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author | glisse <glisse@636b058d-ea47-450e-bf9e-a15bfbe3eedb> | 2018-02-01 18:19:00 +0000 |
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committer | glisse <glisse@636b058d-ea47-450e-bf9e-a15bfbe3eedb> | 2018-02-01 18:19:00 +0000 |
commit | 24386d494ba4b8bb19b4559f6d2b3e4ecc980571 (patch) | |
tree | f4c1034bd75d6f8a237a4ff7c5f30df6d6732803 /src/Nerve_GIC/example/KeplerMapperVisuFromTxtFile.py | |
parent | d3ff96460cbcd7de4d1f2d03c61e4227dd4c4767 (diff) | |
parent | e15408b4af5cba8966aa8773f6ee6884942c1d95 (diff) |
Merge from trunk.
hand-merge README that moved to *.md.
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/sparserips-glisse@3201 636b058d-ea47-450e-bf9e-a15bfbe3eedb
Former-commit-id: f1922a265c79937e507bbb963875d21fae88069e
Diffstat (limited to 'src/Nerve_GIC/example/KeplerMapperVisuFromTxtFile.py')
-rwxr-xr-x | src/Nerve_GIC/example/KeplerMapperVisuFromTxtFile.py | 72 |
1 files changed, 0 insertions, 72 deletions
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 <http://www.gnu.org/licenses/>. -""" - -__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) |