plot_eigen_animation

opstool.vis.pyvista.plot_eigen_animation(mode_tag, odb_tag=None, n_cycle=5, framerate=3, savefig='EigenAnimation.gif', off_screen=True, cpos='iso', solver='-genBandArpack', alpha=1.0, mode='eigen', **kargs)

Modal animation visualization.

Return type:

Plotter

Parameters

mode_tag: int

The mode tag to display.

odb_tag: Union[int, str], default: None

Tag of output databases (ODB) to be visualized. If None, data will be saved automatically.

n_cycle: int, default: five

Number of cycles for the display.

framerate: int, default: three

Framerate for the display, i.e., the number of frames per second.

savefig: str, default: EigenAnimation.gif

Path to save the animation. The suffix can be .gif or .mp4.

off_screen: bool, default: True

Whether to display the plotting window. If True, the plotting window will not be displayed.

cpos: str, default: iso

Model display perspective, optional: “iso”, “xy”, “yx”, “xz”, “zx”, “yz”, “zy”. If 3d, defaults to “iso”. If 2d, defaults to “xy”.

solverstr, optional,

OpenSees’ eigenvalue analysis solver, by default “-genBandArpack”.

alpha: float, default: 1.0

Zoom the presentation size of the mode shapes.

mode: str, default: eigen

The type of modal analysis, can be “eigen” or “buckling”. If “eigen”, it will plot the eigenvalues and eigenvectors. If “buckling”, it will plot the buckling factors and modes. Added in v0.1.15.

kargs: dict, optional parameters,

see plot_eigen.

Returns

Plotting object of PyVista to display vtk meshes or numpy arrays. See pyvista.Plotter.

You can use Plotter.show. to display the plotting window.

You can also use Plotter.export_html. to export this plotter as an interactive scene to an HTML file.