Change the output in the statistical distribution that best fits

377528e5 · panos · Jérome Perrin · bd67c7cf · 377528e5
Commit 377528e5 authored Mar 20, 2014 by panos Committed by Jérome Perrin Mar 20, 2014
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Showing with 10 additions and 4 deletions

dream/KnowledgeExtraction/ExcelOutput.py dream/KnowledgeExtraction/ExcelOutput.py +10 -4

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--- a/dream/KnowledgeExtraction/ExcelOutput.py
+++ b/dream/KnowledgeExtraction/ExcelOutput.py
@@ -235,9 +235,15 @@ class Output(BasicStatisticalMeasures,DistFittest):
        ###BestDistributionFit###
        A=self.ks_test(data)
        sheet2.write(14,14,(A.get('distributionType')))
-        sheet2.write(14,15,(A.get('aParameter')))
+        if A['distributionType']=='Normal':
-        sheet2.write(14,16,(A.get('bParameter')))
+            del A['min']
-        sheet2.write(15,15,(A.get('aParameterValue')))
+            del A['max']
-        sheet2.write(15,16,(A.get('bParameterValue')))
+            del A['distributionType']
+        else:
+            del A['distributionType']
+        sheet2.write(14,15,(A.keys()[0]))
+        sheet2.write(14,16,(A.keys()[1]))
+        sheet2.write(15,15,(A.values()[0]))
+        sheet2.write(15,16,(A.values()[1]))
        book.save(fileName)    #Save the excel document