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11 changes: 0 additions & 11 deletions pandas/core/indexes/datetimelike.py
Original file line number Diff line number Diff line change
Expand Up @@ -110,17 +110,6 @@ class DatetimeIndexOpsMixin(ExtensionIndex, ExtensionOpsMixin):
def is_all_dates(self) -> bool:
return True

def unique(self, level=None):
if level is not None:
self._validate_index_level(level)

result = self._data.unique()

# Note: if `self` is already unique, then self.unique() should share
# a `freq` with self. If not already unique, then self.freq must be
# None, so again sharing freq is correct.
return self._shallow_copy(result._data)

@classmethod
def _create_comparison_method(cls, op):
"""
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16 changes: 16 additions & 0 deletions pandas/core/indexes/extension.py
Original file line number Diff line number Diff line change
Expand Up @@ -176,3 +176,19 @@ def take(self, indices, axis=0, allow_fill=True, fill_value=None, **kwargs):
na_value=self._na_value,
)
return type(self)(taken, name=self.name)

def unique(self, level=None):
if level is not None:
self._validate_index_level(level)

result = self._data.unique()
return self._shallow_copy(result)

def _get_unique_index(self, dropna=False):
if self.is_unique and not dropna:
return self

result = self._data.unique()
if dropna and self.hasnans:
result = result[~result.isna()]
return self._shallow_copy(result)
9 changes: 0 additions & 9 deletions pandas/core/indexes/period.py
Original file line number Diff line number Diff line change
Expand Up @@ -583,15 +583,6 @@ def get_indexer_non_unique(self, target):
indexer, missing = self._int64index.get_indexer_non_unique(target)
return ensure_platform_int(indexer), missing

def _get_unique_index(self, dropna=False):
if self.is_unique and not dropna:
return self

result = self._data.unique()
if dropna and self.hasnans:
result = result[~result.isna()]
return self._shallow_copy(result)

def get_loc(self, key, method=None, tolerance=None):
"""
Get integer location for requested label
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