Animate_mode is not working as expected

kacper.J

Hi

I ve been recently trying to use functionality of Animate_mode, but tbh i found weird how it works, its producing animation as expected, but only contour plot is changing during animation and mesh is not deformed by field. This should look like that, or i am doing sth wrong?

i used example provided in HELP with added "deform_scale_factor=10"

import ansys.dpf.core as dpf
from ansys.dpf.core import examples
model = dpf.Model(examples.download_modal_frame())
disp = model.results.displacement.on_all_time_freqs.eval()
#Creates an animation from a modal result.

from ansys.dpf.core import animation
animation.animate_mode(disp, mode_number=1, save_as="tmp.gif",deform_scale_factor=10)

M

Known issue. You can check in on progress by checking the github link for the issue: https://github.com/ansys/pydpf-core/issues/1032

kacper.J

@M said:
Known issue. You can check in on progress by checking the github link for the issue: https://github.com/ansys/pydpf-core/issues/1032

thank you M for that response, do you know when possible solution of that issue will be published ?

Landon Mitchell Kanner

Is there any workaround for this issue? Such as converting the displacement to the time domain?

@Ayush Kumar @AKD-Scripting-Team

Ayush Kumar

A pull request exists for the Fix, not aware of any workaround.

https://github.com/ansys/pydpf-core/pull/1696

M

This could be done with the python work around I created for a pymapdl example.
Basically, create a lot of images, use imagio to animate.

import os, webbrowser

import imageio.v2 as imageio
from IPython.display import display, clear_output
subfolder = 'figs'
if subfolder not in os.listdir():
    os.mkdir(subfolder)

picList = []
for ctr in range(10):
    fileName = os.path.join(jobLocation, subfolder , 'file' + str(ctr) + '.jpg')
    picList.append(fileName)
    result.plot_nodal_displacement(0, cpos='xy',off_screen=True,displacement_factor  = ctr*1000,show_displacement = True, show_edges=True, screenshot=fileName)
    clear_output()
myfile = 'myAnime.mp4'

aniSave = os.path.join(jobLocation, myfile)
images = []
for filename in picList:
    images.append(imageio.imread(filename))
imageio.mimsave(aniSave, images)
myfile = 'myAnime.mp4'
writer = imageio.get_writer(myfile, fps=40)

for im in picList:
    writer.append_data(imageio.imread(im))
writer.close()

import webbrowser
webbrowser.open(aniSave)