diff --git a/tutorials/introductory/customizing.py b/tutorials/introductory/customizing.py
index 39cb457e9c66..d44c77df1eb5 100644
--- a/tutorials/introductory/customizing.py
+++ b/tutorials/introductory/customizing.py
@@ -21,6 +21,7 @@
 import numpy as np
 import matplotlib.pyplot as plt
 import matplotlib as mpl
+from cycler import cycler
 plt.style.use('ggplot')
 data = np.random.randn(50)
 
@@ -107,15 +108,22 @@
 # the matplotlib package. rcParams can be modified directly, for example:
 
 mpl.rcParams['lines.linewidth'] = 2
-mpl.rcParams['lines.color'] = 'r'
+mpl.rcParams['lines.linestyle'] = '--'
 plt.plot(data)
 
+###############################################################################
+# Note, that in order to change the usual `plot` color you have to change the
+# *prop_cycle* property of *axes*:
+
+mpl.rcParams['axes.prop_cycle'] = cycler(color=['r', 'g', 'b', 'y'])
+plt.plot(data)  # first color is red
+
 ###############################################################################
 # Matplotlib also provides a couple of convenience functions for modifying rc
 # settings. The :func:`matplotlib.rc` command can be used to modify multiple
 # settings in a single group at once, using keyword arguments:
 
-mpl.rc('lines', linewidth=4, color='g')
+mpl.rc('lines', linewidth=4, linestyle='-.')
 plt.plot(data)
 
 ###############################################################################