def _format_native_types( self, na_rep="NaT", date_format=None, **kwargs ) -> np.ndarray: from pandas.io.formats.format import get_format_timedelta64 formatter = get_format_timedelta64(self._ndarray, na_rep) return np.array([formatter(x) for x in self._ndarray])
def _format_native_types( self, *, na_rep="NaT", date_format=None, **kwargs ) -> npt.NDArray[np.object_]: from pandas.io.formats.format import get_format_timedelta64 formatter = get_format_timedelta64(self._ndarray, na_rep) # equiv: np.array([formatter(x) for x in self._ndarray]) # but independent of dimension return np.frompyfunc(formatter, 1, 1)(self._ndarray)
def _formatter(self, boxed=False): from pandas.io.formats.format import get_format_timedelta64 return get_format_timedelta64(self, box=True)
def _format_native_types(self, na_rep="NaT", date_format=None, **kwargs): from pandas.io.formats.format import get_format_timedelta64 formatter = get_format_timedelta64(self._data, na_rep) return np.array([formatter(x) for x in self._data.ravel()]).reshape(self.shape)
def _formatter_func(self): from pandas.io.formats.format import get_format_timedelta64 return get_format_timedelta64(self, box=True)