38 lines
969 B
Python
38 lines
969 B
Python
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]: ...
|