ai-content-maker/.venv/Lib/site-packages/matplotlib/streamplot.pyi

83 lines
2.6 KiB
Python

from matplotlib.axes import Axes
from matplotlib.colors import Normalize, Colormap
from matplotlib.collections import LineCollection, PatchCollection
from matplotlib.patches import ArrowStyle
from matplotlib.transforms import Transform
from typing import Literal
from numpy.typing import ArrayLike
from .typing import ColorType
def streamplot(
axes: Axes,
x: ArrayLike,
y: ArrayLike,
u: ArrayLike,
v: ArrayLike,
density: float | tuple[float, float] = ...,
linewidth: float | ArrayLike | None = ...,
color: ColorType | ArrayLike | None = ...,
cmap: str | Colormap | None = ...,
norm: str | Normalize | None = ...,
arrowsize: float = ...,
arrowstyle: str | ArrowStyle = ...,
minlength: float = ...,
transform: Transform | None = ...,
zorder: float | None = ...,
start_points: ArrayLike | None = ...,
maxlength: float = ...,
integration_direction: Literal["forward", "backward", "both"] = ...,
broken_streamlines: bool = ...,
) -> StreamplotSet: ...
class StreamplotSet:
lines: LineCollection
arrows: PatchCollection
def __init__(self, lines: LineCollection, arrows: PatchCollection) -> None: ...
class DomainMap:
grid: Grid
mask: StreamMask
x_grid2mask: float
y_grid2mask: float
x_mask2grid: float
y_mask2grid: float
x_data2grid: float
y_data2grid: float
def __init__(self, grid: Grid, mask: StreamMask) -> None: ...
def grid2mask(self, xi: float, yi: float) -> tuple[int, int]: ...
def mask2grid(self, xm: float, ym: float) -> tuple[float, float]: ...
def data2grid(self, xd: float, yd: float) -> tuple[float, float]: ...
def grid2data(self, xg: float, yg: float) -> tuple[float, float]: ...
def start_trajectory(
self, xg: float, yg: float, broken_streamlines: bool = ...
) -> None: ...
def reset_start_point(self, xg: float, yg: float) -> None: ...
def update_trajectory(self, xg, yg, broken_streamlines: bool = ...) -> None: ...
def undo_trajectory(self) -> None: ...
class Grid:
nx: int
ny: int
dx: float
dy: float
x_origin: float
y_origin: float
width: float
height: float
def __init__(self, x: ArrayLike, y: ArrayLike) -> None: ...
@property
def shape(self) -> tuple[int, int]: ...
def within_grid(self, xi: float, yi: float) -> bool: ...
class StreamMask:
nx: int
ny: int
shape: tuple[int, int]
def __init__(self, density: float | tuple[float, float]) -> None: ...
def __getitem__(self, args): ...
class InvalidIndexError(Exception): ...
class TerminateTrajectory(Exception): ...
class OutOfBounds(IndexError): ...