summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorglisse <glisse@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-09-10 09:29:57 +0000
committerglisse <glisse@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-09-10 09:29:57 +0000
commit4bf56301ea1aa0c43855bea88344c80db237adbb (patch)
tree190cb51ddc8f55a74cc82b0ce6d59c9f8ce03270
parent629a456684e9bbf4c2ef5dbfefebe85e9c04a39d (diff)
sparse rips example
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/sparserips-python@3880 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 8dfc1b3218d3ac3e97a04bf25e59e2d48fc8db1d
-rwxr-xr-xsrc/cython/example/sparse_rips_persistence_diagram.py43
1 files changed, 43 insertions, 0 deletions
diff --git a/src/cython/example/sparse_rips_persistence_diagram.py b/src/cython/example/sparse_rips_persistence_diagram.py
new file mode 100755
index 00000000..3bed87c1
--- /dev/null
+++ b/src/cython/example/sparse_rips_persistence_diagram.py
@@ -0,0 +1,43 @@
+#!/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) 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__ = "Marc Glisse"
+__copyright__ = "Copyright (C) 2016 Inria"
+__license__ = "GPL v3"
+
+print("#####################################################################")
+print("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()