wip

Author: TomAugspurger

pandas/core/arrays/base.py

@@ -9,7 +9,6 @@
 
 import operator
 
-from pandas.core.base import StringMixin
 from pandas.core.dtypes.generic import ABCSeries, ABCIndexClass
 from pandas.errors import AbstractMethodError
 from pandas.compat.numpy import function as nv
@@ -20,7 +19,7 @@
 _not_implemented_message = "{} does not implement {}."
 
 
-class ExtensionArray(StringMixin):
+class ExtensionArray(object):
  """Abstract base class for custom 1-D array types.
 
  pandas will recognize instances of this class as proper arrays
@@ -50,7 +49,7 @@ class ExtensionArray(StringMixin):
  by overriding:
 
  * _formatter
- * __unicode__
+ * __repr__
 
  Some methods require casting the ExtensionArray to an ndarray of Python
  objects with ``self.astype(object)``, which may be expensive. When
@@ -658,7 +657,7 @@ def copy(self, deep=False):
  # ------------------------------------------------------------------------
  # Printing
  # ------------------------------------------------------------------------
- def __unicode__(self):
+ def __repr__(self):
  from pandas.io.formats.printing import format_object_summary
 
  template = (
@@ -686,18 +685,22 @@ def _formatter(self, formatter=None):
  Parameters
  ----------
  formatter: GenericArrayFormatter, optional
- The formatter this array is being rendered with. The formatter
- may have a `.formatter` method already defined. By default, this
- will be used if a `formatter` is passed, otherwise the formatter
- is ``str``.
+ The formatter this array is being rendered with. This will be
+ passed when the ExtensionArray is being rendered inside of a
+ Series, Index, or DataFrame. This will be ``None`` when called
+ from a top-level ``repr(array)``.
+
+ By default, when ``formatter`` is passed, the return value
+ is ``formatter.formatter``. Otherwise, the default formatter
+ is ``repr``.
 
  Returns
  -------
  Callable[[Any], str]
  A callable that gets instances of the scalar type and
  returns a string.
  """
- return getattr(formatter, 'formatter', None) or str
+ return getattr(formatter, 'formatter', None) or repr
 
  def _formatting_values(self):
  # type: () -> np.ndarray