Update interpolation_none_vs_nearest.py

breedlun · breedlun · commit 57cb972930ce · 2014-04-27T09:33:28.000-06:00
Changed the last few lines so that the auto-documentation build process correctly displays the results of the example.
diff --git a/examples/images_contours_and_fields/interpolation_none_vs_nearest.py b/examples/images_contours_and_fields/interpolation_none_vs_nearest.py
@@ -41,8 +41,22 @@
 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')
+#If you were going to run this example on your local machine, you 
+#would save the figure as a PNG, save the same figure as a PDF, and 
+#then compare them.  The following code would suffice.
+txt = fig1.text(0.452, 0.95, 'Saved as a PNG', fontsize = 18)
+# plt.savefig('None_vs_nearest-png.png')
+# txt.set_text('Saved as a PDF')
+# plt.savefig('None_vs_nearest-pdf.pdf')
+
+#Here, however, we need to display the PDF on a webpage, which means
+#the PDF must be converted into an image.  For the purposes of this 
+#example, the 'Nearest_vs_none-pdf.pdf' has been pre-converted into 
+#'Nearest_vs_none-pdf.png' at 80 dpi.  We simply need to load and
+#display it.
+pdf_im_path = cbook.get_sample_data('None_vs_nearest-pdf.png')
+pdf_im = plt.imread(pdf_im_path)
+fig2 = plt.figure(figsize = [8.0, 7.5])
+plt.figimage(pdf_im)
+
+plt.show()
