make is_memory_usage_qualified a private Index method

Author: jreback

pandas/core/frame.py

@@ -1753,7 +1753,7 @@ def _sizeof_fmt(num, size_qualifier):
                 # categories)
                 deep = False
                 if ('object' in counts or
-                        self.index.is_memory_usage_qualified()):
+                        self.index._is_memory_usage_qualified()):
                     size_qualifier = '+'
             mem_usage = self.memory_usage(index=True, deep=deep).sum()
             lines.append("memory usage: %s\n" %

pandas/indexes/base.py

@@ -1431,7 +1431,7 @@ def inferred_type(self):
         """ return a string of the type inferred from the values """
         return lib.infer_dtype(self)
 
-    def is_memory_usage_qualified(self):
+    def _is_memory_usage_qualified(self):
         """ return a boolean if we need a qualified .info display """
         return self.is_object()
 

pandas/indexes/multi.py

@@ -428,7 +428,7 @@ def _shallow_copy(self, values=None, **kwargs):
     def dtype(self):
         return np.dtype('O')
 
-    def is_memory_usage_qualified(self):
+    def _is_memory_usage_qualified(self):
         """ return a boolean if we need a qualified .info display """
         def f(l):
             return 'mixed' in l or 'string' in l or 'unicode' in l