matplotlib · jenshnielsen · Jul 15, 2015 · Jul 14, 2015 · Jul 14, 2015
diff --git a/examples/pylab_examples/set_and_get.py b/examples/pylab_examples/set_and_get.py
@@ -1,49 +1,49 @@
 """

-MATLAB and pylab allow you to use setp and get to set and get
+The pyplot interface allows you to use setp and getp to set and get
 object properties, as well as to do introspection on the object

-set
+set:
    To set the linestyle of a line to be dashed, you can do

-      >>> line, = plot([1,2,3])
-      >>> setp(line, linestyle='--')
+      >>> line, = plt.plot([1,2,3])
+      >>> plt.setp(line, linestyle='--')

    If you want to know the valid types of arguments, you can provide the
    name of the property you want to set without a value

-      >>> setp(line, 'linestyle')
+      >>> plt.setp(line, 'linestyle')
          linestyle: [ '-' | '--' | '-.' | ':' | 'steps' | 'None' ]

    If you want to see all the properties that can be set, and their
    possible values, you can do

-        >>> setp(line)
+        >>> plt.setp(line)

    set operates on a single instance or a list of instances.  If you are
    in query mode introspecting the possible values, only the first
    instance in the sequence is used.  When actually setting values, all
    the instances will be set.  e.g., suppose you have a list of two lines,
    the following will make both lines thicker and red

-        >>> x = arange(0,1.0,0.01)
-        >>> y1 = sin(2*pi*x)
-        >>> y2 = sin(4*pi*x)
-        >>> lines = plot(x, y1, x, y2)
-        >>> setp(lines, linewidth=2, color='r')
+        >>> x = np.arange(0,1.0,0.01)
+        >>> y1 = np.sin(2*np.pi*x)
+        >>> y2 = np.sin(4*np.pi*x)
+        >>> lines = plt.plot(x, y1, x, y2)
+        >>> plt.setp(lines, linewidth=2, color='r')


 get:

    get returns the value of a given attribute.  You can use get to query
    the value of a single attribute

-        >>> getp(line, 'linewidth')
+        >>> plt.getp(line, 'linewidth')
            0.5

    or all the attribute/value pairs

-    >>> getp(line)
+    >>> plt.getp(line)
        aa = True
        alpha = 1.0
        antialiased = True
@@ -65,33 +65,35 @@
 """

 from __future__ import print_function
-from pylab import *

+import matplotlib.pyplot as plt
+import numpy as np

-x = arange(0, 1.0, 0.01)
-y1 = sin(2*pi*x)
-y2 = sin(4*pi*x)
-lines = plot(x, y1, x, y2)
+
+x = np.arange(0, 1.0, 0.01)
+y1 = np.sin(2*np.pi*x)
+y2 = np.sin(4*np.pi*x)
+lines = plt.plot(x, y1, x, y2)
 l1, l2 = lines
-setp(lines, linestyle='--')       # set both to dashed
-setp(l1, linewidth=2, color='r')  # line1 is thick and red
-setp(l2, linewidth=1, color='g')  # line2 is thicker and green
+plt.setp(lines, linestyle='--')       # set both to dashed
+plt.setp(l1, linewidth=2, color='r')  # line1 is thick and red
+plt.setp(l2, linewidth=1, color='g')  # line2 is thicker and green


 print('Line setters')
-setp(l1)
+plt.setp(l1)
 print('Line getters')
-getp(l1)
+plt.getp(l1)

 print('Rectangle setters')
-setp(gca().patch)
+plt.setp(plt.gca().patch)
 print('Rectangle getters')
-getp(gca().patch)
+plt.getp(plt.gca().patch)

-t = title('Hi mom')
+t = plt.title('Hi mom')
 print('Text setters')
-setp(t)
+plt.setp(t)
 print('Text getters')
-getp(t)
+plt.getp(t)

-show()
+plt.show()