10000 adding stub-file for dates module · matplotlib/matplotlib@b5c7c2b · GitHub
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bandpoojabandpooja
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adding stub-file for dates module
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‎lib/matplotlib/dates.pyi

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import datetime
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import numpy as np
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from typing import Any, Callable, Dict, List, Optional, Sequence, Union
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from .ticker import Formatter, Locator
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from .units import Axis, AxisInfo, ConversionInterface
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def _get_tzinfo(tz: Optional[Union[str, datetime.tzinfo]] = ...) -> datetime.tzinfo: ...
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def _reset_epoch_test_example() -> None: ...
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def set_epoch(epoch: str) -> None: ...
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def get_epoch() -> str: ...
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def _dt64_to_ordinalf(d: Union[np.datetime64, np.ndarray]) -> Union[float, np.ndarray]: ...
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def _from_ordinalf(x: float, tz: Optional[Union[str, datetime.tzinfo]] = ...) -> datetime.datetime: ...
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def datestr2num(d: Union[str, Sequence[str]], default: Optional[datetime.datetime] = ...) -> Union[float, np.ndarray]: ...
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def date2num(d: Union[datetime.datetime, np.datetime64, Sequence[Union[datetime.datetime, np.datetime64]]]) -> Union[float, np.ndarray]: ...
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def num2date(x: Union[float, Sequence[float]], tz: Optional[Union[str, datetime.tzinfo]] = ...) -> Union[datetime.datetime, list[datetime.datetime]]: ...
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def num2timedelta(x: Union[float, Sequence[float]]) -> Union[datetime.timedelta, list[datetime.timedelta]]: ...
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def drange(dstart: datetime.datetime, dend: datetime.datetime, delta: datetime.timedelta) -> np.ndarray: ...
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def _wrap_in_tex(text: str) -> str: ...
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class DateFormatter(Formatter):
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tz: Optional[Union[str, datetime.tzinfo]]
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fmt: str
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_usetex: Optional[bool]
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def __init__(self, fmt: str, tz: Optional[Union[str, datetime.tzinfo]] = None, *, usetex: Optional[bool] = None) -> None: ...
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def __call__(self, x: float, pos: int = 0) -> str: ...
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def set_tzinfo(self, tz: Optional[Union[str, datetime.tzinfo]]) -> None: ...
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class ConciseDateFormatter(Formatter):
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_locator: Locator
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_tz: Optional[Union[str, datetime.tzinfo]]
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formats: List[str]
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zero_formats: List[str]
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offset_formats: List[str]
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offset_string: str
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show_offset: bool
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_usetex: Optional[bool]
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def __init__(self, locator: Locator,
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tz: Optional[Union[str, datetime.tzinfo]] = None,
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formats: Optional[Sequence[str]] = None,
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offset_formats: Optional[Sequence[str]] = None,
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zero_formats: Optional[Sequence[str]] = None,
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show_offset: bool = True,
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*, usetex: Optional[bool] = None) -> None: ...
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def __call__(self, x: float, pos: Optional[int] = None) -> List[str]: ...
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def format_ticks(self, values: Sequence[float]) -> List[str]: ...
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def get_offset(self) -> str: ...
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def format_data_short(self, value: float) -> str: ...
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class AutoDateFormatter(Formatter):
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_locator: Locator
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_tz: Optional[Union[str, datetime.tzinfo]]
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defaultfmt: str
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_formatter: DateFormatter
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_usetex: Optional[bool]
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scaled: dict
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def __init__(self, locator: Locator,
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tz: Optional[Union[str, datetime.tzinfo]] = None,
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defaultfmt: str = '%Y-%m-%d',
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*, usetex: Optional[bool] = None) -> None: ...
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def _set_locator(self, locator: Locator) -> None: ...
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def __call__(self, x: float, pos: Optional[int] = None) -> str: ...
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class rrulewrapper:
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def __init__(self, freq: int, tzinfo: Optional[datetime.tzinfo] = None, **kwargs: Any) -> None: ...
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def set(self, **kwargs: Any) -> None: ...
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def _update_rrule(self, **kwargs: Any) -> None: ...
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def _attach_tzinfo(self, dt: datetime, tzinfo: datetime.tzinfo) -> datetime: ...
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def _aware_return_wrapper(self, f: Callable[..., Any], returns_list: bool = False) -> Callable[..., Any]: ...
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def __getattr__(self, name: str) -> Any: ...
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def __setstate__(self, state: dict) -> None: ...
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class DateLocator(Locator):
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hms0d: dict[str, int]
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def __init__(self, tz: Optional[Any] = None) -> None: ...
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def set_tzinfo(self, tz: Optional[Any]) -> None: ...
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def datalim_to_dt(self) -> tuple[datetime.datetime, datetime.datetime]: ...
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def viewlim_to_dt(self) -> tuple[datetime.datetime, datetime.datetime]: ...
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def _get_unit(self) -> float: ...
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def _get_interval(self) -> int: ...
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def nonsingular(self, vmin: float, vmax: float) -> tuple[float, float]: ...
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class RRuleLocator(DateLocator):
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def __init__(self, o: rrulewrapper, tz: Optional[Any] = None) -> None: ...
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def __call__(self) -> List[float]: ...
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def tick_values(self, vmin: datetime, vmax: datetime) -> List[float]: ...
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def _create_rrule(self, vmin: datetime, vmax: datetime) -> tuple[datetime.datetime, datetime.datetime]: ...
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def _get_unit(self) -> float: ...
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@staticmethod
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def get_unit_generic(freq: int) -> float: ...
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def _get_interval(self) -> int: ...
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class AutoDateLocator(DateLocator):
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def __init__(self, tz: Optional[Union[str, datetime.tzinfo]] = None, minticks: int = 5,
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maxticks: Optional[Union[int, Dict[int, int]]] = None,
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interval_multiples: bool = True) -> None: ...
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def __call__(self) -> List[float]: ...
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def tick_values(self, vmin: float, vmax: float) -> List[float]: ...
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def nonsingular(self, vmin: float, vmax: float) -> tuple[float, float]: ...
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def _get_unit(self) -> float: ...
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def get_locator(self, dmin: datetime, dmax: datetime) -> RRuleLocator: ...
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class YearLocator(RRuleLocator):
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def __init__(self, base: int = 1, month: int = 1, day: int = 1,
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tz: Optional[Union[str, datetime.tzinfo]] = None) -> None: ...
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def _create_rrule(self, vmin: datetime, vmax: datetime) -> tuple[datetime.datetime, datetime.datetime]: ...
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class MonthLocator(RRuleLocator):
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def __init__(self, bymonth: Optional[Union[int, List[int]]] = None,
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bymonthday: int = 1, interval: int = 1,
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tz: Optional[Union[str, datetime.tzinfo]] = None) -> None: ...
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class WeekdayLocator(RRuleLocator):
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def __init__(self, byweekday: Union[int, List[int]] = 1, interval: int = 1, tz: Optional[Union[str, datetime.tzinfo]] = None) -> None: ...
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class DayLocator(RRuleLocator):
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def __init__(self, bymonthday: Optional[Union[int, List[int]]] = None, interval: int = 1, tz: Optional[Union[str, datetime.tzinfo]] = None) -> None: ...
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class HourLocator(RRuleLocator):
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def __init__(self, byhour: Optional[Union[int, List[int]]] = None, interval: int = 1, tz: Optional[Union[str, datetime.tzinfo]] = None) -> None: ...
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class MinuteLocator(RRuleLocator):
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def __init__(self, byminute: Optional[Union[int, List[int]]] = None, interval: int = 1, tz: Optional[Union[str, datetime.tzinfo]] = None) -> None: ...
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class SecondLocator(RRuleLocator):
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def __init__(self, bysecond: Optional[Union[int, List[int]]] = None, interval: int = 1, tz: Optional[Union[str, datetime.tzinfo]] = None) -> None: ...
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class MicrosecondLocator(DateLocator):
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def __init__(self, interval: int = 1, tz: Optional[Union[str, datetime.tzinfo]] = None) -> None: ...
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def set_axis(self, axis) -> None: ...
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def __call__(self) -> List[float]: ...
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def tick_values(self, vmin: datetime, vmax: datetime) -> np.ndarray: ...
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def _get_unit(self) -> float: ...
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def _get_interval(self) -> int: ...
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class DateConverter(ConversionInterface):
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def __init__(self, *, interval_multiples: bool = True) -> None: ...
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def axisinfo(self, unit: Optional[datetime.tzinfo], axis: Axis) -> AxisInfo: ...
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@staticmethod
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def convert(value: Union[datetime.datetime, datetime.date, float, Sequence[Union[datetime.datetime, datetime.date, float]]],
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unit: Optional[datetime.tzinfo], axis: Axis) -> Union[float, np.ndarray]: ...
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@staticmethod
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def default_units(x: Union[datetime.datetime, datetime.date, float, np.ndarray, Sequence[Union[datetime.datetime, datetime.date, float]]],
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axis: Axis) -> Optional[datetime.tzinfo]: ...
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class ConciseDateConverter(DateConverter):
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def __init__(self, formats: Optional[List[str]] = None, zero_formats: Optional[List[str]] = None,
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offset_formats: Optional[List[str]] = None,
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show_offset: bool = True, *, interval_multiples: bool = True) -> None: ...
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def axisinfo(self, unit: Optional[datetime.tzinfo], axis: Axis) -> AxisInfo: ...
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class _SwitchableDateConverter:
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@staticmethod
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def _get_converter() -> Union["ConciseDateConverter", "DateConverter"]: ...
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def axisinfo(self, unit: Optional[datetime.tzinfo], axis: Axis) -> AxisInfo: ...
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def default_units(self, x: Union[datetime.datetime, datetime.date, float, np.ndarray, Sequence[Union[datetime.datetime, datetime.date, float, np.datetime64]]],
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axis: Axis) -> Optional[datetime.tzinfo]: ...
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def convert(self, value: Union[datetime.datetime, datetime.date, float, np.datetime64, Sequence[Union[datetime.datetime, datetime.date, float, np.datetime64]]],
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unit: Optional[datetime.tzinfo], axis: Axis) -> Union[float, np.ndarray]: ...
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