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timestamps.pyi
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from datetime import (
date as _date,
datetime,
time as _time,
timedelta,
tzinfo as _tzinfo,
)
from time import struct_time
from typing import (
ClassVar,
TypeVar,
overload,
)
import numpy as np
from pandas._libs.tslibs import (
BaseOffset,
Period,
Tick,
Timedelta,
)
_DatetimeT = TypeVar("_DatetimeT", bound=datetime)
def integer_op_not_supported(obj: object) -> TypeError: ...
class Timestamp(datetime):
min: ClassVar[Timestamp]
max: ClassVar[Timestamp]
resolution: ClassVar[Timedelta]
value: int # np.int64
def __new__(
cls: type[_DatetimeT],
ts_input: int
| np.integer
| float
| str
| _date
| datetime
| np.datetime64 = ...,
freq: int | None | str | BaseOffset = ...,
tz: str | _tzinfo | None | int = ...,
unit: str | int | None = ...,
year: int | None = ...,
month: int | None = ...,
day: int | None = ...,
hour: int | None = ...,
minute: int | None = ...,
second: int | None = ...,
microsecond: int | None = ...,
nanosecond: int | None = ...,
tzinfo: _tzinfo | None = ...,
*,
fold: int | None = ...,
) -> _DatetimeT: ...
# GH 46171
# While Timestamp can return pd.NaT, having the constructor return
# a Union with NaTType makes things awkward for users of pandas
def _set_freq(self, freq: BaseOffset | None) -> None: ...
@classmethod
def _from_value_and_reso(
cls, value: int, reso: int, tz: _tzinfo | None
) -> Timestamp: ...
@property
def year(self) -> int: ...
@property
def month(self) -> int: ...
@property
def day(self) -> int: ...
@property
def hour(self) -> int: ...
@property
def minute(self) -> int: ...
@property
def second(self) -> int: ...
@property
def microsecond(self) -> int: ...
@property
def tzinfo(self) -> _tzinfo | None: ...
@property
def tz(self) -> _tzinfo | None: ...
@property
def fold(self) -> int: ...
@classmethod
def fromtimestamp(
cls: type[_DatetimeT], t: float, tz: _tzinfo | None = ...
) -> _DatetimeT: ...
@classmethod
def utcfromtimestamp(cls: type[_DatetimeT], t: float) -> _DatetimeT: ...
@classmethod
def today(cls: type[_DatetimeT], tz: _tzinfo | str | None = ...) -> _DatetimeT: ...
@classmethod
def fromordinal(
cls: type[_DatetimeT],
ordinal: int,
freq: str | BaseOffset | None = ...,
tz: _tzinfo | str | None = ...,
) -> _DatetimeT: ...
@classmethod
def now(cls: type[_DatetimeT], tz: _tzinfo | str | None = ...) -> _DatetimeT: ...
@classmethod
def utcnow(cls: type[_DatetimeT]) -> _DatetimeT: ...
# error: Signature of "combine" incompatible with supertype "datetime"
@classmethod
def combine(cls, date: _date, time: _time) -> datetime: ... # type: ignore[override]
@classmethod
def fromisoformat(cls: type[_DatetimeT], date_string: str) -> _DatetimeT: ...
def strftime(self, format: str) -> str: ...
def __format__(self, fmt: str) -> str: ...
def toordinal(self) -> int: ...
def timetuple(self) -> struct_time: ...
def timestamp(self) -> float: ...
def utctimetuple(self) -> struct_time: ...
def date(self) -> _date: ...
def time(self) -> _time: ...
def timetz(self) -> _time: ...
def replace(
self: _DatetimeT,
year: int = ...,
month: int = ...,
day: int = ...,
hour: int = ...,
minute: int = ...,
second: int = ...,
microsecond: int = ...,
tzinfo: _tzinfo | None = ...,
fold: int = ...,
) -> _DatetimeT: ...
def astimezone(self: _DatetimeT, tz: _tzinfo | None = ...) -> _DatetimeT: ...
def ctime(self) -> str: ...
def isoformat(self, sep: str = ..., timespec: str = ...) -> str: ...
@classmethod
def strptime(cls, date_string: str, format: str) -> datetime: ...
def utcoffset(self) -> timedelta | None: ...
def tzname(self) -> str | None: ...
def dst(self) -> timedelta | None: ...
def __le__(self, other: datetime) -> bool: ... # type: ignore[override]
def __lt__(self, other: datetime) -> bool: ... # type: ignore[override]
def __ge__(self, other: datetime) -> bool: ... # type: ignore[override]
def __gt__(self, other: datetime) -> bool: ... # type: ignore[override]
# error: Signature of "__add__" incompatible with supertype "date"/"datetime"
@overload # type: ignore[override]
def __add__(self, other: np.ndarray) -> np.ndarray: ...
@overload
def __add__(
self: _DatetimeT, other: timedelta | np.timedelta64 | Tick
) -> _DatetimeT: ...
def __radd__(self: _DatetimeT, other: timedelta) -> _DatetimeT: ...
@overload # type: ignore[override]
def __sub__(self, other: datetime) -> Timedelta: ...
@overload
def __sub__(
self: _DatetimeT, other: timedelta | np.timedelta64 | Tick
) -> _DatetimeT: ...
def __hash__(self) -> int: ...
def weekday(self) -> int: ...
def isoweekday(self) -> int: ...
def isocalendar(self) -> tuple[int, int, int]: ...
@property
def is_leap_year(self) -> bool: ...
@property
def is_month_start(self) -> bool: ...
@property
def is_quarter_start(self) -> bool: ...
@property
def is_year_start(self) -> bool: ...
@property
def is_month_end(self) -> bool: ...
@property
def is_quarter_end(self) -> bool: ...
@property
def is_year_end(self) -> bool: ...
def to_pydatetime(self, warn: bool = ...) -> datetime: ...
def to_datetime64(self) -> np.datetime64: ...
def to_period(self, freq: BaseOffset | str | None = ...) -> Period: ...
def to_julian_date(self) -> np.float64: ...
@property
def asm8(self) -> np.datetime64: ...
def tz_convert(self: _DatetimeT, tz: _tzinfo | str | None) -> _DatetimeT: ...
# TODO: could return NaT?
def tz_localize(
self: _DatetimeT,
tz: _tzinfo | str | None,
ambiguous: str = ...,
nonexistent: str = ...,
) -> _DatetimeT: ...
def normalize(self: _DatetimeT) -> _DatetimeT: ...
# TODO: round/floor/ceil could return NaT?
def round(
self: _DatetimeT, freq: str, ambiguous: bool | str = ..., nonexistent: str = ...
) -> _DatetimeT: ...
def floor(
self: _DatetimeT, freq: str, ambiguous: bool | str = ..., nonexistent: str = ...
) -> _DatetimeT: ...
def ceil(
self: _DatetimeT, freq: str, ambiguous: bool | str = ..., nonexistent: str = ...
) -> _DatetimeT: ...
def day_name(self, locale: str | None = ...) -> str: ...
def month_name(self, locale: str | None = ...) -> str: ...
@property
def day_of_week(self) -> int: ...
@property
def dayofweek(self) -> int: ...
@property
def day_of_month(self) -> int: ...
@property
def day_of_year(self) -> int: ...
@property
def dayofyear(self) -> int: ...
@property
def quarter(self) -> int: ...
@property
def week(self) -> int: ...
def to_numpy(
self, dtype: np.dtype | None = ..., copy: bool = ...
) -> np.datetime64: ...
@property
def _date_repr(self) -> str: ...
@property
def days_in_month(self) -> int: ...
@property
def daysinmonth(self) -> int: ...