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authorvrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-11-14 07:10:50 +0000
committervrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-11-14 07:10:50 +0000
commitbf7fcb97a34875107bf249c3d0c42cb3b1b27544 (patch)
treee7ec1bf9cced8234012ed8f4aa931bc6f268bcbf /src/cython/example/sparse_rips_persistence_diagram.py
parent5f4229227fe747ce08b1f296596343d9fdf79535 (diff)
parent65d609bbf5d688552ad0f5535b6c42abffe27a1f (diff)
Merge last trunk modifications
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/simplex_tree_fix_vincent@3976 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: b246c9007b06ed57d59dc1d18b02262d9c765fb9
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diff --git a/src/cython/example/sparse_rips_persistence_diagram.py b/src/cython/example/sparse_rips_persistence_diagram.py
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+#!/usr/bin/env python
+
+import gudhi
+
+"""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): Marc Glisse
+
+ Copyright (C) 2018 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__ = "Marc Glisse"
+__copyright__ = "Copyright (C) 2018 Inria"
+__license__ = "GPL v3"
+
+print("#####################################################################")
+print("Sparse RipsComplex creation from points")
+rips = gudhi.RipsComplex(points=[[0, 0], [0, 0.1], [1, 0], [0, 1], [1, 1]],
+ max_edge_length=42, sparse=.5)
+
+simplex_tree = rips.create_simplex_tree(max_dimension=2)
+
+
+diag = simplex_tree.persistence(homology_coeff_field=2, min_persistence=0)
+print("diag=", diag)
+
+pplot = gudhi.plot_persistence_diagram(diag)
+pplot.show()