diff --git a/doc/users/history.rst b/doc/users/history.rst
index 3501641d9070..c51909872b7e 100644
--- a/doc/users/history.rst
+++ b/doc/users/history.rst
@@ -92,3 +92,36 @@ dynamically-generated web pages.  Some use Matplotlib interactively
 from the Python shell in Tkinter on Windows. My primary use is to
 embed Matplotlib in a Gtk+ EEG application that runs on Windows, Linux
 and Macintosh OS X.
+
+----
+
+Matplotlib's original logo (2003 -- 2008).
+
+..
+   The original logo was added in fc8c215.
+
+.. plot::
+
+   from matplotlib import cbook, pyplot as plt, style
+   import numpy as np
+
+   style.use("classic")
+
+   datafile = cbook.get_sample_data('membrane.dat', asfileobj=False)
+
+   # convert data to mV
+   x = 1000 * 0.1 * np.fromstring(open(datafile, 'rb').read(), np.float32)
+   # 0.0005 is the sample interval
+   t = 0.0005 * np.arange(len(x))
+   plt.figure(1, figsize=(7, 1), dpi=100)
+   ax = plt.subplot(111, facecolor='y')
+   plt.plot(t, x)
+   plt.text(0.5, 0.5, 'matplotlib', color='r',
+            fontsize=40, fontname=['Courier', 'DejaVu Sans Mono'],
+            horizontalalignment='center',
+            verticalalignment='center',
+            transform=ax.transAxes,
+            )
+   plt.axis([1, 1.72, -60, 10])
+   plt.gca().set_xticklabels([])
+   plt.gca().set_yticklabels([])
diff --git a/examples/misc/logo.py b/examples/misc/logo.py
deleted file mode 100644
index 226088a36821..000000000000
--- a/examples/misc/logo.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""
-====
-Logo
-====
-
-This file generates an old version of the Matplotlib logo.
-"""
-
-from __future__ import print_function
-# Above import not necessary for Python 3 onwards. Recommend taking this
-# out in examples in the future, since we should all move to Python 3.
-import matplotlib.pyplot as plt
-import numpy as np
-import matplotlib.cbook as cbook
-
-# convert data to mV
-datafile = cbook.get_sample_data('membrane.dat', asfileobj=False)
-print('loading', datafile)
-
-x = 1000 * 0.1 * np.fromstring(open(datafile, 'rb').read(), np.float32)
-# 0.0005 is the sample interval
-t = 0.0005 * np.arange(len(x))
-plt.figure(1, figsize=(7, 1), dpi=100)
-ax = plt.subplot(111, facecolor='y')
-plt.plot(t, x)
-plt.text(0.5, 0.5, 'matplotlib', color='r',
-         fontsize=40, fontname=['Courier', 'DejaVu Sans Mono'],
-         horizontalalignment='center',
-         verticalalignment='center',
-         transform=ax.transAxes,
-         )
-plt.axis([1, 1.72, -60, 10])
-plt.gca().set_xticklabels([])
-plt.gca().set_yticklabels([])
-
-plt.show()