Aggregate Warpage

# pylint: disable=pointless-statement
from pathlib import Path
import numpy as np
from mesh2vec.mesh2vec_cae import Mesh2VecCae

Load Shell from ANSA, simulation results from d3plot

hg = Mesh2VecCae.from_ansa_shell(
    3,
    Path("../../data/hat/Hatprofile.k"),
    json_mesh_file=Path("../../data/hat/cached_hat_key.json"),
)

Plot Feature locally

hg.add_features_from_ansa(
    ["warpage"],
    Path("../../data/hat/Hatprofile.k"),
    json_mesh_file=Path("../../data/hat/cached_hat_key.json"),
)
name = hg.aggregate("warpage", 0, np.nanmean)
fig = hg.get_visualization_plotly(str(name))
fig.update_layout(title=name[0])
fig

Aggregate Feature and plot

name = hg.aggregate("warpage", 3, np.nanmean)
fig = hg.get_visualization_plotly(str(name))
fig.update_layout(title=name)
fig

Access the results

hg.to_dataframe()

	vtx_id	warpage-nanmean-0	warpage-nanmean-3
0	4700000	0.000000	0.000000
1	4700001	0.000000	0.000000
2	4700002	0.000000	0.000000
3	4700003	0.000034	0.005791
4	4700004	0.000008	0.000726
...	...	...	...
6395	2002173	0.000000	0.000000
6396	2002174	0.000000	0.000000
6397	2002175	0.000000	0.000000
6398	2002176	0.000000	0.000000
6399	2002177	0.000000	0.000000

6400 rows × 3 columns