def searchsorted(self, value, side='left', sorter=None): if isinstance(value, (np.ndarray, Index)): value = np.array(value, dtype=_TD_DTYPE, copy=False) else: value = _to_m8(value) return self.values.searchsorted(value, side=side, sorter=sorter)
def searchsorted(self, value, side='left', sorter=None): if isinstance(value, (np.ndarray, Index)): value = np.array(value, dtype=_TD_DTYPE, copy=False) else: value = _to_m8(value) return self.values.searchsorted(value, side=side, sorter=sorter)
def insert(self, loc, item): """ Make new Index inserting new item at location Parameters ---------- loc : int item : object if not either a Python datetime or a numpy integer-like, returned Index dtype will be object rather than datetime. Returns ------- new_index : Index """ # try to convert if possible if _is_convertible_to_td(item): try: item = Timedelta(item) except Exception: pass elif is_scalar(item) and isna(item): # GH 18295 item = self._na_value freq = None if isinstance(item, Timedelta) or (is_scalar(item) and isna(item)): # check freq can be preserved on edge cases if self.freq is not None: if ((loc == 0 or loc == -len(self)) and item + self.freq == self[0]): freq = self.freq elif (loc == len(self)) and item - self.freq == self[-1]: freq = self.freq item = _to_m8(item) try: new_tds = np.concatenate( (self[:loc].asi8, [item.view(np.int64)], self[loc:].asi8)) return self._shallow_copy(new_tds, freq=freq) except (AttributeError, TypeError): # fall back to object index if isinstance(item, compat.string_types): return self.astype(object).insert(loc, item) raise TypeError( "cannot insert TimedeltaIndex with incompatible label")
def insert(self, loc, item): """ Make new Index inserting new item at location Parameters ---------- loc : int item : object if not either a Python datetime or a numpy integer-like, returned Index dtype will be object rather than datetime. Returns ------- new_index : Index """ # try to convert if possible if _is_convertible_to_td(item): try: item = Timedelta(item) except Exception: pass elif is_scalar(item) and isna(item): # GH 18295 item = self._na_value freq = None if isinstance(item, Timedelta) or (is_scalar(item) and isna(item)): # check freq can be preserved on edge cases if self.freq is not None: if ((loc == 0 or loc == -len(self)) and item + self.freq == self[0]): freq = self.freq elif (loc == len(self)) and item - self.freq == self[-1]: freq = self.freq item = _to_m8(item) try: new_tds = np.concatenate((self[:loc].asi8, [item.view(np.int64)], self[loc:].asi8)) return self._shallow_copy(new_tds, freq=freq) except (AttributeError, TypeError): # fall back to object index if isinstance(item, compat.string_types): return self.astype(object).insert(loc, item) raise TypeError( "cannot insert TimedeltaIndex with incompatible label")