plot_eigen_animation

opstool.vis.plotly.plot_eigen_animation(mode_tag, odb_tag=None, n_cycle=5, framerate=3, scale=1.0, solver='-genBandArpack', show_outline=False, show_origin=False, style='surface', show_bc=True, bc_scale=1.0, show_mp_constraint=True, mode='eigen')[source]

Modal animation visualization.

Return type:

Figure

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, the 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.

scale: float, default: 1.0

Zoom the presentation size of the mode shapes.

solverstr, optional,

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

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.

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