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| from datetime import tzinfo
|
| import numpy as np
|
| from pandas._typing import npt
|
| def format_array_from_datetime(
| values: npt.NDArray[np.int64],
| tz: tzinfo | None = ...,
| format: str | None = ...,
| na_rep: str | float = ...,
| reso: int = ..., # NPY_DATETIMEUNIT
| ) -> npt.NDArray[np.object_]: ...
| def array_with_unit_to_datetime(
| values: npt.NDArray[np.object_],
| unit: str,
| errors: str = ...,
| ) -> tuple[np.ndarray, tzinfo | None]: ...
| def first_non_null(values: np.ndarray) -> int: ...
| def array_to_datetime(
| values: npt.NDArray[np.object_],
| errors: str = ...,
| dayfirst: bool = ...,
| yearfirst: bool = ...,
| utc: bool = ...,
| creso: int = ...,
| ) -> tuple[np.ndarray, tzinfo | None]: ...
|
| # returned ndarray may be object dtype or datetime64[ns]
|
| def array_to_datetime_with_tz(
| values: npt.NDArray[np.object_],
| tz: tzinfo,
| dayfirst: bool,
| yearfirst: bool,
| creso: int,
| ) -> npt.NDArray[np.int64]: ...
|
|
