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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]: ...
|
