CLN16668: remove OrderedDefaultDict (pandas-dev#16939)

Author: faic

pandas/compat/__init__.py

@@ -21,7 +21,6 @@
   given metaclass instead (and avoids intermediary class creation)
 
 Other items:
-* OrderedDefaultDict
 * platform checker
 """
 # pylint disable=W0611
@@ -373,30 +372,6 @@ def parse_date(timestr, *args, **kwargs):
     parse_date = _date_parser.parse
 
 
-class OrderedDefaultdict(OrderedDict):
-
-    def __init__(self, *args, **kwargs):
-        newdefault = None
-        newargs = ()
-        if args:
-            newdefault = args[0]
-            if not (newdefault is None or callable(newdefault)):
-                raise TypeError('first argument must be callable or None')
-            newargs = args[1:]
-        self.default_factory = newdefault
-        super(self.__class__, self).__init__(*newargs, **kwargs)
-
-    def __missing__(self, key):
-        if self.default_factory is None:
-            raise KeyError(key)
-        self[key] = value = self.default_factory()
-        return value
-
-    def __reduce__(self):  # optional, for pickle support
-        args = self.default_factory if self.default_factory else tuple()
-        return type(self), args, None, None, list(self.items())
-
-
 # https://github.com/pandas-dev/pandas/pull/9123
 def is_platform_little_endian():
     """ am I little endian """

pandas/core/panel.py

@@ -19,7 +19,7 @@
 import pandas.core.ops as ops
 import pandas.core.missing as missing
 from pandas import compat
-from pandas.compat import (map, zip, range, u, OrderedDict, OrderedDefaultdict)
+from pandas.compat import (map, zip, range, u, OrderedDict)
 from pandas.compat.numpy import function as nv
 from pandas.core.common import _try_sort, _default_index
 from pandas.core.frame import DataFrame
@@ -260,9 +260,11 @@ def from_dict(cls, data, intersect=False, orient='items', dtype=None):
         -------
         Panel
         """
+        from collections import defaultdict
+
         orient = orient.lower()
         if orient == 'minor':
-            new_data = OrderedDefaultdict(dict)
+            new_data = defaultdict(OrderedDict)
             for col, df in compat.iteritems(data):
                 for item, s in compat.iteritems(df):
                     new_data[item][col] = s