anim_defo

opsvis.anim_defo(Eds, timeV, sfac, nep=17, unDefoFlag=1, fmt_defo={'color': 'blue', 'linestyle': 'solid', 'linewidth': 1.2, 'marker': '', 'markersize': 1}, fmt_undefo={'color': 'green', 'linestyle': (0, (1, 5)), 'linewidth': 1.2, 'marker': '', 'markersize': 1}, interpFlag=1, endDispFlag=1, az_el=(-60.0, 30.0), fig_wi_he=False, fig_lbrt=False, xlim=[0, 1], ylim=[0, 1], ax=False)[source]

Make animation of the deformed shape computed by transient analysis

Parameters:

Eds (ndarray) – A 3d array (n_steps x n_eles x n_dof_per_element) containing the collected displacements per element for all time steps.
timeV (1darray) – vector of discretized time values
sfac (float) – scale factor
nep (integer) – number of evaluation points inside the element and including both element ends
unDefoFlag (integer) – 1 - plot the undeformed model (mesh), 0 - do not plot the mesh
interpFlag (integer) – 1 - interpolate deformation inside element, 0 - no interpolation
endDispFlag (integer) – 1 - plot marks at element ends, 0 - no marks
fmt_defo (dict) – format line string for interpolated (continuous) deformated shape. The format contains information on line color, style and marks as in the standard matplotlib plot function.
az_el (tuple) – a tuple containing the azimuth and elevation
fig_lbrt (tuple) – a tuple contating left, bottom, right and top offsets
fig_wi_he (tuple) – contains width and height of the figure

Examples:

Notes: