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diff --git a/examples/images_contours_and_fields/interpolation_none_vs_nearest.py b/examples/images_contours_and_fields/interpolation_none_vs_nearest.py
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+"""
+Displays the difference between interpolation = 'none' and 
+interpolation = 'nearest'.
+
+The two types of interpolation are practically equivalent when converting a 
+figure to an image file, such as a PNG.  Interpolation = 'none' and 
+interpolation = 'nearest' behave quite differently, however, when converting a 
+figure to a vector graphics file, such as a PDF.  As shown, 
+Interpolation = 'none' works well when a big image is scaled down, while 
+interpolation = 'nearest' works well when a small image is blown up.
+"""
+
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.cbook as cbook
+
+#Load big image
+big_im_path = cbook.get_sample_data('necked_tensile_specimen.png')
+big_im = plt.imread(big_im_path)
+#Define small image
+small_im = np.array([[0.25, 0.75, 1.0, 0.75], [0.1, 0.65, 0.5, 0.4], \
+    [0.6, 0.3, 0.0, 0.2], [0.7, 0.9, 0.4, 0.6]])
+
+#Create a 2x2 table of plots
+fig = plt.figure(figsize = [8.0, 7.5])
+ax = plt.subplot(2,2,1)
+ax.imshow(big_im, interpolation = 'none')
+ax = plt.subplot(2,2,2)
+ax.imshow(big_im, interpolation = 'nearest')
+ax = plt.subplot(2,2,3)
+ax.imshow(small_im, interpolation = 'none')
+ax = plt.subplot(2,2,4)
+ax.imshow(small_im, interpolation = 'nearest')
+plt.subplots_adjust(left = 0.24, wspace = 0.2, hspace = 0.1, \
+    bottom = 0.05, top = 0.86)
+
+#Label the rows and columns of the table
+fig.text(0.03, 0.645, 'Big Image\nScaled Down', ha = 'left')
+fig.text(0.03, 0.225, 'Small Image\nBlown Up', ha = 'left')
+fig.text(0.383, 0.90, "Interpolation = 'none'", ha = 'center')
+fig.text(0.75, 0.90, "Interpolation = 'nearest'", ha = 'center')
+
+#Save as a png and as a pdf
+txt = fig.text(0.452, 0.95, 'Saved as a PNG', fontsize = 18)
+plt.savefig('Nearest_vs_none.png', bbox_inches = 'tight')
+txt.set_text('Saved as a PDF')
+plt.savefig('Nearest_vs_none.pdf', bbox_inches = 'tight')
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diff --git a/lib/matplotlib/mpl-data/sample_data/necked_tensile_specimen.png b/lib/matplotlib/mpl-data/sample_data/necked_tensile_specimen.png
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