DEPR: Deprecate DateRange [fix pandas-dev#6816]

Author: jsexauer

pandas/core/api.py

@@ -28,7 +28,6 @@
 from pandas.tseries.period import Period, PeriodIndex
 
 # legacy
-from pandas.core.daterange import DateRange  # deprecated
 from pandas.core.common import save, load  # deprecated, remove in 0.13
 import pandas.core.datetools as datetools
 

pandas/core/daterange.py

@@ -3888,26 +3888,6 @@ def _sanitize_and_check(indexes):
         return indexes, 'array'
 
 
-def _handle_legacy_indexes(indexes):
-    from pandas.core.daterange import DateRange
-    from pandas.tseries.index import DatetimeIndex
-
-    converted = []
-    for index in indexes:
-        if isinstance(index, DateRange):
-            if len(index) == 0:
-                kwds = dict(data=[], freq=index.offset, tz=index.tzinfo)
-            else:
-                kwds = dict(start=index[0], end=index[-1],
-                            freq=index.offset, tz=index.tzinfo)
-
-            index = DatetimeIndex(**kwds)
-
-        converted.append(index)
-
-    return converted
-
-
 def _get_consensus_names(indexes):
 
     # find the non-none names, need to tupleify to make

pandas/core/index.py

@@ -12,8 +12,7 @@
                                 _NS_DTYPE, _TD_DTYPE, ABCSeries, is_list_like,
                                 ABCSparseSeries, _infer_dtype_from_scalar,
                                 _values_from_object, _is_null_datelike_scalar)
-from pandas.core.index import (Index, MultiIndex, _ensure_index,
-                               _handle_legacy_indexes)
+from pandas.core.index import Index, MultiIndex, _ensure_index
 from pandas.core.indexing import (_maybe_convert_indices, _length_of_indexer)
 import pandas.core.common as com
 from pandas.sparse.array import _maybe_to_sparse, SparseArray
@@ -2369,7 +2368,6 @@ def __setstate__(self, state):
         ax_arrays, bvalues, bitems = state[:3]
 
         self.axes = [_ensure_index(ax) for ax in ax_arrays]
-        self.axes = _handle_legacy_indexes(self.axes)
 
         blocks = []
         for values, items in zip(bvalues, bitems):

pandas/core/internals.py

@@ -26,7 +26,7 @@
                                 _ensure_object, SettingWithCopyError)
 
 from pandas.core.index import (Index, MultiIndex, InvalidIndexError,
-                               _ensure_index, _handle_legacy_indexes)
+                               _ensure_index)
 from pandas.core.indexing import (
     _check_bool_indexer,
     _is_index_slice, _maybe_convert_indices)
@@ -426,7 +426,6 @@ def _unpickle_series_compat(self, state):
             index, name = own_state[0], None
             if len(own_state) > 1:
                 name = own_state[1]
-            index = _handle_legacy_indexes([index])[0]
 
             # recreate
             self._data = SingleBlockManager(data, index, fastpath=True)

pandas/core/series.py

@@ -15,7 +15,6 @@
                     isnull, date_range, Timestamp, Period, DatetimeIndex,
                     Int64Index, to_datetime, bdate_range, Float64Index)
 
-from pandas.core.daterange import DateRange
 import pandas.core.datetools as datetools
 import pandas.tseries.offsets as offsets
 import pandas.tseries.tools as tools

pandas/tseries/tests/test_timeseries.py

@@ -13,7 +13,6 @@
                     isnull, date_range, Timestamp, DatetimeIndex,
                     Int64Index, to_datetime, bdate_range)
 
-from pandas.core.daterange import DateRange
 import pandas.core.datetools as datetools
 import pandas.tseries.offsets as offsets
 import pandas.tseries.frequencies as fmod
@@ -285,8 +284,8 @@ def test_inferTimeRule(self):
         self.assertRaises(Exception, inferTimeRule, index3)
 
     def test_time_rule(self):
-        result = DateRange('1/1/2000', '1/30/2000', time_rule='WEEKDAY')
-        result2 = DateRange('1/1/2000', '1/30/2000', timeRule='WEEKDAY')
+        result = DatetimeIndex('1/1/2000', '1/30/2000', time_rule='WEEKDAY')
+        result2 = DatetimeIndex('1/1/2000', '1/30/2000', timeRule='WEEKDAY')
         expected = date_range('1/1/2000', '1/30/2000', freq='B')
 
         self.assert_(result.equals(expected))

pandas/tseries/tests/test_timeseries_legacy.py

@@ -12,7 +12,6 @@
 
 from pandas import DatetimeIndex, Int64Index, to_datetime, NaT
 
-from pandas.core.daterange import DateRange
 import pandas.core.datetools as datetools
 import pandas.tseries.offsets as offsets
 from pandas.tseries.index import bdate_range, date_range