def get_indexer(self, target, method=None, limit=None, tolerance=None):
target = _ensure_index(target)
if hasattr(target, 'freq') and target.freq != self.freq:
msg = _DIFFERENT_FREQ_INDEX.format(self.freqstr, target.freqstr)
raise IncompatibleFrequency(msg)
if isinstance(target, PeriodIndex):
target = target.asi8
if tolerance is not None:
tolerance = self._convert_tolerance(tolerance, target)
return Index.get_indexer(self._int64index, target, method, limit,
tolerance)
def get_indexer(self, target, method=None, limit=None, tolerance=None):
target = ensure_index(target)
if hasattr(target, 'freq') and target.freq != self.freq:
msg = DIFFERENT_FREQ_INDEX.format(self.freqstr, target.freqstr)
raise IncompatibleFrequency(msg)
if isinstance(target, PeriodIndex):
target = target.asi8
if tolerance is not None:
tolerance = self._convert_tolerance(tolerance, target)
return Index.get_indexer(self._int64index, target, method,
limit, tolerance)
def get_indexer(self, target, method=None, limit=None, tolerance=None):
target = ensure_index(target)
if isinstance(target, PeriodIndex):
if target.freq != self.freq:
# No matches
no_matches = -1 * np.ones(self.shape, dtype=np.intp)
return no_matches
target = target.asi8
self_index = self._int64index
else:
self_index = self
if tolerance is not None:
tolerance = self._convert_tolerance(tolerance, target)
return Index.get_indexer(self_index, target, method, limit, tolerance)
def get_indexer(self, target, method=None, limit=None, tolerance=None):
target = ensure_index(target)
if hasattr(target, "freq") and target.freq != self.freq:
msg = DIFFERENT_FREQ.format(
cls=type(self).__name__,
own_freq=self.freqstr,
other_freq=target.freqstr,
)
raise IncompatibleFrequency(msg)
if isinstance(target, PeriodIndex):
target = target.asi8
if tolerance is not None:
tolerance = self._convert_tolerance(tolerance, target)
return Index.get_indexer(self._int64index, target, method, limit, tolerance)
def get_indexer(self, target, method=None, limit=None, tolerance=None):
target = ensure_index(target)
if not self._should_compare(target):
return self._get_indexer_non_comparable(target, method, unique=True)
if isinstance(target, PeriodIndex):
target = target._get_engine_target() # i.e. target.asi8
self_index = self._int64index
else:
self_index = self
if tolerance is not None:
tolerance = self._convert_tolerance(tolerance, target)
if self_index is not self:
# convert tolerance to i8
tolerance = self._maybe_convert_timedelta(tolerance)
return Index.get_indexer(self_index, target, method, limit, tolerance)
def get_indexer(self, target, method=None, limit=None, tolerance=None):
target = ensure_index(target)
if isinstance(target, PeriodIndex):
if not self._is_comparable_dtype(target.dtype):
# i.e. target.freq != self.freq
# No matches
no_matches = -1 * np.ones(self.shape, dtype=np.intp)
return no_matches
target = target._get_engine_target() # i.e. target.asi8
self_index = self._int64index
else:
self_index = self
if tolerance is not None:
tolerance = self._convert_tolerance(tolerance, target)
if self_index is not self:
# convert tolerance to i8
tolerance = self._maybe_convert_timedelta(tolerance)
return Index.get_indexer(self_index, target, method, limit, tolerance)
