#!/usr/bin/env python

import numpy as np
import gudhi as gd
points = gd.read_points_from_off_file(off_file = '../../data/points/tore3D_1307.off')
ac = gd.AlphaComplex(points = points)
st = ac.create_simplex_tree()
points = np.array([ac.get_point(i) for i in range(st.num_vertices())])
# We want to plot the alpha-complex with alpha=0.1.
# We are only going to plot the triangles
triangles = np.array([s[0] for s in st.get_skeleton(2) if len(s[0])==3 and s[1] <= .1])

# First possibility: plotly
import plotly.graph_objects as go
fig = go.Figure(data=[
    go.Mesh3d(
        x=points[:,0],
        y=points[:,1],
        z=points[:,2],
        i = triangles[:,0],
        j = triangles[:,1],
        k = triangles[:,2],
    )
])
fig.show()

# Second possibility: matplotlib
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.gca(projection='3d')
ax.plot_trisurf(points[:,0], points[:,1], points[:,2], triangles=triangles)
plt.show()

# Third possibility: mayavi
from mayavi import mlab
mlab.triangular_mesh(points[:,0], points[:,1], points[:,2], triangles);
mlab.show()