MeshError: MeshError
MeshType: MeshType

__new__(cls, data, mesh_type=None, allow_indeterminate=None): 

• griddata: np.ndarray

  the raw grid-point data the mesh uses

• mesh_type: None | str

  the type of mesh we have

• opts: Any

__init__(self, *args, **kwargs): 

__array_finalize__(self, mesh): 

@property
mesh_spacings(self): 

@property
subgrids(self): 

@property
bounding_box(self): 

@property
dimension(self): 

Returns the dimension of the grid (not necessarily ndim)

• :returns: int

@property
npoints(self): 

Returns the number of gridpoints in the mesh

• :returns: int

@property
gridpoints(self): 

Returns the flattened set of gridpoints for a structured tensor grid and otherwise just returns the gridpoints

• :returns: _

get_npoints(g): 

Returns the number of gridpoints in the grid

• g: np.ndarray

• :returns: int

get_gridpoints(g): 

Returns the gridpoints in the grid

• g: np.ndarray

• :returns: int

get_mesh_subgrids(grid, tol=None): 

Returns the subgrids for a mesh

• grid: Any

• tol: Any

• :returns: _

get_mesh_spacings(grid, tol=None): 

get_mesh_type(grid, check_product_grid=True, check_regular_grid=True, tol=None): 

Determines what kind of grid we’re working with

• grid: np.ndarray

• :returns: MeshType

  m e s h _ t y p e

RegularMesh(*mesh_specs): 

Builds a grid from multiple linspace arguments, basically insuring it’s structured (if non-Empty)

• mesh_specs: Any

• :returns: _