DataSetFilters.sample_over_circular_arc_normal

DataSetFilters.sample_over_circular_arc_normal(

*,

center: VectorLikeFloat,

resolution: int | None = None,

normal: VectorLikeFloat | None = None,

polar: VectorLikeFloat | None = None,

angle: float | None = None,

tolerance: float | None = None,

progress_bar: bool = False,

) → PolyData

Sample a dataset over a circular arc defined by a normal and polar vector and plot it.

The number of segments composing the polyline is controlled by setting the object resolution.

Parameters:

centerVectorLikeFloat

Location in [x, y, z].

resolutionint, optional

Number of pieces to divide circular arc into. Defaults to number of cells in the input mesh. Must be a positive integer.

normalVectorLikeFloat, optional

The normal vector to the plane of the arc. By default it points in the positive Z direction.

polarVectorLikeFloat, optional

Starting point of the arc in polar coordinates. By default it is the unit vector in the positive x direction.

anglefloat, optional

Arc length (in degrees), beginning at the polar vector. The direction is counterclockwise. By default it is 360.

tolerancefloat, optional

Tolerance used to compute whether a point in the source is in a cell of the input. If not given, tolerance is automatically generated.

progress_barbool, default: False

Display a progress bar to indicate progress.

Returns:

pyvista.PolyData

Sampled Dataset.

Examples

Download Python source code | Download Jupyter notebook

Sample a dataset over a circular arc.

>>> import pyvista as pv
>>> from pyvista import examples
>>> uniform = examples.load_uniform()
>>> uniform['height'] = uniform.points[:, 2]
>>> normal = [0, 0, 1]
>>> polar = [0, 9, 0]
>>> center = [
...     uniform.bounds.x_max,
...     uniform.bounds.y_min,
...     uniform.bounds.z_max,
... ]
>>> arc = uniform.sample_over_circular_arc_normal(
...     center=center, normal=normal, polar=polar
... )
>>> pl = pv.Plotter()
>>> _ = pl.add_mesh(uniform, style='wireframe')
>>> _ = pl.add_mesh(arc, line_width=10)
>>> pl.show_axes()
>>> pl.show()

Static Scene

Interactive Scene