ai-content-maker/.venv/Lib/site-packages/pandas/_libs/tslibs/offsets.pyi

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2024-05-03 04:18:51 +03:00
from datetime import (
datetime,
timedelta,
)
from typing import (
TYPE_CHECKING,
Any,
Collection,
Literal,
TypeVar,
overload,
)
import numpy as np
from pandas._typing import npt
from .timedeltas import Timedelta
if TYPE_CHECKING:
from pandas.core.indexes.datetimes import DatetimeIndex
_BaseOffsetT = TypeVar("_BaseOffsetT", bound=BaseOffset)
_DatetimeT = TypeVar("_DatetimeT", bound=datetime)
_TimedeltaT = TypeVar("_TimedeltaT", bound=timedelta)
_relativedelta_kwds: set[str]
prefix_mapping: dict[str, type]
class ApplyTypeError(TypeError): ...
class BaseOffset:
n: int
def __init__(self, n: int = ..., normalize: bool = ...) -> None: ...
def __eq__(self, other) -> bool: ...
def __ne__(self, other) -> bool: ...
def __hash__(self) -> int: ...
@property
def kwds(self) -> dict: ...
@property
def base(self) -> BaseOffset: ...
@overload
def __add__(self, other: npt.NDArray[np.object_]) -> npt.NDArray[np.object_]: ...
@overload
def __add__(self: _BaseOffsetT, other: BaseOffset) -> _BaseOffsetT: ...
@overload
def __add__(self, other: _DatetimeT) -> _DatetimeT: ...
@overload
def __add__(self, other: _TimedeltaT) -> _TimedeltaT: ...
@overload
def __radd__(self, other: npt.NDArray[np.object_]) -> npt.NDArray[np.object_]: ...
@overload
def __radd__(self: _BaseOffsetT, other: BaseOffset) -> _BaseOffsetT: ...
@overload
def __radd__(self, other: _DatetimeT) -> _DatetimeT: ...
@overload
def __radd__(self, other: _TimedeltaT) -> _TimedeltaT: ...
def __sub__(self: _BaseOffsetT, other: BaseOffset) -> _BaseOffsetT: ...
@overload
def __rsub__(self, other: npt.NDArray[np.object_]) -> npt.NDArray[np.object_]: ...
@overload
def __rsub__(self: _BaseOffsetT, other: BaseOffset) -> _BaseOffsetT: ...
@overload
def __rsub__(self, other: _DatetimeT) -> _DatetimeT: ...
@overload
def __rsub__(self, other: _TimedeltaT) -> _TimedeltaT: ...
def __call__(self, other): ...
@overload
def __mul__(self, other: np.ndarray) -> np.ndarray: ...
@overload
def __mul__(self: _BaseOffsetT, other: int) -> _BaseOffsetT: ...
@overload
def __rmul__(self, other: np.ndarray) -> np.ndarray: ...
@overload
def __rmul__(self: _BaseOffsetT, other: int) -> _BaseOffsetT: ...
def __neg__(self: _BaseOffsetT) -> _BaseOffsetT: ...
def copy(self: _BaseOffsetT) -> _BaseOffsetT: ...
@property
def name(self) -> str: ...
@property
def rule_code(self) -> str: ...
@property
def freqstr(self) -> str: ...
def apply_index(self, dtindex: DatetimeIndex) -> DatetimeIndex: ...
def _apply_array(self, dtarr) -> None: ...
def rollback(self, dt: datetime) -> datetime: ...
def rollforward(self, dt: datetime) -> datetime: ...
def is_on_offset(self, dt: datetime) -> bool: ...
def __setstate__(self, state) -> None: ...
def __getstate__(self): ...
@property
def nanos(self) -> int: ...
def onOffset(self, dt: datetime) -> bool: ...
def isAnchored(self) -> bool: ...
def is_anchored(self) -> bool: ...
def _get_offset(name: str) -> BaseOffset: ...
class SingleConstructorOffset(BaseOffset):
@classmethod
def _from_name(cls, suffix: None = ...): ...
def __reduce__(self): ...
@overload
def to_offset(freq: None) -> None: ...
@overload
def to_offset(freq: _BaseOffsetT) -> _BaseOffsetT: ...
@overload
def to_offset(freq: timedelta | str) -> BaseOffset: ...
class Tick(SingleConstructorOffset):
_reso: int
_prefix: str
_td64_unit: str
def __init__(self, n: int = ..., normalize: bool = ...) -> None: ...
@property
def delta(self) -> Timedelta: ...
@property
def nanos(self) -> int: ...
def delta_to_tick(delta: timedelta) -> Tick: ...
class Day(Tick): ...
class Hour(Tick): ...
class Minute(Tick): ...
class Second(Tick): ...
class Milli(Tick): ...
class Micro(Tick): ...
class Nano(Tick): ...
class RelativeDeltaOffset(BaseOffset):
def __init__(self, n: int = ..., normalize: bool = ..., **kwds: Any) -> None: ...
class BusinessMixin(SingleConstructorOffset):
def __init__(
self, n: int = ..., normalize: bool = ..., offset: timedelta = ...
) -> None: ...
class BusinessDay(BusinessMixin): ...
class BusinessHour(BusinessMixin):
def __init__(
self,
n: int = ...,
normalize: bool = ...,
start: str | Collection[str] = ...,
end: str | Collection[str] = ...,
offset: timedelta = ...,
) -> None: ...
class WeekOfMonthMixin(SingleConstructorOffset):
def __init__(
self, n: int = ..., normalize: bool = ..., weekday: int = ...
) -> None: ...
class YearOffset(SingleConstructorOffset):
def __init__(
self, n: int = ..., normalize: bool = ..., month: int | None = ...
) -> None: ...
class BYearEnd(YearOffset): ...
class BYearBegin(YearOffset): ...
class YearEnd(YearOffset): ...
class YearBegin(YearOffset): ...
class QuarterOffset(SingleConstructorOffset):
def __init__(
self, n: int = ..., normalize: bool = ..., startingMonth: int | None = ...
) -> None: ...
class BQuarterEnd(QuarterOffset): ...
class BQuarterBegin(QuarterOffset): ...
class QuarterEnd(QuarterOffset): ...
class QuarterBegin(QuarterOffset): ...
class MonthOffset(SingleConstructorOffset): ...
class MonthEnd(MonthOffset): ...
class MonthBegin(MonthOffset): ...
class BusinessMonthEnd(MonthOffset): ...
class BusinessMonthBegin(MonthOffset): ...
class SemiMonthOffset(SingleConstructorOffset):
def __init__(
self, n: int = ..., normalize: bool = ..., day_of_month: int | None = ...
) -> None: ...
class SemiMonthEnd(SemiMonthOffset): ...
class SemiMonthBegin(SemiMonthOffset): ...
class Week(SingleConstructorOffset):
def __init__(
self, n: int = ..., normalize: bool = ..., weekday: int | None = ...
) -> None: ...
class WeekOfMonth(WeekOfMonthMixin):
def __init__(
self, n: int = ..., normalize: bool = ..., week: int = ..., weekday: int = ...
) -> None: ...
class LastWeekOfMonth(WeekOfMonthMixin): ...
class FY5253Mixin(SingleConstructorOffset):
def __init__(
self,
n: int = ...,
normalize: bool = ...,
weekday: int = ...,
startingMonth: int = ...,
variation: Literal["nearest", "last"] = ...,
) -> None: ...
class FY5253(FY5253Mixin): ...
class FY5253Quarter(FY5253Mixin):
def __init__(
self,
n: int = ...,
normalize: bool = ...,
weekday: int = ...,
startingMonth: int = ...,
qtr_with_extra_week: int = ...,
variation: Literal["nearest", "last"] = ...,
) -> None: ...
class Easter(SingleConstructorOffset): ...
class _CustomBusinessMonth(BusinessMixin):
def __init__(
self,
n: int = ...,
normalize: bool = ...,
weekmask: str = ...,
holidays: list | None = ...,
calendar: np.busdaycalendar | None = ...,
offset: timedelta = ...,
) -> None: ...
class CustomBusinessDay(BusinessDay):
def __init__(
self,
n: int = ...,
normalize: bool = ...,
weekmask: str = ...,
holidays: list | None = ...,
calendar: np.busdaycalendar | None = ...,
offset: timedelta = ...,
) -> None: ...
class CustomBusinessHour(BusinessHour):
def __init__(
self,
n: int = ...,
normalize: bool = ...,
weekmask: str = ...,
holidays: list | None = ...,
calendar: np.busdaycalendar | None = ...,
start: str = ...,
end: str = ...,
offset: timedelta = ...,
) -> None: ...
class CustomBusinessMonthEnd(_CustomBusinessMonth): ...
class CustomBusinessMonthBegin(_CustomBusinessMonth): ...
class DateOffset(RelativeDeltaOffset): ...
BDay = BusinessDay
BMonthEnd = BusinessMonthEnd
BMonthBegin = BusinessMonthBegin
CBMonthEnd = CustomBusinessMonthEnd
CBMonthBegin = CustomBusinessMonthBegin
CDay = CustomBusinessDay
def roll_qtrday(
other: datetime, n: int, month: int, day_opt: str, modby: int
) -> int: ...
INVALID_FREQ_ERR_MSG: Literal["Invalid frequency: {0}"]
def shift_months(
dtindex: npt.NDArray[np.int64], months: int, day_opt: str | None = ...
) -> npt.NDArray[np.int64]: ...
_offset_map: dict[str, BaseOffset]