From 06ff6fac211d2823c7d14a6d2f4a4db03f48d2e3 Mon Sep 17 00:00:00 2001 From: vrouvrea Date: Fri, 26 Jan 2018 14:01:39 +0000 Subject: Seperate installation and examples from main page Move cover complex utilities from examples GIC.cpp example was not compiled, nor tested. It is removed. Persistence representation : no need to link with Boost_SYSTEM git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/trunk@3164 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: cf2bfa6c6de2ed359aaa165b9f80bca7e06defb1 --- .../example/KeplerMapperVisuFromTxtFile.py | 72 ---------------------- 1 file changed, 72 deletions(-) delete mode 100755 src/Nerve_GIC/example/KeplerMapperVisuFromTxtFile.py (limited to 'src/Nerve_GIC/example/KeplerMapperVisuFromTxtFile.py') diff --git a/src/Nerve_GIC/example/KeplerMapperVisuFromTxtFile.py b/src/Nerve_GIC/example/KeplerMapperVisuFromTxtFile.py deleted file mode 100755 index d2897774..00000000 --- a/src/Nerve_GIC/example/KeplerMapperVisuFromTxtFile.py +++ /dev/null @@ -1,72 +0,0 @@ -#!/usr/bin/env python - -import km -import numpy as np -from collections import defaultdict - -"""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" - -network = {} -mapper = km.KeplerMapper(verbose=0) -data = np.zeros((3,3)) -projected_data = mapper.fit_transform( data, projection="sum", scaler=None ) - -f = open('SC.txt','r') -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 - -mapper.visualize(network, color_function = color, path_html="SC.html", 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) -- cgit v1.2.3