Meshing on a Manifold¶

In [1]:
import numpy as np
import os
import pandas as pd
import gstlearn as gl
import gstlearn.document as gdoc
import plotly.graph_objects as go
import gstlearn.plot3D as gop
import IPython
In [2]:
filetri = gdoc.loadData("Meshings", "cow_mesh.txt")
filepts = gdoc.loadData("Meshings", "cow_points.txt")
In [3]:
csv = gl.CSVformat(False, 0, ' ', '.')
In [4]:
triangles = pd.read_csv(filetri,header=None,sep=" ").values
points = pd.read_csv(filepts,header=None,sep=" ").values
In [5]:
cow = gop.Scatter(points[:,0],points[:,1],points[:,2],mode='markers',m_size=0.3)
cow['x'].tolist()
cow['y'].tolist()
cow['z'].tolist()
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 0.0258931,
 0.0448664,
 0.0981021,
 0.0353559,
 0.0768666,
 ...]
In [6]:
fig = go.Figure(data = [cow])
fig = fig.update_scenes(xaxis_visible=False, yaxis_visible=False, zaxis_visible=False )
fig = fig.show()
In [7]:
simu = gop.ScatterOnMesh(points, triangles)
simu['x'].tolist()
simu['y'].tolist()
simu['z'].tolist()
Out[7]:
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 ...]
In [8]:
fig = go.Figure(data = [simu])
fig = fig.update_scenes(xaxis_visible=False, yaxis_visible=False, zaxis_visible=False )
fig = fig.show()