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

@@ -1429,7 +1429,7 @@ 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