pyvista.Transform.rotate_x

Transform.rotate_x(

angle: float,

*,

point: VectorLike[float] | None = None,

multiply_mode: Literal['pre', 'post'] | None = None,

) → Transform

Concatenate a rotation about the x-axis.

Create a matrix for rotation about the x-axis and concatenate() it with the current transformation matrix according to pre-multiply or post-multiply semantics.

Internally, the matrix is stored in the matrix_list.

Parameters:

anglefloat

Angle in degrees to rotate about the x-axis.

pointVectorLike[float], optional

Point to rotate about. By default, the object’s point is used, but this can be overridden. If set, two additional transformations are concatenated and added to the matrix_list:

• translate() to point before the rotation

• translate() away from point after the rotation

multiply_mode‘pre’ | ‘post’, optional

Multiplication mode to use when concatenating the matrix. By default, the object’s multiply_mode is used, but this can be overridden. Set this to 'pre' for pre-multiplication or 'post' for post-multiplication.

See also

pyvista.DataSetFilters.rotate_x

Rotate a mesh about the x-axis.

Examples

Concatenate a rotation about the x-axis.

>>> import pyvista as pv
>>> transform = pv.Transform().rotate_x(90)
>>> transform.matrix
array([[ 1.,  0.,  0.,  0.],
       [ 0.,  0., -1.,  0.],
       [ 0.,  1.,  0.,  0.],
       [ 0.,  0.,  0.,  1.]])

Concatenate a second rotation about the x-axis.

>>> _ = transform.rotate_x(45)

The result is a matrix that rotates about the x-axis by 135 degrees.

>>> transform.matrix
array([[ 1.        ,  0.        ,  0.        ,  0.        ],
       [ 0.        , -0.70710678, -0.70710678,  0.        ],
       [ 0.        ,  0.70710678, -0.70710678,  0.        ],
       [ 0.        ,  0.        ,  0.        ,  1.        ]])