depth_mesh#

depth_mesh(model: DepthEucl, notion: str = 'halfspace', freq: List[int] = [100, 100], xlim: List[int] | None = None, ylim: List[int] | None = None, mah_estimate: str = 'moment', mah_parMCD: float = 0.75, beta: int = 2, distance: str = 'Lp', Lp_p: int = 2, exact: bool = True, method: str = 'recursive', k: float = 0.05, solver: str = 'neldermead', NRandom: int = 1000, n_refinements: int = 10, sphcap_shrink: float = 0.5, alpha_Dirichlet: float = 1.25, cooling_factor: float = 0.95, cap_size: float | int = 1, start: str = 'mean', space: str = 'sphere', line_solver: str = 'goldensection', bound_gc: bool = True) → tuple[ndarray, ndarray, ndarray][source]

Computes the depth mesh

Parameters

notion: str, default=”halfspace”

Chosen notion for depth computation. The mesh will be computed using this notion to map the 2D space

freq: List[int], defaul=[100,100]

Amount of points to map depth in both dimensions.

xlim: List[int], default=None

Limits for x value computation. If None, value is determined based on dataset values.

ylim: List[int], default=None

Limits for y value computation. If None, value is determined based on dataset values.

Results

xs: np.ndarray

x coordinate for plotting

ys: np.ndarray

y coordinate for plotting

depth_grid: np.ndarray

depth values for the grid