cmrit
/
cmrithackathon-master
/.venv
/lib
/python3.11
/site-packages
/pandas
/_libs
/tslibs
/parsing.pyi
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: ... | |