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-rw-r--r--src/Persistence_representations/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp65
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diff --git a/src/Persistence_representations/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Persistence_representations/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp
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+++ b/src/Persistence_representations/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp
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+/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+ * See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+ * Author(s): Pawel Dlotko
+ *
+ * Copyright (C) 2016 Inria
+ *
+ * Modification(s):
+ * - YYYY/MM Author: Description of the modification
+ */
+
+#include <gudhi/Persistence_intervals.h>
+
+#include <iostream>
+#include <vector>
+#include <limits>
+#include <utility>
+
+using Persistence_intervals = Gudhi::Persistence_representations::Persistence_intervals;
+
+int main(int argc, char** argv) {
+ std::cout << "This program computes a histogram of barcode's length. A number of bins in the histogram is a "
+ << "parameter of this program. \n";
+ if ((argc != 3) && (argc != 4)) {
+ std::cout << "To run this program, please provide the name of a file with persistence diagram and number of "
+ << "dominant intervals you would like to get. Set a negative number dominant intervals value "
+ << "If your file contains only birth-death pairs.\n"
+ << "The third parameter is the dimension of the persistence that is to be used. If your "
+ << "file contains only birth-death pairs, you can skip this parameter\n";
+ return 1;
+ }
+
+ unsigned dominant_interval_number = std::numeric_limits<unsigned>::max();
+ int nbr = atoi(argv[2]);
+ if (nbr >= 0) {
+ dominant_interval_number = static_cast<unsigned>(nbr);
+ }
+
+ int persistence_dimension = -1;
+ if (argc == 4) {
+ persistence_dimension = atoi(argv[3]);
+ }
+
+ Persistence_intervals p(argv[1], dominant_interval_number);
+ std::vector<std::pair<double, double> > dominant_intervals = p.dominant_intervals(persistence_dimension);
+ std::vector<size_t> histogram = p.histogram_of_lengths(10);
+
+ std::stringstream gnuplot_script;
+ gnuplot_script << argv[1] << "_GnuplotScript";
+ std::ofstream out;
+ out.open(gnuplot_script.str().c_str());
+
+ out << "set style data histogram" << std::endl;
+ out << "set style histogram cluster gap 1" << std::endl;
+ out << "set style fill solid border -1" << std::endl;
+ out << "plot '-' notitle" << std::endl;
+ for (size_t i = 0; i != histogram.size(); ++i) {
+ out << histogram[i] << std::endl;
+ }
+ out << std::endl;
+ out.close();
+
+ std::cout << "To visualize, install gnuplot and type the command: gnuplot -persist -e \"load \'"
+ << gnuplot_script.str().c_str() << "\'\"" << std::endl;
+ return 0;
+}