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from datetime import timedelta |
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from typing import Literal |
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import numpy as np |
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from pandas._libs.tslibs.dtypes import PeriodDtypeBase |
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from pandas._libs.tslibs.nattype import NaTType |
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from pandas._libs.tslibs.offsets import BaseOffset |
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from pandas._libs.tslibs.timestamps import Timestamp |
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from pandas._typing import ( |
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Frequency, |
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npt, |
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) |
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INVALID_FREQ_ERR_MSG: str |
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DIFFERENT_FREQ: str |
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class IncompatibleFrequency(ValueError): ... |
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def periodarr_to_dt64arr( |
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periodarr: npt.NDArray[np.int64], |
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freq: int, |
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) -> npt.NDArray[np.int64]: ... |
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def period_asfreq_arr( |
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arr: npt.NDArray[np.int64], |
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freq1: int, |
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freq2: int, |
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end: bool, |
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) -> npt.NDArray[np.int64]: ... |
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def get_period_field_arr( |
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field: str, |
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arr: npt.NDArray[np.int64], |
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freq: int, |
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) -> npt.NDArray[np.int64]: ... |
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def from_ordinals( |
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values: npt.NDArray[np.int64], |
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freq: timedelta | BaseOffset | str, |
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) -> npt.NDArray[np.int64]: ... |
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def extract_ordinals( |
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values: npt.NDArray[np.object_], |
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freq: Frequency | int, |
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) -> npt.NDArray[np.int64]: ... |
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def extract_freq( |
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values: npt.NDArray[np.object_], |
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) -> BaseOffset: ... |
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def period_array_strftime( |
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values: npt.NDArray[np.int64], |
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dtype_code: int, |
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na_rep, |
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date_format: str | None, |
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) -> npt.NDArray[np.object_]: ... |
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def period_asfreq(ordinal: int, freq1: int, freq2: int, end: bool) -> int: ... |
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def period_ordinal( |
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y: int, m: int, d: int, h: int, min: int, s: int, us: int, ps: int, freq: int |
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) -> int: ... |
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def freq_to_dtype_code(freq: BaseOffset) -> int: ... |
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def validate_end_alias(how: str) -> Literal["E", "S"]: ... |
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class PeriodMixin: |
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@property |
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def end_time(self) -> Timestamp: ... |
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@property |
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def start_time(self) -> Timestamp: ... |
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def _require_matching_freq(self, other: BaseOffset, base: bool = ...) -> None: ... |
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class Period(PeriodMixin): |
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ordinal: int |
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freq: BaseOffset |
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_dtype: PeriodDtypeBase |
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def __new__( |
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cls, |
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value=..., |
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freq: int | str | BaseOffset | None = ..., |
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ordinal: int | None = ..., |
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year: int | None = ..., |
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month: int | None = ..., |
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quarter: int | None = ..., |
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day: int | None = ..., |
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hour: int | None = ..., |
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minute: int | None = ..., |
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second: int | None = ..., |
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) -> Period | NaTType: ... |
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@classmethod |
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def _maybe_convert_freq(cls, freq) -> BaseOffset: ... |
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@classmethod |
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def _from_ordinal(cls, ordinal: int, freq: BaseOffset) -> Period: ... |
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@classmethod |
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def now(cls, freq: Frequency) -> Period: ... |
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def strftime(self, fmt: str | None) -> str: ... |
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def to_timestamp( |
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self, |
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freq: str | BaseOffset | None = ..., |
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how: str = ..., |
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) -> Timestamp: ... |
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def asfreq(self, freq: str | BaseOffset, how: str = ...) -> Period: ... |
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@property |
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def freqstr(self) -> str: ... |
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@property |
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def is_leap_year(self) -> bool: ... |
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@property |
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def daysinmonth(self) -> int: ... |
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@property |
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def days_in_month(self) -> int: ... |
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@property |
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def qyear(self) -> int: ... |
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@property |
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def quarter(self) -> int: ... |
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@property |
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def day_of_year(self) -> int: ... |
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@property |
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def weekday(self) -> int: ... |
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@property |
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def day_of_week(self) -> int: ... |
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@property |
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def week(self) -> int: ... |
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@property |
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def weekofyear(self) -> int: ... |
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@property |
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def second(self) -> int: ... |
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@property |
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def minute(self) -> int: ... |
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@property |
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def hour(self) -> int: ... |
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@property |
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def day(self) -> int: ... |
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@property |
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def month(self) -> int: ... |
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@property |
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def year(self) -> int: ... |
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def __sub__(self, other) -> Period | BaseOffset: ... |
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def __add__(self, other) -> Period: ... |
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