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- from datetime import datetime
- import numpy as np
- from pandas._typing import npt
- class DateParseError(ValueError): ...
- def py_parse_datetime_string(
- date_string: str,
- dayfirst: bool = ...,
- yearfirst: bool = ...,
- ) -> datetime: ...
- def parse_datetime_string_with_reso(
- date_string: str,
- freq: str | None = ...,
- dayfirst: bool | None = ...,
- yearfirst: bool | None = ...,
- ) -> tuple[datetime, str]: ...
- def _does_string_look_like_datetime(py_string: str) -> bool: ...
- def quarter_to_myear(year: int, quarter: int, freq: str) -> tuple[int, int]: ...
- def try_parse_dates(
- values: npt.NDArray[np.object_], # object[:]
- parser,
- ) -> npt.NDArray[np.object_]: ...
- def guess_datetime_format(
- dt_str: str,
- dayfirst: bool | None = ...,
- ) -> str | None: ...
- def concat_date_cols(
- date_cols: tuple,
- ) -> npt.NDArray[np.object_]: ...
- def get_rule_month(source: str) -> str: ...
|
