ax3.set_title('different sample sizes')
 
 plt.tight_layout()

From 6d1b8a2ef277091eb718690e4443e6fa30cbc488 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 11:40:04 -0500
Subject: [PATCH 16/21] Add example docstrings

---
 examples/pylab_examples/histogram_demo_cumulative.py |  6 +++++-
 examples/pylab_examples/histogram_demo_histtypes.py  |  7 +++++++
 examples/pylab_examples/histogram_demo_multihist.py  | 10 ++++++++++
 3 files changed, 22 insertions(+), 1 deletion(-)

diff --git a/examples/pylab_examples/histogram_demo_cumulative.py b/examples/pylab_examples/histogram_demo_cumulative.py
index d4743900c395..b555f0060eca 100644
--- a/examples/pylab_examples/histogram_demo_cumulative.py
+++ b/examples/pylab_examples/histogram_demo_cumulative.py
@@ -1,3 +1,7 @@
+"""
+Demo of the histogram (hist) function used to plot a cumulative distribution.
+
+"""
 import numpy as np
 import matplotlib.pyplot as plt
 from matplotlib import mlab
@@ -16,7 +20,7 @@
 y /= y[-1]
 plt.plot(bins, y, 'k--', linewidth=1.5)
 
-# Overlay a reverted cumulative histogram.
+# Overlay a reversed cumulative histogram.
 plt.hist(x, bins=bins, normed=1, histtype='step', cumulative=-1)
 
 plt.grid(True)
diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
index 4aaa0f53f766..1bda872d43cf 100644
--- a/examples/pylab_examples/histogram_demo_histtypes.py
+++ b/examples/pylab_examples/histogram_demo_histtypes.py
@@ -1,3 +1,10 @@
+"""
+Demo of the histogram (hist) function with different ``histtype`` settings.
+
+* Histogram with step curve that has a color fill.
+* Histogram with with unequal bin widths.
+
+"""
 import numpy as np
 import matplotlib.pyplot as plt
 from matplotlib import mlab
diff --git a/examples/pylab_examples/histogram_demo_multihist.py b/examples/pylab_examples/histogram_demo_multihist.py
index 115f9cc41d04..a3f2bcfafc56 100644
--- a/examples/pylab_examples/histogram_demo_multihist.py
+++ b/examples/pylab_examples/histogram_demo_multihist.py
@@ -1,3 +1,13 @@
+"""
+Demo of the histogram (hist) function with multiple data sets.
+
+Plot histogram with multiple sample sets and demonstrate:
+
+    * Use of legend with multiple sample sets
+    * Stacked bars
+    * Step curve with a color fill
+    * Data sets of different sample sizes
+"""
 import numpy as np
 import matplotlib.pyplot as plt
 

From f7b2217a1f92343e8aca0684d19c9915cc2e8674 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 11:42:28 -0500
Subject: [PATCH 17/21] Simplify example.

Remove plot of exact PDF since this is already demoed in another example.
---
 examples/pylab_examples/histogram_demo_histtypes.py | 10 ++--------
 1 file changed, 2 insertions(+), 8 deletions(-)

diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/pylab_examples/histogram_demo_histtypes.py
index 1bda872d43cf..898b90cae17f 100644
--- 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()

From a2b5dcda1d7bd82c29cc27ec61f1e9f782dddbfd Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 11:44:27 -0500
Subject: [PATCH 18/21] Clarify title of plot

---
 examples/pylab_examples/histogram_demo_multihist.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/pylab_examples/histogram_demo_multihist.py b/examples/pylab_examples/histogram_demo_multihist.py
index a3f2bcfafc56..9fb970cd0b2e 100644
--- a/examples/pylab_examples/histogram_demo_multihist.py
+++ b/examples/pylab_examples/histogram_demo_multihist.py
@@ -21,7 +21,7 @@
 colors = ['crimson', 'burlywood', 'chartreuse']
 ax0.hist(x, n_bins, normed=1, histtype='bar', color=colors, label=colors)
 ax0.legend(prop={'size': 10})
-ax0.set_title('bar')
+ax0.set_title('bars with legend')
 
 ax1.hist(x, n_bins, normed=1, histtype='bar', stacked=True)
 ax1.set_title('stacked bar')

From e62e51ec219b13dc61c88391cd052b092590b925 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 11:51:11 -0500
Subject: [PATCH 19/21] Move histogram examples to statistics directory

---
 .../{pylab_examples => statistics}/histogram_demo_cumulative.py   | 0
 .../{pylab_examples => statistics}/histogram_demo_histtypes.py    | 0
 .../{pylab_examples => statistics}/histogram_demo_multihist.py    | 0
 3 files changed, 0 insertions(+), 0 deletions(-)
 rename examples/{pylab_examples => statistics}/histogram_demo_cumulative.py (100%)
 rename examples/{pylab_examples => statistics}/histogram_demo_histtypes.py (100%)
 rename examples/{pylab_examples => statistics}/histogram_demo_multihist.py (100%)

diff --git a/examples/pylab_examples/histogram_demo_cumulative.py b/examples/statistics/histogram_demo_cumulative.py
similarity index 100%
rename from examples/pylab_examples/histogram_demo_cumulative.py
rename to examples/statistics/histogram_demo_cumulative.py
diff --git a/examples/pylab_examples/histogram_demo_histtypes.py b/examples/statistics/histogram_demo_histtypes.py
similarity index 100%
rename from examples/pylab_examples/histogram_demo_histtypes.py
rename to examples/statistics/histogram_demo_histtypes.py
diff --git a/examples/pylab_examples/histogram_demo_multihist.py b/examples/statistics/histogram_demo_multihist.py
similarity index 100%
rename from examples/pylab_examples/histogram_demo_multihist.py
rename to examples/statistics/histogram_demo_multihist.py

From 2dc9a4651e5e566afc0866c603aa8d06aaf32b71 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 12:47:51 -0500
Subject: [PATCH 20/21] Fix example links.

The example linked in backend_driver was broken when examples were
split up and renamed/moved.
---
 examples/tests/backend_driver.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/examples/tests/backend_driver.py b/examples/tests/backend_driver.py
index 1c7a4587538f..0edf4332e586 100755
--- a/examples/tests/backend_driver.py
+++ b/examples/tests/backend_driver.py
@@ -74,7 +74,10 @@
 files['statistics'] = [
     'errorbar_demo.py',
     'errorbar_demo_features.py',
+    'histogram_demo_cumulative.py',
     'histogram_demo_features.py',
+    'histogram_demo_histtypes.py',
+    'histogram_demo_multihist.py',
     ]
 
 files['pie'] = [
@@ -172,7 +175,6 @@
     'hexbin_demo.py',
     'hexbin_demo2.py',
     'hist_colormapped.py',
-    'histogram_demo_extended.py',
     'vline_hline_demo.py',
 
     'image_clip_path.py',

From ef51dc3d4b27e7ad550cd3d2d282531765b0e5a3 Mon Sep 17 00:00:00 2001
From: Tony S Yu <tsyu80@gmail.com>
Date: Sun, 29 Sep 2013 12:48:55 -0500
Subject: [PATCH 21/21] Shorten color names for better gallery build

---
 examples/statistics/histogram_demo_multihist.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/statistics/histogram_demo_multihist.py b/examples/statistics/histogram_demo_multihist.py
index 9fb970cd0b2e..57dd2ac00691 100644
--- a/examples/statistics/histogram_demo_multihist.py
+++ b/examples/statistics/histogram_demo_multihist.py
@@ -18,7 +18,7 @@
 fig, axes = plt.subplots(nrows=2, ncols=2)
 ax0, ax1, ax2, ax3 = axes.flat
 
-colors = ['crimson', 'burlywood', 'chartreuse']
+colors = ['red', 'tan', 'lime']
 ax0.hist(x, n_bins, normed=1, histtype='bar', color=colors, label=colors)
 ax0.legend(prop={'size': 10})
 ax0.set_title('bars with legend')