def _convert_tolerance(self, tolerance, target):
tolerance = DatetimeIndexOpsMixin._convert_tolerance(self, tolerance,
target)
if target.size != tolerance.size and tolerance.size > 1:
raise ValueError('list-like tolerance size must match '
'target index size')
return self._maybe_convert_timedelta(tolerance)
def _convert_tolerance(self, tolerance, target):
tolerance = DatetimeIndexOpsMixin._convert_tolerance(
self, tolerance, target)
if target.size != tolerance.size and tolerance.size > 1:
raise ValueError('list-like tolerance size must match '
'target index size')
return self._maybe_convert_timedelta(tolerance)
def _addsub_offset_array(self, other, op):
# Add or subtract Array-like of DateOffset objects
try:
# TimedeltaIndex can only operate with a subset of DateOffset
# subclasses. Incompatible classes will raise AttributeError,
# which we re-raise as TypeError
return DatetimeIndexOpsMixin._addsub_offset_array(self, other, op)
except AttributeError:
raise TypeError("Cannot add/subtract non-tick DateOffset to {cls}"
.format(cls=type(self).__name__))
def astype(self, dtype, copy=True):
dtype = pandas_dtype(dtype)
if is_timedelta64_dtype(dtype) and not is_timedelta64_ns_dtype(dtype):
# Have to repeat the check for 'timedelta64' (not ns) dtype
# so that we can return a numeric index, since pandas will return
# a TimedeltaIndex when dtype='timedelta'
result = self._data.astype(dtype, copy=copy)
if self.hasnans:
return Index(result, name=self.name)
return Index(result.astype("i8"), name=self.name)
return DatetimeIndexOpsMixin.astype(self, dtype, copy=copy)
def astype(self, dtype, copy=True):
dtype = pandas_dtype(dtype)
if is_timedelta64_dtype(dtype) and not is_timedelta64_ns_dtype(dtype):
# Have to repeat the check for 'timedelta64' (not ns) dtype
# so that we can return a numeric index, since pandas will return
# a TimedeltaIndex when dtype='timedelta'
result = self._data.astype(dtype, copy=copy)
if self.hasnans:
return Index(result, name=self.name)
return Index(result.astype('i8'), name=self.name)
return DatetimeIndexOpsMixin.astype(self, dtype, copy=copy)
def insert(self, loc: int, item):
if not isinstance(item, Period) or self.freq != item.freq:
return self.astype(object).insert(loc, item)
return DatetimeIndexOpsMixin.insert(self, loc, item)
def _join_i8_wrapper(joinf, **kwargs):
return DatetimeIndexOpsMixin._join_i8_wrapper(
joinf, dtype='m8[ns]', **kwargs)
def _join_i8_wrapper(joinf, **kwargs):
return DatetimeIndexOpsMixin._join_i8_wrapper(joinf,
dtype='m8[ns]',
**kwargs)
def _convert_tolerance(self, tolerance):
tolerance = DatetimeIndexOpsMixin._convert_tolerance(self, tolerance)
return self._maybe_convert_timedelta(tolerance)
def _convert_tolerance(self, tolerance):
tolerance = DatetimeIndexOpsMixin._convert_tolerance(self, tolerance)
return self._maybe_convert_timedelta(tolerance)
