plot_model

opstool.vis.plotly.plot_model(odb_tag=None, show_node_numbering=False, show_ele_numbering=False, show_ele_hover=True, style='surface', color=None, show_bc=True, bc_scale=1.0, show_link=True, show_mp_constraint=True, show_constraint_dofs=False, show_nodal_loads=False, show_ele_loads=False, load_scale=1.0, show_local_axes=False, local_axes_scale=1.0, show_outline=True)

Geometric model visualization based on plotly.

Return type:

Figure

Parameters

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

Tag of output databases (ODB) to be visualized. If None, data will be extracted from the current running memory..

show_node_numbering: bool, default: False

Whether to display node tag labels.

show_ele_numbering: bool, default: False

Whether to display element tag labels.

show_ele_hover: bool, default: True

Whether to display element tag labels when hovering over the element.

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.

color: str, default: black

Model display color.

show_bc: bool, default: True

Whether to display boundary supports.

bc_scale: float, default: 1.0

Scale the size of boundary support display.

show_link: bool, default: True

Whether to show link elements.

show_mp_constraint: bool, default: True

Whether to show multipoint (MP) constraint.

show_constraint_dofs: bool, default: False

Whether to show dofs of mp-constraints.

show_nodal_loads: bool, default: False

Whether to show nodal loads.

show_ele_loads: bool, default: False

Whether to show element loads.

load_scale: float, default: 1.0

Scale the size of load arrow presentation.

show_local_axes: bool, default: False

Whether to display element local axes, including beam-column, link, and shell elements.

local_axes_scale: float, default: 1.0

Scales the presentation size of the local axes.

show_outline: bool, default: False

Whether to display the outline of the model.

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