plot_eigen

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

Modal visualization.

Return type:

Figure

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, the 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.

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

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

fig: plotly.graph_objects.Figure

You can use fig.show() to display, You can also use fig.write_html(“path/to/file.html”) to save as an HTML file, see Interactive HTML Export in Python