Example ammended based on the objects name changes

dream/KnowledgeExtraction/KEtool_examples/TwoParallelStations/TwoParallelStations_example.py

@@ -24,9 +24,9 @@ Created on 20 Jun 2014
 
 from dream.KnowledgeExtraction.DistributionFitting import DistFittest
 from dream.KnowledgeExtraction.DistributionFitting import Distributions
-from dream.KnowledgeExtraction.ImportExceldata import Import_Excel
-from dream.KnowledgeExtraction.ExcelOutput import Output
-from dream.KnowledgeExtraction.ReplaceMissingValues import HandleMissingValues
+from dream.KnowledgeExtraction.ImportExceldata import ImportExceldata
+from dream.KnowledgeExtraction.ExcelOutput import ExcelOutput
+from dream.KnowledgeExtraction.ReplaceMissingValues import ReplaceMissingValues
 from dream.KnowledgeExtraction.JSONOutput import JSONOutput
 import xlrd
 import json
@@ -44,7 +44,7 @@ def main(test=0, ExcelFileName='inputData.xls',
     worksheets = workbook.sheet_names()
     worksheet_ProcessingTimes = worksheets[0]     #Define the worksheet with the Processing times data
     
-    inputData = Import_Excel()                              #Call the Python object Import_Excel
+    inputData = ImportExceldata()                              #Call the Python object Import_Excel
     ProcessingTimes = inputData.Input_data(worksheet_ProcessingTimes, workbook)   #Create the Processing Times dictionary with key Machines 1,2 and values the processing time data
     
     ##Get from the above dictionaries the M1 key and define the following lists with data 
@@ -52,7 +52,7 @@ def main(test=0, ExcelFileName='inputData.xls',
     M2_ProcTime = ProcessingTimes.get('M2',[])  
     
     #Call the HandleMissingValues object and replace the missing values in the lists with the mean of the non-missing values
-    misValues =HandleMissingValues()
+    misValues = ReplaceMissingValues()
     M1_ProcTime = misValues.ReplaceWithMean(M1_ProcTime)
     M2_ProcTime = misValues.ReplaceWithMean(M2_ProcTime)
     
@@ -91,7 +91,7 @@ def main(test=0, ExcelFileName='inputData.xls',
     jsonFile.close()                                             #It closes the file
     
     #=================== Calling the ExcelOutput object, outputs the outcomes of the statistical analysis in xls files ==========================#
-    export=Output()
+    export=ExcelOutput()
     
     export.PrintStatisticalMeasures(M1_ProcTime,'M1_ProcTime_StatResults.xls')   
     export.PrintStatisticalMeasures(M2_ProcTime,'M2_ProcTime_StatResults.xls')