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Diffstat (limited to 'src/cython/example/persistence_representations_landscapes_example.py')
-rwxr-xr-x | src/cython/example/persistence_representations_landscapes_example.py | 77 |
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) |