pyvista.DataSet.flip_normal#

DataSet.flip_normal(normal: ndarray[Any, dtype[number]] | Sequence[int | float], point: ndarray[Any, dtype[number]] | Sequence[int | float] | None = None, transform_all_input_vectors: bool = False, inplace: bool = False)[source]#

Flip mesh about the normal.

Note

See also the notes at transform() which is used by this filter under the hood.

Parameters:
normalsequence[float]

Normal vector to flip about.

pointsequence[float]

Point to rotate about. Defaults to center of mesh at center.

transform_all_input_vectorsbool, default: False

When True, all input vectors are transformed. Otherwise, only the points, normals and active vectors are transformed.

inplacebool, default: False

Updates mesh in-place.

Returns:
pyvista.DataSet

Dataset flipped about its normal.

Examples

>>> import pyvista as pv
>>> from pyvista import examples
>>> pl = pv.Plotter(shape=(1, 2))
>>> pl.subplot(0, 0)
>>> pl.show_axes()
>>> mesh1 = examples.download_teapot()
>>> _ = pl.add_mesh(mesh1)
>>> pl.subplot(0, 1)
>>> pl.show_axes()
>>> mesh2 = mesh1.flip_normal([1.0, 1.0, 1.0], inplace=False)
>>> _ = pl.add_mesh(mesh2)
>>> pl.show(cpos="xy")
../../../_images/pyvista-DataSet-flip_normal-1_00_00.png