- TreeMesh.refine_surface(xyz, level=- 1, padding_cells_by_level=None, pad_up=False, pad_down=True, finalize=True, diagonal_balance=None)[source]#
Refine along a surface triangulated from xyz to the prescribed level.
This function refines the mesh based on a triangulated surface from the input points. Every cell that intersects the surface will be refined to the given level.
It also optionally pads the surface at each level based on the number of padding cells at each dimension. It does so by stretching the bounding box of the surface in each dimension.
dim) array_like or
The points defining the surface. Will be triangulated along the horizontal dimensions. You are able to supply your own triangulation in 3D by passing a tuple of (xyz, triangle_indices).
The level of the tree mesh to refine to. Negative values index tree levels backwards, (e.g. -1 is max_level).
The number of cells to pad the bounding box at each level of refinement. If a single number, each level below
levelwill be padded with those number of cells. If array_like, n_level`s below ``level` will be padded, where if a 1D array, each dimension will be padded with the same number of cells, or 2D array supports variable padding along each dimension. None implies no padding.
Whether to pad above the surface.
Whether to pad below the surface.
Whether to finalize the mesh after the call.
Whether to balance cells diagonally in the refinement, None implies using the same setting used to instantiate the TreeMesh`.
In 2D we define the surface as a line segment, which we would like to refine along.
>>> import discretize >>> import matplotlib.pyplot as plt >>> import matplotlib.patches as patches >>> mesh = discretize.TreeMesh([32, 32])
This surface is a simple sine curve, which we would like to pad with at least 2 cells vertically below at the maximum level, and 3 cells below that at the second highest level.
>>> x = np.linspace(0.2, 0.8, 51) >>> z = 0.25*np.sin(2*np.pi*x)+0.5 >>> xz = np.c_[x, z] >>> mesh.refine_surface(xz, -1, [[0, 2], [0, 3]])
>>> ax = mesh.plot_grid() >>> ax.plot(x, z, color='C1') >>> plt.show()
(Source code, png, pdf)
In 3D we define a grid of surface locations with there corresponding elevations. In this example we pad 2 cells at the finest level below the surface, and 3 cells down at the next level.
>>> mesh = discretize.TreeMesh([32, 32, 32]) >>> x, y = np.mgrid[0.2:0.8:21j, 0.2:0.8:21j] >>> z = 0.125*np.sin(2*np.pi*x) + 0.5 + 0.125 * np.cos(2 * np.pi * y) >>> points = np.stack([x, y, z], axis=-1).reshape(-1, 3) >>> mesh.refine_surface(points, -1, [[0, 0, 2], [0, 0, 3]])
>>> v = mesh.cell_levels_by_index(np.arange(mesh.n_cells)) >>> fig, axs = plt.subplots(1, 3, figsize=(12,4)) >>> mesh.plot_slice(v, ax=axs, normal='x', grid=True, clim=[2, 5]) >>> mesh.plot_slice(v, ax=axs, normal='y', grid=True, clim=[2, 5]) >>> mesh.plot_slice(v, ax=axs, normal='z', grid=True, clim=[2, 5]) >>> plt.show()