matplotlib
diff --git a/‎examples/images_contours_and_fields/interpolation_methods.py
Copy file name to clipboardExpand all lines: examples/images_contours_and_fields/interpolation_methods.py
+3-3Lines changed: 3 additions & 3 deletions b/‎examples/images_contours_and_fields/interpolation_methods.py
Copy file name to clipboardExpand all lines: examples/images_contours_and_fields/interpolation_methods.py
+3-3Lines changed: 3 additions & 3 deletions
diff --git a/‎examples/ticks/tick_label_right.py
Copy file name to clipboardExpand all lines: examples/ticks/tick_label_right.py
+3-4Lines changed: 3 additions & 4 deletions b/‎examples/ticks/tick_label_right.py
Copy file name to clipboardExpand all lines: examples/ticks/tick_label_right.py
+3-4Lines changed: 3 additions & 4 deletions
@@ -10,12 +10,12 @@
 If the interpolation is ``'none'``, then no interpolation is performed for the
 Agg, ps and pdf backends. Other backends will default to ``'antialiased'``.
 
-For the Agg, ps and pdf backends, ``interpolation = 'none'`` works well when a
-big image is scaled down, while ``interpolation = 'nearest'`` works well when
+For the Agg, ps and pdf backends, ``interpolation='none'`` works well when a
+big image is scaled down, while ``interpolation='nearest'`` works well when
 a small image is scaled up.
 
 See :doc:`/gallery/images_contours_and_fields/image_antialiasing` for a
-discussion on the default ``interpolation="antialiased"`` option.
+discussion on the default ``interpolation='antialiased'`` option.
 """
 
 import matplotlib.pyplot as plt
 
@@ -3,10 +3,9 @@
 Set default y-axis tick labels on the right
 ============================================
 
-We can use :rc:`ytick.labelright` (default False) and :rc:`ytick.right`
-(default False) and :rc:`ytick.labelleft` (default True) and :rc:`ytick.left`
-(default True) to control where on the axes ticks and their labels appear.
-These properties can also be set in the ``.matplotlib/matplotlibrc``.
+We can use :rc:`ytick.labelright`, :rc:`ytick.right`, :rc:`ytick.labelleft`,
+and :rc:`ytick.left` to control where on the axes ticks and their labels
+appear. These properties can also be set in ``.matplotlib/matplotlibrc``.
 
 """
 import matplotlib.pyplot as plt