How can we write some tabular result data to a file , where each result type is next to each other?

Erik Kostson

Say we have several different result objects and each of them are time dependent. We want to write some tabular result data to a file. Each result object results data should come next to each other, so if we have 4 columns per results object and 2 result objects (say displacement and stress), then the second stress result object should start at the position highlighted below. So the written data will be following the below pattern.

Erik Kostson

One possible way of doing this is shown in the sample script below:

ResultsOfIn = []
ResultsOfIn.append('Directional Deformation')
ResultsOfIn.append('Equivalent Stress')



myd=''

results = DataModel.GetObjectsByType(DataModelObjectCategory.Result)
res = DataModel.GetObjectsByName(ResultsOfInterest[0]) [0]
res.Activate()
Pane=ExtAPI.UserInterface.GetPane(MechanicalPanelEnum.TabularData)
Con = Pane.ControlUnknown
rows=Con.RowsCount
with open('D:\mycsvfile2.csv', 'a') as file:
    for R in range(0,rows,1):
        print(R)
        for ires in ResultsOfIn:
            res = DataModel.GetObjectsByName(ires) [0]
            res.Activate()
            Pane=ExtAPI.UserInterface.GetPane(MechanicalPanelEnum.TabularData)
            Con = Pane.ControlUnknown
            for C in range(2,Con.ColumnsCount+1):
                myd=str(myd)+ ','+(Con.cell(R+1,C).Text)
        file.write(myd+'\n')
        myd=''

Rohith Patchigolla

another possible solution...

##### INPUTS #####

#region Importing modules:
import csv
import wbjn
#endregion

ResultsOfInterest = []
ResultsOfInterest.append('Directional Deformation')
ResultsOfInterest.append('Equivalent Stress')
ResultsOfInterest.append('Equivalent Stress 2')
##### EXECUTION #####

def writeCSV(filename, data):
   # Function to write python list to a csv file
   with open(filename, 'wb') as csvfile:
       spamwriter = csv.writer(csvfile, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL)
       for row in data:
           spamwriter.writerow(row)

cmd = 'returnValue(GetUserFilesDirectory())'
user_dir = wbjn.ExecuteCommand(ExtAPI, cmd)

AnalysisNumber=0

data=[]
column=0
results = DataModel.GetObjectsByType(DataModelObjectCategory.Result)

for i in ResultsOfInterest:
    res = DataModel.GetObjectsByName(i) [0]
    res.Activate()
    Pane=ExtAPI.UserInterface.GetPane(MechanicalPanelEnum.TabularData)
    Con = Pane.ControlUnknown
    for R in range(1,Con.RowsCount+1):
        data.append([])
        for C in range(2,Con.ColumnsCount+1):
            data[-1].append(Con.cell(R,C).Text)

# Step 1: Find indices where new datasets start
dataset_indices = [i for i, row in enumerate(data) if row[0] == "Time [s]"]
dataset_indices.append(len(data))  # Add end index for last dataset

# Step 2: Extract all datasets
datasets = [data[start:end] for start, end in zip(dataset_indices, dataset_indices[1:])]

# Step 3: Merge datasets column-wise
merged_data = [sum([ds[0] for ds in datasets], [])]  # Merge headers
for rows in zip(*[ds[1:] for ds in datasets]):  # Merge data rows
    merged_data.append(sum(rows, []))

writeCSV(user_dir + "/" + Model.Analyses[AnalysisNumber].Name + " - " + ".csv", data)
writeCSV(user_dir + "/" + Model.Analyses[AnalysisNumber].Name + " - 2" + ".csv", merged_data)


print("Script has completed!")
print("")
print("Open File: " + chr(34) + user_dir + chr(92) + Model.Analyses[AnalysisNumber].Name + " - " + ".csv" + chr(34))