33 lines
530 B
Python
33 lines
530 B
Python
import file_load
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import json
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import os
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import numpy
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# file_load.make_data()
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similarity = file_load.similarity()
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corelation = file_load.corelation()
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table = {}
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for i in corelation:
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table[i["from"],i["to"]]=i["psr"]
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x=[]
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y=[]
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for i in similarity:
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x.append(abs(table[i["from"],i["to"]]))
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y.append(i["similarity"])
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print(numpy.corrcoef(x,y)[0,1])
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s="similarity, corelation\n"
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for i in similarity:
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s+=str(i["similarity"])+','+str(table[i["from"],i["to"]])+'\n'
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with open("Temp/point.csv","w") as point:
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point.write(s)
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