property CurvilinearMesh.edges_x#

Gridded x-edge locations (staggered grid).

This property returns a numpy array of shape (n_edges_x, dim) containing gridded locations for all x-edges in the mesh (staggered grid). For curvilinear meshes whose structure is minimally staggered, the x-edges are edges oriented primarily along the x-direction. For highly irregular meshes however, this is not the case; see the examples below.

(n_edges_x, dim) numpy.ndarray of float

Gridded x-edge locations (staggered grid)


Here, we provide an example of a minimally staggered curvilinear mesh. In this case, the x-edges are primarily oriented along the x-direction.

>>> from discretize import CurvilinearMesh
>>> from discretize.utils import example_curvilinear_grid, mkvc
>>> from matplotlib import pyplot as plt
>>> x, y = example_curvilinear_grid([10, 10], "rotate")
>>> mesh1 = CurvilinearMesh([x, y])
>>> x_edges = mesh1.edges_x
>>> fig1 = plt.figure(figsize=(5, 5))
>>> ax1 = fig1.add_subplot(111)
>>> mesh1.plot_grid(ax=ax1)
>>> ax1.scatter(x_edges[:, 0], x_edges[:, 1], 30, 'r')
>>> ax1.legend(['Mesh', 'X-edges'], fontsize=16)
>>> plt.plot()

Here, we provide an example of a highly irregular curvilinear mesh. In this case, the x-edges are not aligned primarily along a particular direction.

>>> x, y = example_curvilinear_grid([10, 10], "sphere")
>>> mesh2 = CurvilinearMesh([x, y])
>>> x_edges = mesh2.edges_x
>>> fig2 = plt.figure(figsize=(5, 5))
>>> ax2 = fig2.add_subplot(111)
>>> mesh2.plot_grid(ax=ax2)
>>> ax2.scatter(x_edges[:, 0], x_edges[:, 1], 30, 'r')
>>> ax2.legend(['Mesh', 'X-edges'], fontsize=16)
>>> plt.plot()

(Source code)


(png, pdf)#


(png, pdf)#