get_keypoints

LegacyGeometry.get_keypoints(return_as_list=False, return_as_array=False, return_ids_in_array=False)

Obtain the keypoints geometry.

Obtain the selected keypoints as a pyvista.PolyData object or a list of pyvista.PolyData.

Parameters:

return_as_listbool, optional

Whether to return the data as a list. The default is False, in which case the data is returned as a PyVista PolyData object.

return_as_arraybool, optional

Whether to return the data as a numpy array. The default is False, in which case the data is returned as a PyVista PolyData object.

return_ids_in_arraybool, optional

Whether to return the keypoint IDs in the output array. The default is False, in which case the data is as a numpy array object with only the coordinates. This parameter is only valid when return_as_array=True.

Returns:

Union[NDArray[Any], pv.PolyData, list[pv.PolyData]]

Return type:

Union[ndarray[Any, dtype[Any]], PolyData, List[PolyData]]

Examples

Return a single merged mesh.

>>> kps = mapdl.geometry.get_keypoints()
>>> kps
PolyData (0x147d5b580)
  N Cells:    26
  N Points:   26
  N Strips:   0
  X Bounds:   -1.588e-02, 1.588e-02
  Y Bounds:   -7.620e-03, 1.778e-02
  Z Bounds:   -3.180e-03, 1.524e-02
  N Arrays:   1

Return a list of keypoints as individual grids

>>> keypoints = mapdl.geometry.get_keypoints(return_as_list=True)
>>> keypoints
[PolyData (0x147ca4be...rrays:   1, PolyData (0x147d5b8e...rrays:   1, PolyData (0x1491a42e...rrays:   1, PolyData (0x1491a440...rrays:   1, PolyData (0x1491a47c...rrays:   1, PolyData (0x1491a470...rrays:   1, PolyData (0x1491a4b2...rrays:   1, PolyData (0x1491a4e2...rrays:   1, PolyData (0x1491a49a...rrays:   1, PolyData (0x1491a4f4...rrays:   1, PolyData (0x1491a458...rrays:   1, PolyData (0x1491a4b8...rrays:   1, PolyData (0x1491a4dc...rrays:   1, PolyData (0x1491a506...rrays:   1, ...]

Return the keypoints coordinates as a numpy array:

>>> keypoints = mapdl.geometry.get_keypoints(return_as_array=True)
array([[ 0.00000000e+00,  1.77800000e-02, -3.18000000e-03],
       [ 0.00000000e+00, -7.62000000e-03, -3.18000000e-03],
       [ 1.58750000e-02,  1.77800000e-02, -3.18000000e-03],
       [ 1.58750000e-02, -7.62000000e-03, -3.18000000e-03],
       [ 0.00000000e+00, -7.62000000e-03,  0.00000000e+00],
...

When returning an array, you can also choose to output the keypoint ids as the first column:

>>> keypoints = mapdl.geometry.get_keypoints(return_ids_in_array=True)
array([[ 1.00000000e+00,  0.00000000e+00,  1.77800000e-02,
        -3.18000000e-03],
       [ 2.00000000e+00,  0.00000000e+00, -7.62000000e-03,
        -3.18000000e-03],
       [ 3.00000000e+00,  1.58750000e-02,  1.77800000e-02,
        -3.18000000e-03],
       [ 4.00000000e+00,  1.58750000e-02, -7.62000000e-03,
        -3.18000000e-03],
       [ 5.00000000e+00,  0.00000000e+00, -7.62000000e-03,
         0.00000000e+00],
       [ 6.00000000e+00,  1.58750000e-02, -7.62000000e-03,
...