Provides a cartesian 3D grid for the beamforming results.
The grid has cubic or nearly cubic cells. It is defined by lower and upper x-, y- and z-limits.
z_min= Float(-1.0, …¶
The lower z-limit that defines the grid, defaults to -1.
z_max= Float(1.0, …¶
The upper z-limit that defines the grid, defaults to 1.
nzsteps= Property( …¶
Number of grid points along x-axis, readonly.
increment= Property(desc="step size")¶
The cell side length for the grid. This can either be a scalar (same increments in all 3 dimensions) or a (3,) array of floats with respective increments in x,y, and z-direction (in m). Defaults to 0.1.
index(x, y, z)¶
Queries the indices for a grid point near a certain co-ordinate.
This can be used to query results or co-ordinates at/near a certain co-ordinate.
- x, y, zfloat
The co-ordinates for which the indices is queried.
- 3-tuple of integers
The indices that give the grid point nearest to the given x, y, z co-ordinates from an array with the same shape as the grid.
indices(x1, y1, z1, x2, y2, z2)¶
Queries the indices for a subdomain in the grid.
Allows box-shaped subdomains. This can be used to mask or to query results from a certain sector or subdomain.
- x1, y1, z1, x2, y2, z2float
A box-shaped sector is assumed that is given by two corners (x1,y1,z1) and (x2,y2,z2).
- 3-tuple of numpy slice objects
The indices that can be used to mask/select the grid subdomain from an array with the same shape as the grid.