TYP: offsets.pyi

pandas/_libs/tslibs/ccalendar.pyi

@@ -8,5 +8,7 @@ def get_firstbday(year: int, month: int) -> int: ...
 def get_lastbday(year: int, month: int) -> int: ...
 def get_day_of_year(year: int, month: int, day: int) -> int: ...
 def get_iso_calendar(year: int, month: int, day: int) -> tuple[int, int, int]: ...
+def is_leapyear(year: int) -> bool: ...
 def get_week_of_year(year: int, month: int, day: int) -> int: ...
 def get_days_in_month(year: int, month: int) -> int: ...
+def dayofweek(y: int, m: int, d: int) -> int: ...

pandas/_libs/tslibs/offsets.pyi

@@ -0,0 +1,256 @@
+from __future__ import annotations
+
+from datetime import (
+    datetime,
+    timedelta,
+)
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Collection,
+    Literal,
+    Tuple,
+    TypeVar,
+    Union,
+    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: ...
+    def __repr__(self) -> str: ...
+    @property
+    def name(self) -> str: ...
+    @property
+    def rule_code(self) -> str: ...
+    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=...): ...
+    def __reduce__(self): ...
+
+@overload
+def to_offset(freq: None) -> None: ...
+@overload
+def to_offset(freq: timedelta | BaseOffset | str) -> BaseOffset: ...
+
+class Tick(SingleConstructorOffset):
+    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 = ...
+    ): ...
+
+class BusinessDay(BusinessMixin): ...
+
+class BusinessHour(BusinessMixin):
+    def __init__(
+        self,
+        n: int = ...,
+        normalize: bool = ...,
+        start: str | Collection[str] = ...,
+        end: str | Collection[str] = ...,
+        offset: timedelta = ...,
+    ): ...
+
+class WeekOfMonthMixin(SingleConstructorOffset): ...
+
+class YearOffset(SingleConstructorOffset):
+    def __init__(
+        self, n: int = ..., normalize: bool = ..., month: int | 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): ...
+class LastWeekOfMonth(WeekOfMonthMixin): ...
+
+class FY5253Mixin(SingleConstructorOffset):
+    def __init__(
+        self,
+        n: int = ...,
+        normalize: bool = ...,
+        weekday: int = ...,
+        startingMonth: int = ...,
+        variation: str = ...,
+    ) -> None: ...
+
+class FY5253(FY5253Mixin): ...
+class FY5253Quarter(FY5253Mixin): ...
+class Easter(SingleConstructorOffset): ...
+
+class _CustomBusinessMonth(BusinessMixin):
+    def __init__(
+        self,
+        n: int = ...,
+        normalize: bool = ...,
+        offset: timedelta = ...,
+        holidays: None | list = ...,
+    ): ...
+
+class CustomBusinessDay(BusinessDay):
+    def __init__(
+        self,
+        n: int = ...,
+        normalize: bool = ...,
+        offset: timedelta = ...,
+        weekmask: str = ...,
+    ): ...
+
+class CustomBusinessHour(BusinessHour):
+    def __init__(
+        self,
+        n: int = ...,
+        normalize: bool = ...,
+        start: str = ...,
+        end: str = ...,
+        offset: timedelta = ...,
+        holidays: None | list = ...,
+    ): ...
+
+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]

pandas/_libs/tslibs/period.pyi

@@ -1,3 +1,4 @@
+from datetime import timedelta
 from typing import Literal
 
 import numpy as np
@@ -33,7 +34,7 @@ def get_period_field_arr(
 ) -> npt.NDArray[np.int64]: ...
 def from_ordinals(
     values: npt.NDArray[np.int64],  # const int64_t[:]
-    freq: Frequency,
+    freq: timedelta | BaseOffset | str | None,
 ) -> npt.NDArray[np.int64]: ...
 def extract_ordinals(
     values: npt.NDArray[np.object_],
@@ -59,7 +60,7 @@ class Period:
     def __new__(  # type: ignore[misc]
         cls,
         value=...,
-        freq: int | str | None = ...,
+        freq: int | str | BaseOffset | None = ...,
         ordinal: int | None = ...,
         year: int | None = ...,
         month: int | None = ...,
@@ -82,7 +83,7 @@ class Period:
         how: str = ...,
         tz: Timezone | None = ...,
     ) -> Timestamp: ...
-    def asfreq(self, freq: str, how: str = ...) -> Period: ...
+    def asfreq(self, freq: str | BaseOffset, how: str = ...) -> Period: ...
     @property
     def freqstr(self) -> str: ...
     @property

pandas/_libs/tslibs/period.pyx

@@ -1795,7 +1795,7 @@ cdef class _Period(PeriodMixin):
 
         Parameters
         ----------
-        freq : str
+        freq : str, BaseOffset
             The desired frequency.
         how : {'E', 'S', 'end', 'start'}, default 'end'
             Start or end of the timespan.

pandas/_libs/tslibs/timedeltas.pyi

@@ -67,10 +67,21 @@ class Timedelta(timedelta):
     def __abs__(self) -> timedelta: ...
     def __mul__(self, other: float) -> timedelta: ...
     def __rmul__(self, other: float) -> timedelta: ...
-    @overload
+    # error: Signature of "__floordiv__" incompatible with supertype "timedelta"
+    @overload  # type: ignore[override]
     def __floordiv__(self, other: timedelta) -> int: ...
     @overload
-    def __floordiv__(self, other: int) -> timedelta: ...
+    def __floordiv__(self, other: int | float) -> timedelta: ...
+    @overload
+    def __floordiv__(
+        self, other: np.ndarray
+    ) -> npt.NDArray[np.timedelta64] | Timedelta: ...
+    @overload
+    def __rfloordiv__(self, other: timedelta | str) -> int: ...
+    @overload
+    def __rfloordiv__(self, other: None | NaTType) -> NaTType: ...
+    @overload
+    def __rfloordiv__(self, other: np.ndarray) -> npt.NDArray[np.timedelta64]: ...
     @overload
     def __truediv__(self, other: timedelta) -> float: ...
     @overload

pandas/_libs/tslibs/timestamps.pyi

@@ -18,6 +18,7 @@ from pandas._libs.tslibs import (
     BaseOffset,
     NaTType,
     Period,
+    Tick,
     Timedelta,
 )
 
@@ -139,14 +140,14 @@ class Timestamp(datetime):
     @overload  # type: ignore[override]
     def __add__(self, other: np.ndarray) -> np.ndarray: ...
     @overload
-    # TODO: other can also be Tick (but it cannot be resolved)
-    def __add__(self: _DatetimeT, other: timedelta | np.timedelta64) -> _DatetimeT: ...
+    def __add__(
+        self: _DatetimeT, other: timedelta | np.timedelta64 | Tick
+    ) -> _DatetimeT: ...
     def __radd__(self: _DatetimeT, other: timedelta) -> _DatetimeT: ...
     @overload  # type: ignore
     def __sub__(self, other: datetime) -> timedelta: ...
     @overload
-    # TODO: other can also be Tick (but it cannot be resolved)
-    def __sub__(self, other: timedelta | np.timedelta64) -> datetime: ...
+    def __sub__(self, other: timedelta | np.timedelta64 | Tick) -> datetime: ...
     def __hash__(self) -> int: ...
     def weekday(self) -> int: ...
     def isoweekday(self) -> int: ...

pandas/core/arrays/datetimelike.py

@@ -130,6 +130,7 @@
 
     from pandas.core.arrays import (
         DatetimeArray,
+        PeriodArray,
         TimedeltaArray,
     )
 
@@ -1325,7 +1326,7 @@ def __add__(self, other):
         elif is_integer_dtype(other_dtype):
             if not is_period_dtype(self.dtype):
                 raise integer_op_not_supported(self)
-            result = self._addsub_int_array(other, operator.add)
+            result = cast("PeriodArray", self)._addsub_int_array(other, operator.add)
         else:
             # Includes Categorical, other ExtensionArrays
             # For PeriodDtype, if self is a TimedeltaArray and other is a
@@ -1385,7 +1386,7 @@ def __sub__(self, other):
         elif is_integer_dtype(other_dtype):
             if not is_period_dtype(self.dtype):
                 raise integer_op_not_supported(self)
-            result = self._addsub_int_array(other, operator.sub)
+            result = cast("PeriodArray", self)._addsub_int_array(other, operator.sub)
         else:
             # Includes ExtensionArrays, float_dtype
             return NotImplemented

pandas/core/arrays/period.py

@@ -605,7 +605,8 @@ def asfreq(self, freq=None, how: str = "E") -> PeriodArray:
 
         freq = Period._maybe_convert_freq(freq)
 
-        base1 = self.freq._period_dtype_code
+        # error: "BaseOffset" has no attribute "_period_dtype_code"
+        base1 = self.freq._period_dtype_code  # type: ignore[attr-defined]
         base2 = freq._period_dtype_code
 
         asi8 = self.asi8