1 files changed, 77 insertions, 0 deletions
diff --git a/src/cython/example/persistence_representations_landscapes_example.py b/src/cython/example/persistence_representations_landscapes_example.py
new file mode 100755
index 00000000..d2b7b393
--- /dev/null
+++ b/src/cython/example/persistence_representations_landscapes_example.py
@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+
+import gudhi
+from libcpp.vector cimport vector
+from libcpp.utility cimport pair
+
+
+"""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):       Pawel Dlotko
+
+   Copyright (C) 2017 Swansea University
+
+   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__ = "Pawel Dlotko"
+__copyright__ = "Copyright (C) 2017 Swansea University"
+__license__ = "GPL v3"
+
+print("#####################################################################")
+print("Persistence representations landscapes example")
+
+persistence1 = vector[pair[double, double]]
+persistence2 = vector[pair[double, double]]
+
+persistence1.push_back(make_pair(1, 2))
+persistence1.push_back(make_pair(6, 8))
+persistence1.push_back(make_pair(0, 4))
+persistence1.push_back(make_pair(3, 8))
+
+persistence2.push_back(make_pair(2, 9))
+persistence2.push_back(make_pair(1, 6))
+persistence2.push_back(make_pair(3, 5))
+persistence2.push_back(make_pair(6, 10))
+
+#create two persistence landscapes based on persistence1 and persistence2:
+l1 = gudhi.Persistence_landscape(persistence1)
+l2 = gudhi.Persistence_landscape(persistence2)
+
+#This is how to compute integral of landscapes:
+print "Integral of the first landscape : ", l1.compute_integral_of_landscape()
+print "Integral of the second landscape : ", l2.compute_integral_of_landscape()
+
+#Arithmetic operations on landscapes:
+sum_ = l1 + l2;  
+
+#here are the maxima of the functions:
+print "Maximum of l1 : ", l1.compute_maximum()
+print "Maximum of l2 : ", l2.compute_maximum()
+
+#here are the norms of landscapes:
+print "L^1 Norm of l1 : ", l1.compute_norm_of_landscape(1.)
+print "L^1 Norm of l2 : ", l2.compute_norm_of_landscape(1.)
+
+#here is the average of landscapes:
+average = Persistence_landscape
+average.compute_average({l1, l2});  
+
+#here is the distance of landscapes:
+print "Distance : ", l1.distance(l2)
+
+#here is the scalar product of landscapes:
+print "Scalar product : ", l1.compute_scalar_product(l2)