302 lines
10 KiB
Python
302 lines
10 KiB
Python
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from collections.abc import Callable, Sequence
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from typing import Any, Literal
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from matplotlib.axis import Axis
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from matplotlib.transforms import Transform
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from matplotlib.projections.polar import _AxisWrapper
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import numpy as np
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class _DummyAxis:
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__name__: str
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def __init__(self, minpos: float = ...) -> None: ...
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def get_view_interval(self) -> tuple[float, float]: ...
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def set_view_interval(self, vmin: float, vmax: float) -> None: ...
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def get_minpos(self) -> float: ...
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def get_data_interval(self) -> tuple[float, float]: ...
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def set_data_interval(self, vmin: float, vmax: float) -> None: ...
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def get_tick_space(self) -> int: ...
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class TickHelper:
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axis: None | Axis | _DummyAxis | _AxisWrapper
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def set_axis(self, axis: Axis | _DummyAxis | _AxisWrapper | None) -> None: ...
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def create_dummy_axis(self, **kwargs) -> None: ...
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class Formatter(TickHelper):
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locs: list[float]
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def __call__(self, x: float, pos: int | None = ...) -> str: ...
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def format_ticks(self, values: list[float]) -> list[str]: ...
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def format_data(self, value: float) -> str: ...
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def format_data_short(self, value: float) -> str: ...
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def get_offset(self) -> str: ...
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def set_locs(self, locs: list[float]) -> None: ...
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@staticmethod
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def fix_minus(s: str) -> str: ...
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class NullFormatter(Formatter): ...
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class FixedFormatter(Formatter):
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seq: Sequence[str]
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offset_string: str
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def __init__(self, seq: Sequence[str]) -> None: ...
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def set_offset_string(self, ofs: str) -> None: ...
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class FuncFormatter(Formatter):
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func: Callable[[float, int | None], str]
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offset_string: str
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# Callable[[float, int | None], str] | Callable[[float], str]
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def __init__(self, func: Callable[..., str]) -> None: ...
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def set_offset_string(self, ofs: str) -> None: ...
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class FormatStrFormatter(Formatter):
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fmt: str
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def __init__(self, fmt: str) -> None: ...
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class StrMethodFormatter(Formatter):
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fmt: str
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def __init__(self, fmt: str) -> None: ...
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class ScalarFormatter(Formatter):
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orderOfMagnitude: int
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format: str
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def __init__(
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self,
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useOffset: bool | float | None = ...,
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useMathText: bool | None = ...,
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useLocale: bool | None = ...,
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) -> None: ...
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offset: float
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def get_useOffset(self) -> bool: ...
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def set_useOffset(self, val: bool | float) -> None: ...
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@property
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def useOffset(self) -> bool: ...
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@useOffset.setter
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def useOffset(self, val: bool | float) -> None: ...
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def get_useLocale(self) -> bool: ...
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def set_useLocale(self, val: bool | None) -> None: ...
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@property
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def useLocale(self) -> bool: ...
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@useLocale.setter
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def useLocale(self, val: bool | None) -> None: ...
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def get_useMathText(self) -> bool: ...
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def set_useMathText(self, val: bool | None) -> None: ...
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@property
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def useMathText(self) -> bool: ...
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@useMathText.setter
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def useMathText(self, val: bool | None) -> None: ...
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def set_scientific(self, b: bool) -> None: ...
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def set_powerlimits(self, lims: tuple[int, int]) -> None: ...
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def format_data_short(self, value: float | np.ma.MaskedArray) -> str: ...
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def format_data(self, value: float) -> str: ...
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class LogFormatter(Formatter):
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minor_thresholds: tuple[float, float]
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def __init__(
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self,
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base: float = ...,
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labelOnlyBase: bool = ...,
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minor_thresholds: tuple[float, float] | None = ...,
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linthresh: float | None = ...,
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) -> None: ...
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def set_base(self, base: float) -> None: ...
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labelOnlyBase: bool
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def set_label_minor(self, labelOnlyBase: bool) -> None: ...
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def set_locs(self, locs: Any | None = ...) -> None: ...
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def format_data(self, value: float) -> str: ...
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def format_data_short(self, value: float) -> str: ...
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class LogFormatterExponent(LogFormatter): ...
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class LogFormatterMathtext(LogFormatter): ...
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class LogFormatterSciNotation(LogFormatterMathtext): ...
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class LogitFormatter(Formatter):
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def __init__(
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self,
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*,
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use_overline: bool = ...,
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one_half: str = ...,
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minor: bool = ...,
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minor_threshold: int = ...,
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minor_number: int = ...
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) -> None: ...
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def use_overline(self, use_overline: bool) -> None: ...
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def set_one_half(self, one_half: str) -> None: ...
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def set_minor_threshold(self, minor_threshold: int) -> None: ...
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def set_minor_number(self, minor_number: int) -> None: ...
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def format_data_short(self, value: float) -> str: ...
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class EngFormatter(Formatter):
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ENG_PREFIXES: dict[int, str]
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unit: str
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places: int | None
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sep: str
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def __init__(
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self,
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unit: str = ...,
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places: int | None = ...,
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sep: str = ...,
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*,
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usetex: bool | None = ...,
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useMathText: bool | None = ...
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) -> None: ...
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def get_usetex(self) -> bool: ...
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def set_usetex(self, val: bool | None) -> None: ...
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@property
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def usetex(self) -> bool: ...
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@usetex.setter
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def usetex(self, val: bool | None) -> None: ...
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def get_useMathText(self) -> bool: ...
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def set_useMathText(self, val: bool | None) -> None: ...
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@property
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def useMathText(self) -> bool: ...
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@useMathText.setter
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def useMathText(self, val: bool | None) -> None: ...
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def format_eng(self, num: float) -> str: ...
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class PercentFormatter(Formatter):
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xmax: float
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decimals: int | None
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def __init__(
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self,
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xmax: float = ...,
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decimals: int | None = ...,
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symbol: str | None = ...,
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is_latex: bool = ...,
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) -> None: ...
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def format_pct(self, x: float, display_range: float) -> str: ...
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def convert_to_pct(self, x: float) -> float: ...
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@property
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def symbol(self) -> str: ...
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@symbol.setter
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def symbol(self, symbol: str) -> None: ...
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class Locator(TickHelper):
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MAXTICKS: int
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def tick_values(self, vmin: float, vmax: float) -> Sequence[float]: ...
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# Implementation accepts **kwargs, but is a no-op other than a warning
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# Typing as **kwargs would require each subclass to accept **kwargs for mypy
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def set_params(self) -> None: ...
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def __call__(self) -> Sequence[float]: ...
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def raise_if_exceeds(self, locs: Sequence[float]) -> Sequence[float]: ...
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def nonsingular(self, v0: float, v1: float) -> tuple[float, float]: ...
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def view_limits(self, vmin: float, vmax: float) -> tuple[float, float]: ...
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class IndexLocator(Locator):
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offset: float
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def __init__(self, base: float, offset: float) -> None: ...
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def set_params(
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self, base: float | None = ..., offset: float | None = ...
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) -> None: ...
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class FixedLocator(Locator):
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nbins: int | None
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def __init__(self, locs: Sequence[float], nbins: int | None = ...) -> None: ...
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def set_params(self, nbins: int | None = ...) -> None: ...
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class NullLocator(Locator): ...
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class LinearLocator(Locator):
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presets: dict[tuple[float, float], Sequence[float]]
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def __init__(
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self,
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numticks: int | None = ...,
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presets: dict[tuple[float, float], Sequence[float]] | None = ...,
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) -> None: ...
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@property
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def numticks(self) -> int: ...
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@numticks.setter
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def numticks(self, numticks: int | None) -> None: ...
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def set_params(
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self,
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numticks: int | None = ...,
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presets: dict[tuple[float, float], Sequence[float]] | None = ...,
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) -> None: ...
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class MultipleLocator(Locator):
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def __init__(self, base: float = ..., offset: float = ...) -> None: ...
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def set_params(self, base: float | None = ..., offset: float | None = ...) -> None: ...
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def view_limits(self, dmin: float, dmax: float) -> tuple[float, float]: ...
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class _Edge_integer:
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step: float
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def __init__(self, step: float, offset: float) -> None: ...
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def closeto(self, ms: float, edge: float) -> bool: ...
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def le(self, x: float) -> float: ...
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def ge(self, x: float) -> float: ...
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class MaxNLocator(Locator):
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default_params: dict[str, Any]
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def __init__(self, nbins: int | Literal["auto"] | None = ..., **kwargs) -> None: ...
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def set_params(self, **kwargs) -> None: ...
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def view_limits(self, dmin: float, dmax: float) -> tuple[float, float]: ...
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class LogLocator(Locator):
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numdecs: float
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numticks: int | None
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def __init__(
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self,
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base: float = ...,
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subs: None | Literal["auto", "all"] | Sequence[float] = ...,
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numdecs: float = ...,
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numticks: int | None = ...,
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) -> None: ...
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def set_params(
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self,
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base: float | None = ...,
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subs: Literal["auto", "all"] | Sequence[float] | None = ...,
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numdecs: float | None = ...,
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numticks: int | None = ...,
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) -> None: ...
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class SymmetricalLogLocator(Locator):
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numticks: int
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def __init__(
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self,
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transform: Transform | None = ...,
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subs: Sequence[float] | None = ...,
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linthresh: float | None = ...,
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base: float | None = ...,
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) -> None: ...
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def set_params(
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self, subs: Sequence[float] | None = ..., numticks: int | None = ...
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) -> None: ...
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class AsinhLocator(Locator):
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linear_width: float
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numticks: int
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symthresh: float
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base: int
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subs: Sequence[float] | None
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def __init__(
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self,
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linear_width: float,
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numticks: int = ...,
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symthresh: float = ...,
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base: int = ...,
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subs: Sequence[float] | None = ...,
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) -> None: ...
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def set_params(
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self,
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numticks: int | None = ...,
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symthresh: float | None = ...,
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base: int | None = ...,
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subs: Sequence[float] | None = ...,
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) -> None: ...
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class LogitLocator(MaxNLocator):
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def __init__(
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self, minor: bool = ..., *, nbins: Literal["auto"] | int = ...
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) -> None: ...
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def set_params(self, minor: bool | None = ..., **kwargs) -> None: ...
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@property
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def minor(self) -> bool: ...
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@minor.setter
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def minor(self, value: bool) -> None: ...
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class AutoLocator(MaxNLocator):
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def __init__(self) -> None: ...
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class AutoMinorLocator(Locator):
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ndivs: int
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def __init__(self, n: int | None = ...) -> None: ...
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