You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
143 lines
5.7 KiB
143 lines
5.7 KiB
1 year ago
|
"""
|
||
|
This type stub file was generated by pyright.
|
||
|
"""
|
||
|
|
||
|
import matplotlib.cm as cm
|
||
|
import numpy as np
|
||
|
from matplotlib.artist import Artist
|
||
|
from matplotlib.axes import Axes
|
||
|
from matplotlib.collections import Collection, PathCollection
|
||
|
from matplotlib.colors import Colormap, Normalize
|
||
|
from matplotlib.font_manager import FontProperties
|
||
|
from matplotlib.path import Path
|
||
|
from matplotlib.patches import Patch
|
||
|
from matplotlib.text import Text
|
||
|
from matplotlib.transforms import Transform, TransformedPatchPath, TransformedPath
|
||
|
from matplotlib.ticker import Formatter, Locator
|
||
|
from numpy.typing import ArrayLike
|
||
|
from collections.abc import Callable, Iterable, Sequence
|
||
|
from typing import Literal
|
||
|
from .typing import ColorType
|
||
|
|
||
|
class ClabelText(Text):
|
||
|
...
|
||
|
|
||
|
|
||
|
class ContourLabeler:
|
||
|
labelFmt: str | Formatter | Callable[[float], str] | dict[float, str]
|
||
|
labelManual: bool | Iterable[tuple[float, float]]
|
||
|
rightside_up: bool
|
||
|
labelLevelList: list[float]
|
||
|
labelIndiceList: list[int]
|
||
|
labelMappable: cm.ScalarMappable
|
||
|
labelCValueList: list[ColorType]
|
||
|
labelXYs: list[tuple[float, float]]
|
||
|
def clabel(self, levels: ArrayLike | None = ..., *, fontsize: str | float | None = ..., inline: bool = ..., inline_spacing: float = ..., fmt: str | Formatter | Callable[[float], str] | dict[float, str] | None = ..., colors: ColorType | Sequence[ColorType] | None = ..., use_clabeltext: bool = ..., manual: bool | Iterable[tuple[float, float]] = ..., rightside_up: bool = ..., zorder: float | None = ...) -> list[Text]:
|
||
|
...
|
||
|
|
||
|
@property
|
||
|
def labelFontProps(self) -> FontProperties:
|
||
|
...
|
||
|
|
||
|
@property
|
||
|
def labelFontSizeList(self) -> list[float]:
|
||
|
...
|
||
|
|
||
|
@property
|
||
|
def labelTextsList(self) -> list[Text]:
|
||
|
...
|
||
|
|
||
|
def print_label(self, linecontour: ArrayLike, labelwidth: float) -> bool:
|
||
|
...
|
||
|
|
||
|
def too_close(self, x: float, y: float, lw: float) -> bool:
|
||
|
...
|
||
|
|
||
|
def set_label_props(self, label: Text, text: str, color: ColorType) -> None:
|
||
|
...
|
||
|
|
||
|
def get_text(self, lev: float, fmt: str | Formatter | Callable[[float], str] | dict[float, str]) -> str:
|
||
|
...
|
||
|
|
||
|
def locate_label(self, linecontour: ArrayLike, labelwidth: float) -> tuple[float, float, float]:
|
||
|
...
|
||
|
|
||
|
def calc_label_rot_and_inline(self, slc: ArrayLike, ind: int, lw: float, lc: ArrayLike | None = ..., spacing: int = ...) -> tuple[float, list[ArrayLike]]:
|
||
|
...
|
||
|
|
||
|
def add_label(self, x: float, y: float, rotation: float, lev: float, cvalue: ColorType) -> None:
|
||
|
...
|
||
|
|
||
|
def add_label_clabeltext(self, x: float, y: float, rotation: float, lev: float, cvalue: ColorType) -> None:
|
||
|
...
|
||
|
|
||
|
def add_label_near(self, x: float, y: float, inline: bool = ..., inline_spacing: int = ..., transform: Transform | Literal[False] | None = ...) -> None:
|
||
|
...
|
||
|
|
||
|
def pop_label(self, index: int = ...) -> None:
|
||
|
...
|
||
|
|
||
|
def labels(self, inline: bool, inline_spacing: int) -> None:
|
||
|
...
|
||
|
|
||
|
def remove(self) -> None:
|
||
|
...
|
||
|
|
||
|
|
||
|
|
||
|
class ContourSet(ContourLabeler, Collection):
|
||
|
axes: Axes
|
||
|
levels: Iterable[float]
|
||
|
filled: bool
|
||
|
linewidths: float | ArrayLike | None
|
||
|
hatches: Iterable[str | None]
|
||
|
origin: Literal["upper", "lower", "image"] | None
|
||
|
extent: tuple[float, float, float, float] | None
|
||
|
colors: ColorType | Sequence[ColorType]
|
||
|
extend: Literal["neither", "both", "min", "max"]
|
||
|
nchunk: int
|
||
|
locator: Locator | None
|
||
|
logscale: bool
|
||
|
negative_linestyles: None | Literal["solid", "dashed", "dashdot", "dotted"] | Iterable[Literal["solid", "dashed", "dashdot", "dotted"]]
|
||
|
clip_path: Patch | Path | TransformedPath | TransformedPatchPath | None
|
||
|
labelTexts: list[Text]
|
||
|
labelCValues: list[ColorType]
|
||
|
allkinds: list[np.ndarray]
|
||
|
tcolors: list[tuple[float, float, float, float]]
|
||
|
tlinewidths: list[tuple[float]]
|
||
|
@property
|
||
|
def alpha(self) -> float | None:
|
||
|
...
|
||
|
|
||
|
@property
|
||
|
def antialiased(self) -> bool:
|
||
|
...
|
||
|
|
||
|
@antialiased.setter
|
||
|
def antialiased(self, aa: bool | Sequence[bool]) -> None:
|
||
|
...
|
||
|
|
||
|
@property
|
||
|
def collections(self) -> list[PathCollection]:
|
||
|
...
|
||
|
|
||
|
@property
|
||
|
def linestyles(self) -> (None | Literal["solid", "dashed", "dashdot", "dotted"] | Iterable[Literal["solid", "dashed", "dashdot", "dotted"]]):
|
||
|
...
|
||
|
|
||
|
def __init__(self, ax: Axes, *args, levels: Iterable[float] | None = ..., filled: bool = ..., linewidths: float | ArrayLike | None = ..., linestyles: Literal["solid", "dashed", "dashdot", "dotted"] | Iterable[Literal["solid", "dashed", "dashdot", "dotted"]] | None = ..., hatches: Iterable[str | None] = ..., alpha: float | None = ..., origin: Literal["upper", "lower", "image"] | None = ..., extent: tuple[float, float, float, float] | None = ..., cmap: str | Colormap | None = ..., colors: ColorType | Sequence[ColorType] | None = ..., norm: str | Normalize | None = ..., vmin: float | None = ..., vmax: float | None = ..., extend: Literal["neither", "both", "min", "max"] = ..., antialiased: bool | None = ..., nchunk: int = ..., locator: Locator | None = ..., transform: Transform | None = ..., negative_linestyles: Literal["solid", "dashed", "dashdot", "dotted"] | Iterable[Literal["solid", "dashed", "dashdot", "dotted"]] | None = ..., clip_path: Patch | Path | TransformedPath | TransformedPatchPath | None = ..., **kwargs) -> None:
|
||
|
...
|
||
|
|
||
|
def legend_elements(self, variable_name: str = ..., str_format: Callable[[float], str] = ...) -> tuple[list[Artist], list[str]]:
|
||
|
...
|
||
|
|
||
|
def find_nearest_contour(self, x: float, y: float, indices: Iterable[int] | None = ..., pixel: bool = ...) -> tuple[Collection, int, int, float, float, float]:
|
||
|
...
|
||
|
|
||
|
|
||
|
|
||
|
class QuadContourSet(ContourSet):
|
||
|
...
|
||
|
|
||
|
|