plot_eigen

opstool.vis.pyvista.plot_eigen(mode_tags, odb_tag=None, subplots=False, link_views=True, scale=1.0, show_outline=False, show_origin=False, style='surface', cpos='iso', show_bc=True, bc_scale=1.0, show_mp_constraint=True, solver='-genBandArpack', mode='eigen')

Modal visualization.

Return type:

Plotter

Parameters

mode_tags: Union[List, Tuple]

The modal range to visualize, [mode i, mode j].

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

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

subplots: bool, default: False

If True, multiple subplots are used to present mode i to mode j. Otherwise, they are presented as slides.

link_views: bool, default: True

Link the views’ cameras when subplots=True.

scale: float, default: 1.0

Zoom the presentation size of the mode shapes.

show_outline: bool, default: False

Whether to display the outline of the model.

show_origin: bool, default: False

Whether to show the undeformed shape.

style: str, default: surface

Visualization the mesh style of surfaces and solids. One of the following: style=’surface’, style=’wireframe’, style=’points’, style=’points_gaussian’. Defaults to ‘surface’. Note that ‘wireframe’ only shows a wireframe of the outer geometry.

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”.

show_bc: bool, default: True

Whether to display boundary supports.

bc_scale: float, default: 1.0

Scale the size of boundary support display.

show_mp_constraint: bool, default: True

Whether to show multipoint (MP) constraint.

solverstr, optional,

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

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.

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.