Fixup some variable naming

Author: mdboom

lib/matplotlib/axes.py

@@ -2729,7 +2729,7 @@ def set_yticks(self, ticks, minor=False):
 
     def get_ymajorticklabels(self):
         """
-        Get the major y tick labels as a list of 
+        Get the major y tick labels as a list of
         :class:`~matplotlib.text.Text` instances.
         """
         return cbook.silent_list('Text yticklabel',
@@ -5207,7 +5207,7 @@ def errorbar(self, x, y, yerr=None, xerr=None,
             only upper/lower limits. In that case a caret symbol is
             used to indicate this. lims-arguments may be of the same
             type as *xerr* and *yerr*.
-            
+
           *errorevery*: positive integer
             subsamples the errorbars. Eg if everyerror=5, errorbars for every
             5-th datapoint will be plotted. The data plot itself still shows
@@ -5361,7 +5361,7 @@ def xywhere(xs, ys, mask):
                     leftlo, ylo = xywhere(left, y, xlolims & everymask)
                     caplines.extend( self.plot(leftlo, ylo, 'k|', **plot_kw) )
                 else:
-                    
+
                     leftlo, ylo = xywhere(left, y, everymask)
                     caplines.extend( self.plot(leftlo, ylo, 'k|', **plot_kw) )
 
@@ -6175,9 +6175,6 @@ def hexbin(self, x, y, C = None, gridsize = 100, bins = None,
                 lattice1.astype(float).ravel(), lattice2.astype(float).ravel()))
             good_idxs = ~np.isnan(accum)
 
-        px = sx * np.array([ 0.5, 0.5, 0.0, -0.5, -0.5,  0.0])
-        py = sy * np.array([-0.5, 0.5, 1.0,  0.5, -0.5, -1.0]) / 3.0
-
         offsets = np.zeros((n, 2), float)
         offsets[:nx1*ny1,0] = np.repeat(np.arange(nx1), ny1)
         offsets[:nx1*ny1,1] = np.tile(np.arange(ny1), nx1)
@@ -6202,15 +6199,15 @@ def hexbin(self, x, y, C = None, gridsize = 100, bins = None,
             ymax = 10**ymax
             self.set_yscale('log')
 
-        polygons = np.zeros((6, 2), float)
-        polygons[:,0] = px
-        polygons[:,1] = py
+        polygon = np.zeros((6, 2), float)
+        polygon[:,0] = sx * np.array([ 0.5, 0.5, 0.0, -0.5, -0.5,  0.0])
+        polygon[:,1] = sy * np.array([-0.5, 0.5, 1.0,  0.5, -0.5, -1.0]) / 3.0
 
         if edgecolors=='none':
             edgecolors = 'face'
 
         collection = mcoll.PolyCollection(
-            [polygons],
+            [polygon],
             edgecolors = edgecolors,
             linewidths = linewidths,
             offsets = offsets,