diff options
Diffstat (limited to 'src/cython/example/witness_complex_from_file_example.py')
-rwxr-xr-x | src/cython/example/witness_complex_from_file_example.py | 56 |
1 files changed, 0 insertions, 56 deletions
diff --git a/src/cython/example/witness_complex_from_file_example.py b/src/cython/example/witness_complex_from_file_example.py deleted file mode 100755 index 82a5b49a..00000000 --- a/src/cython/example/witness_complex_from_file_example.py +++ /dev/null @@ -1,56 +0,0 @@ -#!/usr/bin/env python - -import gudhi -import pandas -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" - -print("#####################################################################") -print("WitnessComplex creation from points read in a file") - -parser = argparse.ArgumentParser(description='WitnessComplex creation from ' - 'points read in a file.', - epilog='Example: ' - 'example/witness_complex_from_file_example.py' - ' data/2000_random_points_on_3D_Torus.csv ' - '- Constructs a witness complex with the ' - 'points from the given file. File format ' - 'is X1, X2, ..., Xn') -parser.add_argument('file', type=argparse.FileType('r')) -args = parser.parse_args() - -points = pandas.read_csv(args.file, header=None) - -print("WitnessComplex with number_of_landmarks=100") - -witness_complex = gudhi.WitnessComplex(points=points.values, - number_of_landmarks=100) - -witness_complex.initialize_filtration() - -print("filtered_tree=", witness_complex.get_filtered_tree()) |