ProjectedMesh

from mcot.surface.mesh import ProjectedMesh
class mcot.surface.mesh.ProjectedMesh(mesh, indices, position, orientation)[source]

1-dimensional slice of a 2D mesh.

__init__(mesh, indices, position, orientation)[source]

Inheritance diagram

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Methods

line_collection(inplane_vec[, flip_other, ...])

Returns a matplotlib line collection of the projected surface.

spanned_coordinates(inplane_vec[, flip_other])

Computes the 2D coordinates from the position

Attributes

npoints

line_collection

ProjectedMesh.line_collection(inplane_vec, flip_other=False, surface_arr=None, axes=None, **kwargs)[source]

Returns a matplotlib line collection of the projected surface.

Parameters

  • inplane_vec – (3, ) array defining the hemisphere that will be used as the x-coordinate (see ProjectedMesh.spanned_coordinates)

  • flip_other – if True the y-coordinate is defined based on the negative of the cross product betwen the plane normal and inplane_vec rather than the positive

  • surface_arr – (N, ) or (N, 3) array defining values for vertices on the original mesh. If set will be used to set the color along the line;

  • axes – matplotlib axes. If set the LineCollection will be added to this plot

  • kwargs – keywords are pased on to the creation of the LineCollection (see matplotlib.collections.LineCollection)

Returns

the new LineCollection

Return type

matplotlib.collections.LineCollection

spanned_coordinates

ProjectedMesh.spanned_coordinates(inplane_vec, flip_other=False)[source]

Computes the 2D coordinates from the position

Parameters

  • inplane_vec – (3, ) array with any in-plane hemisphere defining the first coordinate

  • flip_other – if True the second coordinate is defined based on the negative of the cross product betwen the plane normal and inplane_vec rather than the positive

Returns

(Npoints, 2) array with the coordinates along and perpendicular to inplane_vec