Pixel perturbation is now 0.5, for a more accurate calculation of exactly how

Daniel Hyams · Daniel Hyams · commit 7e608d4bbcf9 · 2013-02-18T13:33:25.000-05:00
much padding to add.
diff --git a/lib/matplotlib/axis.py b/lib/matplotlib/axis.py
@@ -982,11 +982,11 @@ def _update_ticks(self, renderer):
         
         if hasattr(self, '_get_pixel_distance_along_axis'):
             try:
-               ds1 = self._get_pixel_distance_along_axis(interval_expanded[0], -1) / 2.0
+               ds1 = self._get_pixel_distance_along_axis(interval_expanded[0], -0.5) 
             except:
                ds1 = 0.0
             try:
-               ds2 = self._get_pixel_distance_along_axis(interval_expanded[1], +1) / 2.0
+               ds2 = self._get_pixel_distance_along_axis(interval_expanded[1], +0.5) 
             except:
                ds2 = 0.0
             interval_expanded = (interval[0] - ds1, interval[1] + ds2)
@@ -1622,7 +1622,7 @@ def _get_pixel_distance_along_axis(self, where, perturb):
         """
         Returns the amount, in data coordinates, that a single pixel corresponds to in the
         locality given by "where", which is also given in data coordinates, and is an x coordinate.
-        "perturb" is the amount to perturb the pixel.  Usually +1 or -1.
+        "perturb" is the amount to perturb the pixel.  Usually +0.5 or -0.5.
 
         Implementing this routine for an axis is optional; if present, it will ensure that no
         ticks are lost due to round-off at the extreme ends of an axis.
@@ -1926,7 +1926,7 @@ def _get_pixel_distance_along_axis(self, where, perturb):
         """
         Returns the amount, in data coordinates, that a single pixel corresponds to in the
         locality given by "where", which is also given in data coordinates, and is an y coordinate.
-        "perturb" is the amount to perturb the pixel.  Usually +1 or -1.
+        "perturb" is the amount to perturb the pixel.  Usually +0.5 or -0.5.
 
         Implementing this routine for an axis is optional; if present, it will ensure that no
         ticks are lost due to round-off at the extreme ends of an axis.
