Format MaxNLocator with numpydoc

timhoffm · timhoffm · commit 0b5a9b2f481c · 2018-12-16T20:56:40.000+01:00
diff --git a/lib/matplotlib/ticker.py b/lib/matplotlib/ticker.py
@@ -1833,32 +1833,30 @@ class MaxNLocator(Locator):
 
     def __init__(self, *args, **kwargs):
         """
-        Keyword args:
-
-        *nbins*
+        Parameters
+        ----------
+        nbins : int or 'auto', optional, default: 10
             Maximum number of intervals; one less than max number of
             ticks.  If the string `'auto'`, the number of bins will be
             automatically determined based on the length of the axis.
 
-        *steps*
+        steps: array-like, optional
             Sequence of nice numbers starting with 1 and ending with 10;
             e.g., [1, 2, 4, 5, 10], where the values are acceptable
             tick multiples.  i.e. for the example, 20, 40, 60 would be
             an acceptable set of ticks, as would 0.4, 0.6, 0.8, because
             they are multiples of 2.  However, 30, 60, 90 would not
             be allowed because 3 does not appear in the list of steps.
 
-        *integer*
+        integer : bool, optional, default: False
             If True, ticks will take only integer values, provided
             at least `min_n_ticks` integers are found within the
             view limits.
 
-        *symmetric*
-            If True, autoscaling will result in a range symmetric
-            about zero.
+        symmetric : bool, optional, default: False
+            If True, autoscaling will result in a range symmetric about zero.
 
-        *prune*
-            ['lower' | 'upper' | 'both' | None]
+        prune : {'lower', 'upper', 'both', None}, optional, default: None
             Remove edge ticks -- useful for stacked or ganged plots where
             the upper tick of one axes overlaps with the lower tick of the
             axes above it, primarily when :rc:`axes.autolimit_mode` is
@@ -1867,9 +1865,9 @@ def __init__(self, *args, **kwargs):
             removed.  If ``prune == 'both'``, the largest and smallest ticks
             will be removed.  If ``prune == None``, no ticks will be removed.
 
-        *min_n_ticks*
-            Relax `nbins` and `integer` constraints if necessary to
-            obtain this minimum number of ticks.
+        min_n_ticks : int, optional, default: 2
+            Relax *nbins* and *integer* constraints if necessary to obtain
+            this minimum number of ticks.
 
         """
         if args:
