From 9899ae167f281d10b1684dfcd02c6838c5bf28df Mon Sep 17 00:00:00 2001 From: Gard Spreemann Date: Fri, 2 Feb 2018 13:51:45 +0100 Subject: GUDHI 2.1.0 as released by upstream in a tarball. --- utilities/Nerve_GIC/KeplerMapperVisuFromTxtFile.py | 89 ++++++++++++++++++++++ 1 file changed, 89 insertions(+) create mode 100755 utilities/Nerve_GIC/KeplerMapperVisuFromTxtFile.py (limited to 'utilities/Nerve_GIC/KeplerMapperVisuFromTxtFile.py') diff --git a/utilities/Nerve_GIC/KeplerMapperVisuFromTxtFile.py b/utilities/Nerve_GIC/KeplerMapperVisuFromTxtFile.py new file mode 100755 index 00000000..c811f610 --- /dev/null +++ b/utilities/Nerve_GIC/KeplerMapperVisuFromTxtFile.py @@ -0,0 +1,89 @@ +#!/usr/bin/env python + +import km +import numpy as np +from collections import defaultdict +import argparse + +"""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): Mathieu Carriere + + Copyright (C) 2017 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 . +""" + +__author__ = "Mathieu Carriere" +__copyright__ = "Copyright (C) 2017 INRIA" +__license__ = "GPL v3" + +parser = argparse.ArgumentParser(description='Creates an html Keppler Mapper ' + 'file to visualize a SC.txt file.', + epilog='Example: ' + './KeplerMapperVisuFromTxtFile.py ' + '-f ../../data/points/human.off_sc.txt' + '- Constructs an human.off_sc.html file.') +parser.add_argument("-f", "--file", type=str, required=True) + +args = parser.parse_args() + +with open(args.file, 'r') as f: + network = {} + mapper = km.KeplerMapper(verbose=0) + data = np.zeros((3,3)) + projected_data = mapper.fit_transform( data, projection="sum", scaler=None ) + + nodes = defaultdict(list) + links = defaultdict(list) + custom = defaultdict(list) + + dat = f.readline() + lens = f.readline() + color = f.readline(); + param = [float(i) for i in f.readline().split(" ")] + + nums = [int(i) for i in f.readline().split(" ")] + num_nodes = nums[0] + num_edges = nums[1] + + for i in range(0,num_nodes): + point = [float(j) for j in f.readline().split(" ")] + nodes[ str(int(point[0])) ] = [ int(point[0]), point[1], int(point[2]) ] + links[ str(int(point[0])) ] = [] + custom[ int(point[0]) ] = point[1] + + m = min([custom[i] for i in range(0,num_nodes)]) + M = max([custom[i] for i in range(0,num_nodes)]) + + for i in range(0,num_edges): + edge = [int(j) for j in f.readline().split(" ")] + links[ str(edge[0]) ].append( str(edge[1]) ) + links[ str(edge[1]) ].append( str(edge[0]) ) + + network["nodes"] = nodes + network["links"] = links + network["meta"] = lens + + html_output_filename = args.file.rsplit('.', 1)[0] + '.html' + mapper.visualize(network, color_function = color, path_html=html_output_filename, title=dat, + graph_link_distance=30, graph_gravity=0.1, graph_charge=-120, custom_tooltips=custom, width_html=0, + height_html=0, show_tooltips=True, show_title=True, show_meta=True, res=param[0],gain=param[1], minimum=m,maximum=M) + message = repr(html_output_filename) + " is generated. You can now use your favorite web browser to visualize it." + print(message) + + + f.close() -- cgit v1.2.3