pyvista.DataSetFilters.plot_over_circular_arc_normal#
- DataSetFilters.plot_over_circular_arc_normal(
- center,
- resolution=None,
- normal=None,
- polar=None,
- angle=None,
- scalars=None,
- title=None,
- ylabel=None,
- figsize=None,
- figure=True,
- show=True,
- tolerance=None,
- fname=None,
- progress_bar=False,
Sample a dataset along a resolution circular arc defined by a normal and polar vector and plot it.
Plot the variables of interest in 2D where the X-axis is distance from Point A and the Y-axis is the variable of interest. Note that this filter returns
None.- Parameters:
- centersequence[
int] Location in
[x, y, z].- resolution
int,optional Number of pieces to divide circular arc into. Defaults to number of cells in the input mesh. Must be a positive integer.
- normalsequence[
float],optional The normal vector to the plane of the arc. By default it points in the positive Z direction.
- polarsequence[
float],optional Starting point of the arc in polar coordinates. By default it is the unit vector in the positive x direction.
- angle
float,optional Arc length (in degrees), beginning at the polar vector. The direction is counterclockwise. By default it is 360.
- scalars
str,optional The string name of the variable in the input dataset to probe. The active scalar is used by default.
- title
str,optional The string title of the matplotlib figure.
- ylabel
str,optional The string label of the Y-axis. Defaults to variable name.
- figsize
tuple(int),optional The size of the new figure.
- figurebool,
optional Flag on whether or not to create a new figure.
- showbool, default:
True Shows the matplotlib figure.
- tolerance
float,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.
- fname
str,optional Save the figure this file name when set.
- progress_barbool, default:
False Display a progress bar to indicate progress.
- centersequence[
Examples
Sample a dataset along a high resolution circular arc and plot.
>>> from pyvista import examples >>> mesh = examples.load_uniform() >>> normal = normal = [0, 0, 1] >>> polar = [0, 9, 0] >>> angle = 90 >>> center = [mesh.bounds[0], mesh.bounds[2], mesh.bounds[4]] >>> mesh.plot_over_circular_arc_normal( ... center, polar=polar, angle=angle ... )