SBR+: HFSS to SBR+ time animation#

This example shows how you can use PyAEDT to create an SBR+ time animation and save it to a GIF file. This example works only on CPython.

Perform required imports.#

Perform required imports.

import os
from pyaedt import Hfss, downloads

Set non-graphical mode#

Set non-graphical mode. You can set non_graphical either to True or False.

non_graphical = False

Launch AEDT and load project#

Launch AEDT and load the project.

project_file = downloads.download_sbr_time()

hfss = Hfss(projectname=project_file, specified_version="2023.2", non_graphical=non_graphical, new_desktop_session=True)

hfss.analyze()
Initializing new desktop!
C:\actions-runner\_work\_tool\Python\3.10.5\x64\lib\subprocess.py:1070: ResourceWarning: subprocess 10300 is still running
  _warn("subprocess %s is still running" % self.pid,

True

Get solution data#

Get solution data. After simulation is performed, you can load solutions in the solution_data object.

solution_data = hfss.post.get_solution_data(expressions=["NearEX", "NearEY", "NearEZ"],
                                            variations={"_u": ["All"], "_v": ["All"], "Freq": ["All"]},
                                            context="Near_Field",
                                            report_category="Near Fields")

Compute IFFT#

Compute IFFT (Inverse Fast Fourier Transform).

t_matrix = solution_data.ifft("NearE", window=True)

Export IFFT to CSV file#

Export IFFT to a CSV file.

frames_list_file = solution_data.ifft_to_file(coord_system_center=[-0.15, 0, 0], db_val=True,
                                              csv_dir=os.path.join(hfss.working_directory, "csv"))

Plot scene#

Plot the scene to create the time plot animation

hfss.post.plot_scene(frames_list=frames_list_file,
                     output_gif_path=os.path.join(hfss.working_directory, "animation.gif"),
                     norm_index=15,
                     dy_rng=35,
                     show=False, view="xy", zoom=1)

hfss.release_desktop()
SBR Time Plot
True

Total running time of the script: (2 minutes 57.092 seconds)

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