Change the formation of the output spreadsheets

dream/KnowledgeExtraction/ExcelOutput.py

@@ -39,70 +39,70 @@ class ExcelOutput(StatisticalMeasures,DistFittest):
         
         ###Give names to cells###
         sheet1.write(0,0,('Dataset statistical measures'))
-        sheet1.write(3,0,('Length'))
-        
-        sheet1.write(4,0,('Summary'))
-        sheet1.write(4,1,('Min'))
-        sheet1.write(4,2,('1st Qu.'))
-        sheet1.write(4,3,('Median'))
-        sheet1.write(4,4,('Mean'))
-        sheet1.write(4,5,('3rd Qu.'))
-        sheet1.write(4,6,('Max'))
-        
-        sheet1.write(0,9,('Data points'))
-        
-        sheet1.write(10,0,('Quantile'))
-        sheet1.write(10,1,('0%'))
-        sheet1.write(10,2,('25%'))
-        sheet1.write(10,3,('50%'))
-        sheet1.write(10,4,('75%'))
-        sheet1.write(10,5,('100%'))
-        
-        sheet1.write(12,0,('Mean'))
-        sheet1.write(13,0,('Variance'))
-        sheet1.write(14,0,('Standard deviation'))
-        sheet1.write(16,0,('Range'))
-        sheet1.write(17,0,('Interquartile Range'))
+        sheet1.write(3,1,('Length'))
+        
+        sheet1.write(4,1,('Summary'))
+        sheet1.write(4,2,('Min'))
+        sheet1.write(4,3,('1st Qu.'))
+        sheet1.write(4,4,('Median'))
+        sheet1.write(4,5,('Mean'))
+        sheet1.write(4,6,('3rd Qu.'))
+        sheet1.write(4,7,('Max'))
+        
+        sheet1.write(1,0,('Data points'))
+        
+        sheet1.write(10,1,('Quantile'))
+        sheet1.write(10,2,('0%'))
+        sheet1.write(10,3,('25%'))
+        sheet1.write(10,4,('50%'))
+        sheet1.write(10,5,('75%'))
+        sheet1.write(10,6,('100%'))
+        
+        sheet1.write(12,1,('Mean'))
+        sheet1.write(13,1,('Variance'))
+        sheet1.write(14,1,('Standard deviation'))
+        sheet1.write(16,1,('Range'))
+        sheet1.write(17,1,('Interquartile Range'))
         
         ###Length###
-        sheet1.write(3,1,(self.length(data)))
+        sheet1.write(3,2,(self.length(data)))
         
         ###Summary###
-        sheet1.write(5,1,(self.summary(data)[0]))
-        sheet1.write(5,2,(self.summary(data)[1]))
-        sheet1.write(5,3,(self.summary(data)[2])) 
-        sheet1.write(5,4,(self.summary(data)[3]))
-        sheet1.write(5,5,(self.summary(data)[4]))
-        sheet1.write(5,6,(self.summary(data)[5]))
+        sheet1.write(5,2,(self.summary(data)[0]))
+        sheet1.write(5,3,(self.summary(data)[1]))
+        sheet1.write(5,4,(self.summary(data)[2])) 
+        sheet1.write(5,5,(self.summary(data)[3]))
+        sheet1.write(5,6,(self.summary(data)[4]))
+        sheet1.write(5,7,(self.summary(data)[5]))
                
         ###Dataset###
         i=0
         while (i<self.length(data)):
-            sheet1.write(i+1,9,((data[i])))
+            sheet1.write(i+2,0,((data[i])))
             i=i+1
                
         ###Quantselfles###
-        sheet1.write(11,1,(self.quantile(data)[0]))
-        sheet1.write(11,2,(self.quantile(data)[1]))
-        sheet1.write(11,3,(self.quantile(data)[2]))
-        sheet1.write(11,4,(self.quantile(data)[3]))
-        sheet1.write(11,5,(self.quantile(data)[4]))
+        sheet1.write(11,2,(self.quantile(data)[0]))
+        sheet1.write(11,3,(self.quantile(data)[1]))
+        sheet1.write(11,4,(self.quantile(data)[2]))
+        sheet1.write(11,5,(self.quantile(data)[3]))
+        sheet1.write(11,6,(self.quantile(data)[4]))
         
         ###Mean###
-        sheet1.write(12,1,(self.mean(data)))
+        sheet1.write(12,2,(self.mean(data)))
         
         ###Varselfance####
-        sheet1.write(13,1,(self.var(data)))
+        sheet1.write(13,2,(self.var(data)))
         
         ###Standard devselfatselfon###
-        sheet1.write(14,1,(self.sd(data)))
+        sheet1.write(14,2,(self.sd(data)))
         
         ###Range###
-        sheet1.write(16,1,(self.range(data)[0]))
-        sheet1.write(16,2,(self.range(data)[1]))
+        sheet1.write(16,2,(self.range(data)[0]))
+        sheet1.write(16,3,(self.range(data)[1]))
         
         ###selfnterquartselfle Range###
-        sheet1.write(17,1,(self.IQR(data)))
+        sheet1.write(17,2,(self.IQR(data)))
         book.save(fileName)  #Save the excel document 
         
     
@@ -114,67 +114,67 @@ class ExcelOutput(StatisticalMeasures,DistFittest):
         sheet2 = book.add_sheet('Distribution Fitting', cell_overwrite_ok=True)
         
         ###Give names to cells###
-        sheet2.write(0,0,('DistributionFit'))
+        sheet2.write(0,0,('Distribution Fitting'))
         sheet2.write(1,0,('data points'))
         
         
         sheet2.write(3,1,('Discrete distributions'))
-        sheet2.write(3,8,('Kolmogorov-Smirnov test'))
-        sheet2.write(12,14,('Best distribution fitting'))
+        sheet2.write(2,4,('Kolmogorov-Smirnov test'))
+        sheet2.write(12,11,('Best fitted distribution'))
         
-        sheet2.write(8,1,('Poisson'))
-        sheet2.write(8,2,('lambda'))
-        sheet2.write(8,6,('D-statistic'))
-        sheet2.write(8,8,('p-value'))
+        sheet2.write(4,1,('Poisson'))
+        sheet2.write(4,2,('lambda'))
+        sheet2.write(4,6,('D-statistic'))
+        sheet2.write(4,8,('p-value'))
         
-        sheet2.write(11,1,('Geometric'))
-        sheet2.write(11,2,('probability'))
+        sheet2.write(7,1,('Geometric'))
+        sheet2.write(7,2,('probability'))
+        sheet2.write(7,6,('D-statistic'))
+        sheet2.write(7,8,('p-value'))
+        
+        sheet2.write(10,1,('Continuous distributions'))
+        
+        sheet2.write(11,1,('Normal'))
+        sheet2.write(11,2,('mean'))
+        sheet2.write(11,3,('standard deviation'))
         sheet2.write(11,6,('D-statistic'))
         sheet2.write(11,8,('p-value'))
         
-        sheet2.write(15,1,('Continuous distributions'))
+        sheet2.write(14,1,('Exponential'))
+        sheet2.write(14,2,('rate'))
+        sheet2.write(14,6,('D-statistic'))
+        sheet2.write(14,8,('p-value'))
         
-        sheet2.write(17,1,('Normal'))
-        sheet2.write(17,2,('mean'))
-        sheet2.write(17,3,('standard deviation'))
+        sheet2.write(17,1,('Gamma'))
+        sheet2.write(17,2,('shape'))
+        sheet2.write(17,3,('rate'))
         sheet2.write(17,6,('D-statistic'))
         sheet2.write(17,8,('p-value'))
         
-        sheet2.write(21,1,('Exponential'))
-        sheet2.write(21,2,('rate'))
-        sheet2.write(21,6,('D-statistic'))
-        sheet2.write(21,8,('p-value'))
-        
-        sheet2.write(25,1,('Gamma'))
-        sheet2.write(25,2,('shape'))
-        sheet2.write(25,3,('rate'))
-        sheet2.write(25,6,('D-statistic'))
-        sheet2.write(25,8,('p-value'))
-        
-        sheet2.write(29,1,('Lognormal'))
-        sheet2.write(29,2,('log mean'))
-        sheet2.write(29,3,('log standard deviation'))
+        sheet2.write(20,1,('Lognormal'))
+        sheet2.write(20,2,('log mean'))
+        sheet2.write(20,3,('log standard deviation'))
+        sheet2.write(20,6,('D-statistic'))
+        sheet2.write(20,8,('p-value'))
+        
+        sheet2.write(23,1,('Weibull'))
+        sheet2.write(23,2,('shape'))
+        sheet2.write(23,3,('scale'))
+        sheet2.write(23,6,('D-statistic'))
+        sheet2.write(23,8,('p-value'))
+        
+        sheet2.write(26,1,('Logistic'))
+        sheet2.write(26,2,('location'))
+        sheet2.write(26,3,('scale'))
+        sheet2.write(26,6,('D-statistic'))
+        sheet2.write(26,8,('p-value'))
+        
+        sheet2.write(29,1,('Cauchy'))
+        sheet2.write(29,2,('location'))
+        sheet2.write(29,3,('scale'))
         sheet2.write(29,6,('D-statistic'))
         sheet2.write(29,8,('p-value'))
         
-        sheet2.write(33,1,('Weibull'))
-        sheet2.write(33,2,('shape'))
-        sheet2.write(33,3,('scale'))
-        sheet2.write(33,6,('D-statistic'))
-        sheet2.write(33,8,('p-value'))
-        
-        sheet2.write(37,1,('Logistic'))
-        sheet2.write(37,2,('location'))
-        sheet2.write(37,3,('scale'))
-        sheet2.write(37,6,('D-statistic'))
-        sheet2.write(37,8,('p-value'))
-        
-        sheet2.write(41,1,('Cauchy'))
-        sheet2.write(41,2,('location'))
-        sheet2.write(41,3,('scale'))
-        sheet2.write(41,6,('D-statistic'))
-        sheet2.write(41,8,('p-value'))
-        
         ###Dataset###
         i=0
         while (i<robjects.r['length'](data)[0]):
@@ -182,77 +182,77 @@ class ExcelOutput(StatisticalMeasures,DistFittest):
             i=i+1
 
         ###Poisson###
-        sheet2.write(9,2,(robjects.r['fitdistr'](data,'Poisson')[0][0]))
-        sheet2.write(9,6,(self.Pois_kstest(data)[0][0]))
-        sheet2.write(9,8,(self.Pois_kstest(data)[1][0]))
+        sheet2.write(5,2,(robjects.r['fitdistr'](data,'Poisson')[0][0]))
+        sheet2.write(5,6,(self.Pois_kstest(data)[0][0]))
+        sheet2.write(5,8,(self.Pois_kstest(data)[1][0]))
         
         ###Geometric###
-        sheet2.write(12,2,(robjects.r['fitdistr'](data,'Geometric')[0][0]))
-        sheet2.write(12,6,(self.Geom_kstest(data)[0][0]))
-        sheet2.write(12,8,(self.Geom_kstest(data)[1][0]))
+        sheet2.write(8,2,(robjects.r['fitdistr'](data,'Geometric')[0][0]))
+        sheet2.write(8,6,(self.Geom_kstest(data)[0][0]))
+        sheet2.write(8,8,(self.Geom_kstest(data)[1][0]))
         
         ###Normal###
-        sheet2.write(18,2,(robjects.r['fitdistr'](data,'Normal')[0][0]))
-        sheet2.write(18,3,(robjects.r['fitdistr'](data,'Normal')[0][1]))
-        sheet2.write(18,6,(self.Norm_kstest(data)[0][0]))
-        sheet2.write(18,8,(self.Norm_kstest(data)[1][0]))
+        sheet2.write(12,2,(robjects.r['fitdistr'](data,'Normal')[0][0]))
+        sheet2.write(12,3,(robjects.r['fitdistr'](data,'Normal')[0][1]))
+        sheet2.write(12,6,(self.Norm_kstest(data)[0][0]))
+        sheet2.write(12,8,(self.Norm_kstest(data)[1][0]))
         
         ###Exponential###
-        sheet2.write(22,2,(robjects.r['fitdistr'](data,'Exponential')[0][0]))
-        sheet2.write(22,6,(self.Exp_kstest(data)[0][0]))
-        sheet2.write(22,8,(self.Exp_kstest(data)[1][0]))
+        sheet2.write(15,2,(robjects.r['fitdistr'](data,'Exponential')[0][0]))
+        sheet2.write(15,6,(self.Exp_kstest(data)[0][0]))
+        sheet2.write(15,8,(self.Exp_kstest(data)[1][0]))
         
         ###Gamma###
-        sheet2.write(26,2,(robjects.r['fitdistr'](data,'Gamma')[0][0]))
-        sheet2.write(26,3,(robjects.r['fitdistr'](data,'Gamma')[0][1]))
-        sheet2.write(26,6,(self.Gam_kstest(data)[0][0]))
-        sheet2.write(26,8,(self.Gam_kstest(data)[1][0]))
+        sheet2.write(18,2,(robjects.r['fitdistr'](data,'Gamma')[0][0]))
+        sheet2.write(18,3,(robjects.r['fitdistr'](data,'Gamma')[0][1]))
+        sheet2.write(18,6,(self.Gam_kstest(data)[0][0]))
+        sheet2.write(18,8,(self.Gam_kstest(data)[1][0]))
         
         ###Lognormal###
-        sheet2.write(30,2,(robjects.r['fitdistr'](data,'Lognormal')[0][0]))
-        sheet2.write(30,3,(robjects.r['fitdistr'](data,'Lognormal')[0][1]))
-        sheet2.write(30,6,(self.Lognorm_kstest(data)[0][0]))
-        sheet2.write(30,8,(self.Lognorm_kstest(data)[1][0]))
+        sheet2.write(21,2,(robjects.r['fitdistr'](data,'Lognormal')[0][0]))
+        sheet2.write(21,3,(robjects.r['fitdistr'](data,'Lognormal')[0][1]))
+        sheet2.write(21,6,(self.Lognorm_kstest(data)[0][0]))
+        sheet2.write(21,8,(self.Lognorm_kstest(data)[1][0]))
         
         ###Weibull###
-        sheet2.write(34,2,(robjects.r['fitdistr'](data,'Weibull')[0][0]))
-        sheet2.write(34,3,(robjects.r['fitdistr'](data,'Weibull')[0][1]))
-        sheet2.write(34,6,(self.Weib_kstest(data)[0][0]))
-        sheet2.write(34,8,(self.Weib_kstest(data)[1][0]))
+        sheet2.write(24,2,(robjects.r['fitdistr'](data,'Weibull')[0][0]))
+        sheet2.write(24,3,(robjects.r['fitdistr'](data,'Weibull')[0][1]))
+        sheet2.write(24,6,(self.Weib_kstest(data)[0][0]))
+        sheet2.write(24,8,(self.Weib_kstest(data)[1][0]))
         
         ###Logistic###
-        sheet2.write(38,2,(robjects.r['fitdistr'](data,'Logistic')[0][0]))
-        sheet2.write(38,3,(robjects.r['fitdistr'](data,'Logistic')[0][1]))
-        sheet2.write(38,6,(self.Logis_kstest(data)[0][0]))
-        sheet2.write(38,8,(self.Logis_kstest(data)[1][0]))
+        sheet2.write(27,2,(robjects.r['fitdistr'](data,'Logistic')[0][0]))
+        sheet2.write(27,3,(robjects.r['fitdistr'](data,'Logistic')[0][1]))
+        sheet2.write(27,6,(self.Logis_kstest(data)[0][0]))
+        sheet2.write(27,8,(self.Logis_kstest(data)[1][0]))
         
         ###Cauchy###
-        sheet2.write(42,2,(robjects.r['fitdistr'](data,'Cauchy')[0][0]))
-        sheet2.write(42,3,(robjects.r['fitdistr'](data,'Cauchy')[0][1]))
-        sheet2.write(42,6,(self.Cauchy_kstest(data)[0][0]))
-        sheet2.write(42,8,(self.Cauchy_kstest(data)[1][0]))
+        sheet2.write(30,2,(robjects.r['fitdistr'](data,'Cauchy')[0][0]))
+        sheet2.write(30,3,(robjects.r['fitdistr'](data,'Cauchy')[0][1]))
+        sheet2.write(30,6,(self.Cauchy_kstest(data)[0][0]))
+        sheet2.write(30,8,(self.Cauchy_kstest(data)[1][0]))
         
         ###BestDistributionFit###
         A=self.ks_test(data)
-        sheet2.write(14,14,(A.get('distributionType')))
+        sheet2.write(13,10,(A.get('distributionType')))
         if A['distributionType']=='Normal':
             del A['min']
             del A['max']
             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]))
+            sheet2.write(13,11,(A.keys()[0]))
+            sheet2.write(13,12,(A.keys()[1]))
+            sheet2.write(14,11,(A.values()[0]))
+            sheet2.write(14,12,(A.values()[1]))
         elif A['distributionType']=='Exp' or A['distributionType']=='Poisson' or A['distributionType']=='Geometric':
             del A['distributionType']
-            sheet2.write(14,15,(A.keys()[0]))
-            sheet2.write(15,15,(A.values()[0]))
+            sheet2.write(13,11,(A.keys()[0]))
+            sheet2.write(14,11,(A.values()[0]))
              
         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]))
+            sheet2.write(13,11,(A.keys()[0]))
+            sheet2.write(13,12,(A.keys()[1]))
+            sheet2.write(14,11,(A.values()[0]))
+            sheet2.write(14,12,(A.values()[1]))
         
         book.save(fileName)    #Save the excel document