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47 lines
1.4 KiB
47 lines
1.4 KiB
# This file is part of MAMMULT: Metrics And Models for Multilayer Networks
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or (at
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# your option) any later version.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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# General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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####
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##
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## Compute the pearson correlation coefficient between the values of
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## node properties included in the two files provided as input.
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##
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import sys
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import numpy
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import scipy.stats
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import math
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if len(sys.argv) < 3:
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print "Usage %s <file1> <file2>" % sys.argv[0]
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sys.exit(1)
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x1 = []
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with open(sys.argv[1], "r") as lines:
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for l in lines:
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elem = [float(x) if "." in x or "e" in x else int(x) for x in l.strip(" \n").split()][0]
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x1.append(elem)
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x2 = []
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with open(sys.argv[2], "r") as lines:
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for l in lines:
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elem = [float(x) if "." in x or "e" in x else int(x) for x in l.strip(" \n").split()][0]
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x2.append(elem)
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r2 =numpy.corrcoef(x1,x2)
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print r2[0][1]
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