def structured_grid(lower_left, upper_right, subdivisions):
"""Create a two dimensional grid by defining the lower left and
upper right point.
Parameters
----------
lower_left : tuple
The (x,y) coordinate of the lower left corner of the grid.
upper_right : tuple
The (x,y) coordinate of the upper right corner of the grid.
subdivisions : tuple
A tuple (N,M) specifiying the number of subdivisions in
each dimension.
Returns
-------
grid : bempp.Grid
A structured grid.
Examples
--------
The following command creates a grid of the unit square [0,1]^2.
>>> grid = structured_grid((0,0),(1,1),(100,100))
"""
from bempp.core.grid.grid import structured_grid as grid_fun
return Grid(grid_fun(lower_left, upper_right, subdivisions))
def grid_from_element_data(vertices, elements, domain_indices=[]):
"""Create a grid from a given set of vertices and elements.
This function takes a list of vertices and a list of elements
and returns a grid object.
Parameters
----------
vertices : np.ndarray[float]
A (3xN) array of vertices.
elements : np.ndarray[int]
A (3xN) array of elements.
Returns
-------
grid : bempp.Grid
The grid representing the specified element data.
Examples
--------
The following code creates a grid with two elements.
>>> import numpy as np
>>> vertices = np.array([[0,1,1,0],
[0,0,1,1],
[0,0,0,0]])
>>> elements = np.array([[0,1],
[1,2],
[3,3]])
>>> grid = grid_from_element_data(vertices,elements)
"""
from bempp.core.grid.grid import grid_from_element_data as grid_fun
return Grid(grid_fun(vertices, elements, domain_indices))
