Aggregate Number of Borders Categorical

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

Load Shell and features from ANSA

hg = Mesh2VecCae.from_ansa_shell(
    2,
    Path("../../data/hat/Hatprofile.k"),
    json_mesh_file=Path("../../data/hat/cached_hat_key.json"),
)
hg.add_features_from_ansa(
    ["num_border", "is_tria", "midpoint"],
    ansafile=None,
)

['num_border', 'is_tria', 'midpoint']

Plot Feature locally

name = hg.aggregate("num_border", 0, np.mean)
fig = hg.get_visualization_plotly(str(name))
fig.update_layout(title=name)
fig

Aggregate Feature and plot

names = hg.aggregate_categorical("num_border", 1)
NAME = "num_border-cat-1-1"
fig = hg.get_visualization_plotly(str(name))
fig.update_layout(title=NAME)
fig

Access the results

hg.to_dataframe()

	vtx_id	num_border-mean-0	num_border-cat-0-1	num_border-cat-1-1	num_border-cat-2-1
0	4700000	0	8	0	0
1	4700001	0	8	0	0
2	4700002	0	8	0	0
3	4700003	0	8	0	0
4	4700004	0	8	0	0
...	...	...	...	...	...
6395	2002173	0	8	0	0
6396	2002174	0	8	0	0
6397	2002175	0	8	0	0
6398	2002176	0	8	0	0
6399	2002177	0	8	0	0

6400 rows × 5 columns