Inzynierka_Gwiazdy/machine_learning/Lib/site-packages/pandas/_libs/tslib.pyi

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2023-09-20 19:46:58 +02:00
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 = ...,
) -> 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
) -> npt.NDArray[np.int64]: ...