Return an ndarray of ``datetime.datetime`` objects. Returns ------- numpy.ndarray An ndarray of ``datetime.datetime`` objects. See Also -------- DatetimeIndex.to_julian_date : Converts Datetime Array to float64 ndarray
(self)
| 1128 | # Conversion Methods - Vectorized analogues of Timestamp methods |
| 1129 | |
| 1130 | def to_pydatetime(self) -> npt.NDArray[np.object_]: |
| 1131 | """ |
| 1132 | Return an ndarray of ``datetime.datetime`` objects. |
| 1133 | |
| 1134 | Returns |
| 1135 | ------- |
| 1136 | numpy.ndarray |
| 1137 | An ndarray of ``datetime.datetime`` objects. |
| 1138 | |
| 1139 | See Also |
| 1140 | -------- |
| 1141 | DatetimeIndex.to_julian_date : Converts Datetime Array to float64 ndarray |
| 1142 | of Julian Dates. |
| 1143 | |
| 1144 | Examples |
| 1145 | -------- |
| 1146 | >>> idx = pd.date_range("2018-02-27", periods=3) |
| 1147 | >>> idx.to_pydatetime() |
| 1148 | array([datetime.datetime(2018, 2, 27, 0, 0), |
| 1149 | datetime.datetime(2018, 2, 28, 0, 0), |
| 1150 | datetime.datetime(2018, 3, 1, 0, 0)], dtype=object) |
| 1151 | """ |
| 1152 | return ints_to_pydatetime(self.asi8, tz=self.tz, reso=self._creso) |
| 1153 | |
| 1154 | def normalize(self) -> Self: |
| 1155 | """ |
no outgoing calls