Use super() in tick locator classes.

QuLogic · QuLogic · commit 92d7b7ac8e5d · 2020-07-27T16:57:28.000-04:00
diff --git a/lib/matplotlib/ticker.py b/lib/matplotlib/ticker.py
@@ -2750,13 +2750,13 @@ def __init__(self, minor=False, *, nbins="auto"):
         """
 
         self._minor = minor
-        MaxNLocator.__init__(self, nbins=nbins, steps=[1, 2, 5, 10])
+        super().__init__(nbins=nbins, steps=[1, 2, 5, 10])
 
     def set_params(self, minor=None, **kwargs):
         """Set parameters within this locator."""
         if minor is not None:
             self._minor = minor
-        MaxNLocator.set_params(self, **kwargs)
+        super().set_params(**kwargs)
 
     @property
     def minor(self):
@@ -2841,7 +2841,7 @@ def ideal_ticks(x):
         # the scale is zoomed so same ticks as linear scale can be used
         if self._minor:
             return []
-        return MaxNLocator.tick_values(self, vmin, vmax)
+        return super().tick_values(vmin, vmax)
 
     def nonsingular(self, vmin, vmax):
         standard_minpos = 1e-7
@@ -2897,7 +2897,7 @@ def __init__(self):
         else:
             nbins = 'auto'
             steps = [1, 2, 2.5, 5, 10]
-        MaxNLocator.__init__(self, nbins=nbins, steps=steps)
+        super().__init__(nbins=nbins, steps=steps)
 
 
 class AutoMinorLocator(Locator):
diff --git a/lib/mpl_toolkits/axisartist/grid_finder.py b/lib/mpl_toolkits/axisartist/grid_finder.py
@@ -238,15 +238,14 @@ def __init__(self, nbins=10, steps=None,
                  symmetric=False,
                  prune=None):
         # trim argument has no effect. It has been left for API compatibility
-        mticker.MaxNLocator.__init__(self, nbins, steps=steps,
-                                     integer=integer,
-                                     symmetric=symmetric, prune=prune)
+        super().__init__(nbins, steps=steps, integer=integer,
+                         symmetric=symmetric, prune=prune)
         self.create_dummy_axis()
         self._factor = 1
 
     def __call__(self, v1, v2):
         self.set_bounds(v1 * self._factor, v2 * self._factor)
-        locs = mticker.MaxNLocator.__call__(self)
+        locs = super().__call__()
         return np.array(locs), len(locs), self._factor
 
     @cbook.deprecated("3.3")
