File size: 969 Bytes
a2f9f48 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
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]: ...
|