Meshing on a Manifold¶

In [1]:
import numpy as np
import os
import urllib.request
import pandas as pd
import gstlearn as gl
import plotly.graph_objects as go
import gstlearn.plot3D as gop
import IPython
In [2]:
url = 'https://soft.minesparis.psl.eu/gstlearn/data/Meshings/cow_mesh.txt'
filetri, head = urllib.request.urlretrieve(url)
url = 'https://soft.minesparis.psl.eu/gstlearn/data/Meshings/cow_points.txt'
filepts, head = urllib.request.urlretrieve(url)
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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 ...]
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()
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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()