BUG: Compat for pre-0.20 TimedeltaIndex and Float64Index pickles #19939 (#19943)

Author: Liam3851

doc/source/whatsnew/v0.23.0.txt

@@ -957,6 +957,7 @@ I/O
 - :class:`Interval` now supported in :func:`DataFrame.to_excel` for all Excel file types (:issue:`19242`)
 - :class:`Timedelta` now supported in :func:`DataFrame.to_excel` for all Excel file types (:issue:`19242`, :issue:`9155`, :issue:`19900`)
 - Bug in :meth:`pandas.io.stata.StataReader.value_labels` raising an ``AttributeError`` when called on very old files. Now returns an empty dict (:issue:`19417`)
+- Bug in :func:`read_pickle` when unpickling objects with :class:`TimedeltaIndex` or :class:`Float64Index` created with pandas prior to version 0.20 (:issue:`19939`)
 
 Plotting
 ^^^^^^^^

pandas/compat/pickle_compat.py

@@ -113,6 +113,12 @@ def load_reduce(self):
  # 19269, arrays moving
  ('pandas.core.categorical', 'Categorical'):
  ('pandas.core.arrays', 'Categorical'),
+
+ # 19939, add timedeltaindex, float64index compat from 15998 move
+ ('pandas.tseries.tdi', 'TimedeltaIndex'):
+ ('pandas.core.indexes.timedeltas', 'TimedeltaIndex'),
+ ('pandas.indexes.numeric', 'Float64Index'):
+ ('pandas.core.indexes.numeric', 'Float64Index'),
 }
 
 

pandas/tests/io/data/legacy_pickle/0.16.2/0.16.2_AMD64_windows_2.7.14.pickle

@@ -40,7 +40,7 @@
 from pandas import (Series, DataFrame, Panel,
  SparseSeries, SparseDataFrame,
  Index, MultiIndex, bdate_range, to_msgpack,
- date_range, period_range,
+ date_range, period_range, timedelta_range,
  Timestamp, NaT, Categorical, Period)
 from pandas.tseries.offsets import (
  DateOffset, Hour, Minute, Day,
@@ -116,7 +116,18 @@ def create_data():
 
  index = dict(int=Index(np.arange(10)),
  date=date_range('20130101', periods=10),
- period=period_range('2013-01-01', freq='M', periods=10))
+ period=period_range('2013-01-01', freq='M', periods=10),
+ float=Index(np.arange(10, dtype=np.float64)),
+ uint=Index(np.arange(10, dtype=np.uint64)),
+ timedelta=timedelta_range('00:00:00', freq='30T', periods=10))
+
+ if _loose_version >= LooseVersion('0.18'):
+ from pandas import RangeIndex
+ index['range'] = RangeIndex(10)
+
+ if _loose_version >= LooseVersion('0.21'):
+ from pandas import interval_range
+ index['interval'] = interval_range(0, periods=10)
 
  mi = dict(reg2=MultiIndex.from_tuples(
  tuple(zip(*[[u'bar', u'bar', u'baz', u'baz', u'foo',
@@ -276,6 +287,8 @@ def create_msgpack_data():
  del data['frame']['cat_onecol']
  del data['frame']['cat_and_float']
  del data['scalars']['period']
+ del data['index']['interval']
+ del data['offsets']
  return _u(data)