1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
|
#!/usr/bin/env python
import gudhi
import argparse
"""This file is part of the Gudhi Library. The Gudhi library
(Geometric Understanding in Higher Dimensions) is a generic C++
library for computational topology.
Author(s): Vincent Rouvreau
Copyright (C) 2016 Inria
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
__author__ = "Vincent Rouvreau"
__copyright__ = "Copyright (C) 2016 Inria"
__license__ = "GPL v3"
parser = argparse.ArgumentParser(description='RipsComplex creation from '
'a distance matrix read in a csv file.',
epilog='Example: '
'example/rips_complex_diagram_persistence_from_distance_matrix_file_example.py '
'-f ../data/distance_matrix/lower_triangular_distance_matrix.csv -e 12.0 -d 3'
'- Constructs a Rips complex with the '
'distance matrix from the given csv file.')
parser.add_argument("-f", "--file", type=str, required=True)
parser.add_argument("-e", "--max_edge_length", type=float, default=0.5)
parser.add_argument("-d", "--max_dimension", type=int, default=1)
parser.add_argument("-b", "--band", type=float, default=0.)
parser.add_argument('--no-diagram', default=False, action='store_true' , help='Flag for not to display the diagrams')
args = parser.parse_args()
print("#####################################################################")
print("RipsComplex creation from distance matrix read in a csv file")
message = "RipsComplex with max_edge_length=" + repr(args.max_edge_length)
print(message)
distance_matrix = gudhi.read_lower_triangular_matrix_from_csv_file(csv_file=args.file)
rips_complex = gudhi.RipsComplex(distance_matrix=distance_matrix, max_edge_length=args.max_edge_length)
simplex_tree = rips_complex.create_simplex_tree(max_dimension=args.max_dimension)
message = "Number of simplices=" + repr(simplex_tree.num_simplices())
print(message)
diag = simplex_tree.persistence()
print("betti_numbers()=")
print(simplex_tree.betti_numbers())
if args.no_diagram == False:
pplot = gudhi.plot_persistence_diagram(diag, band=args.band)
pplot.show()
|
