matplotlib
diff --git a/‎lib/matplotlib/axis.py
Copy file name to clipboardExpand all lines: lib/matplotlib/axis.py
+1-1Lines changed: 1 addition & 1 deletion b/‎lib/matplotlib/axis.py
Copy file name to clipboardExpand all lines: lib/matplotlib/axis.py
+1-1Lines changed: 1 addition & 1 deletion
diff --git a/‎lib/matplotlib/units.py
Copy file name to clipboardExpand all lines: lib/matplotlib/units.py
+15-16Lines changed: 15 additions & 16 deletions b/‎lib/matplotlib/units.py
Copy file name to clipboardExpand all lines: lib/matplotlib/units.py
+15-16Lines changed: 15 additions & 16 deletions
@@ -1566,7 +1566,7 @@ def have_units(self):
 
     def convert_units(self, x):
         # If x is natively supported by Matplotlib, doesn't need converting
-        if munits.ConversionInterface.is_natively_supported(x):
+        if munits._is_natively_supported(x):
             return x
 
         if self.converter is None:
 
@@ -42,11 +42,11 @@ def default_units(x, axis):
 
 """
 
+from decimal import Decimal
 from numbers import Number
 
 import numpy as np
 from numpy import ma
-from decimal import Decimal
 
 from matplotlib import cbook
 
@@ -55,6 +55,20 @@ class ConversionError(TypeError):
     pass
 
 
+def _is_natively_supported(x):
+    """
+    Return whether *x* is of a type that Matplotlib natively supports or an
+    array of objects of such types.
+    """
+    # Matplotlib natively supports all number types except Decimal.
+    if np.iterable(x):
+        # Assume lists are homogeneous as other functions in unit system.
+        for thisx in x:
+            return isinstance(thisx, Number) and not isinstance(thisx, Decimal)
+    else:
+        return isinstance(x, Number) and not isinstance(x, Decimal)
+
+
 class AxisInfo:
     """
     Information to support default axis labeling, tick labeling, and limits.
@@ -134,21 +148,6 @@ def is_numlike(x):
         else:
             return isinstance(x, Number)
 
-    @staticmethod
-    def is_natively_supported(x):
-        """
-        Return whether *x* is of a type that Matplotlib natively supports or
-        *x* is array of objects of such types.
-        """
-        # Matplotlib natively supports all number types except Decimal
-        if np.iterable(x):
-            # Assume lists are homogeneous as other functions in unit system
-            for thisx in x:
-                return (isinstance(thisx, Number) and
-                        not isinstance(thisx, Decimal))
-        else:
-            return isinstance(x, Number) and not isinstance(x, Decimal)
-
 
 class DecimalConverter(ConversionInterface):
     """