[Python] Dynamic array using xlwings causing formula to be wrapped with {}

Discussão em 'Python' iniciado por Stack, Janeiro 26, 2025.

  1. Stack

    Stack Membro Participativo

    I am trying to populate a cell with a dynamic array formula using xlwings but each time I try the formula either ends up with @ after the = or the formula is being put inbetween {} and I can't seem to fix this. This is the code for the function in question:

    def process_files():
    # Disable button and change image
    button_1.configure(state=tk.DISABLED, image=button_image_1_processing)
    window.update_idletasks() # Force GUI update

    try:
    update_entry_2('Process Started...')
    directory = entry_1.get()
    if not directory:
    update_entry_2("Directory not selected.")
    return

    start_date_str = entry_6.get()
    end_date_str = entry_5.get()
    forward_date_str = entry_4.get()

    if not validate_date(start_date_str):
    update_entry_2('Start Date is not in the correct format. Please enter a date in the format "DD-MM-YYYY".')
    return

    if not validate_date(end_date_str):
    update_entry_2('End Date is not in the correct format. Please enter a date in the format "DD-MM-YYYY".')
    return

    if not validate_date(forward_date_str):
    update_entry_2('Forward Date is not in the correct format. Please enter a date in the format "DD-MM-YYYY".')
    return

    # Convert dates from strings to datetime objects
    start_date = datetime.strptime(start_date_str, "%d/%m/%Y")
    end_date = datetime.strptime(end_date_str, "%d/%m/%Y")
    forward_date = datetime.strptime(forward_date_str, "%d/%m/%Y")

    # Check if end date is earlier than start date
    if end_date < start_date:
    update_entry_2("End date cannot be earlier than start date.")
    return

    # Check if forward date is earlier than start date
    if forward_date < start_date:
    update_entry_2("Forward date cannot be earlier than start date.")
    return

    # Check if end date is earlier than forward date
    if end_date < forward_date:
    update_entry_2("End date cannot be earlier than forward date.")
    return

    if not validate_currency(entry_3.get()):
    update_entry_2('Account balance is not correct, this must be a number.')
    return


    xml_files = [f for f in os.listdir(directory) if f.endswith('.xml')]
    paired_files = [(f, f.replace('.forward', '')) for f in xml_files if
    f.endswith('.forward.xml') and f.replace('.forward', '') in xml_files]

    for fwd_file, back_file in paired_files:
    update_entry_2(f"{fwd_file} Found, Converting to XLSX")

    fwd_file_path = os.path.join(directory, fwd_file)
    back_file_path = os.path.join(directory, back_file)
    template_path = os.path.join(directory, 'SetFinderTemplate.xlsx')
    fwd_xlsx_path = os.path.join(directory, fwd_file.replace('.xml', '.xlsx'))
    back_xlsx_path = os.path.join(directory, back_file.replace('.xml', '.xlsx'))
    output_file_path = os.path.join(directory, fwd_file.replace('.forward.xml', '_Filtered.xlsx'))

    # Convert XML to XLSX
    convert_xml_to_xlsx(fwd_file_path, fwd_xlsx_path)
    convert_xml_to_xlsx(back_file_path, back_xlsx_path)
    update_entry_2('Files converted, importing data into Jake’s Template')

    # Load the excel template
    template_wb = load_workbook(template_path)

    # Load dataframes
    fwd_df = pd.read_excel(fwd_xlsx_path)
    back_df = pd.read_excel(back_xlsx_path)

    # Make sure the columns are in the correct order
    fwd_columns = ['Pass', 'Forward Result', 'Back Result', 'Profit', 'Expected Payoff', 'Profit Factor',
    'Recovery Factor', 'Sharpe Ratio', 'Custom', 'Equity DD %', 'Trades']
    back_columns = ['Pass', 'Result', 'Profit', 'Expected Payoff', 'Profit Factor', 'Recovery Factor',
    'Sharpe Ratio', 'Custom', 'Equity DD %', 'Trades']

    fwd_df = fwd_df[fwd_columns]
    back_df = back_df[back_columns]

    # Get the sheets
    fwd_sheet = template_wb['Fwd Data']
    back_sheet = template_wb['Back Data']

    # Write dataframes to the sheets
    for i, row in enumerate(fwd_df.values, start=3):
    for j, value in enumerate(row, start=6): # Start from column F (6)
    fwd_sheet.cell(row=i, column=j, value=value)

    for i, row in enumerate(back_df.values, start=3):
    for j, value in enumerate(row, start=1):
    back_sheet.cell(row=i, column=j, value=value)

    instructions_notes_sheet = template_wb['INSTRUCTIONSNOTES']
    instructions_notes_sheet['B15'] = entry_6.get() # Start Date
    instructions_notes_sheet['B17'] = entry_5.get() # End Date
    instructions_notes_sheet['B16'] = entry_4.get() # Forward Date
    instructions_notes_sheet['B18'] = entry_3.get() # Account balance

    # Save workbook
    template_wb.save(output_file_path)
    update_entry_2('Template populated and Filtered file saved')

    # Load workbook
    wb = xw.Book(output_file_path)

    # Get the sheet
    sheet = wb.sheets['RESULTS-ExcelVersion']

    # Assign the formula to cell A9
    sheet.range(
    'A9').formula_array = '=IFERROR(SORT(FILTER(\'Fwd Data\'!B:p,\'Fwd Data\'!A:A=TRUE),2,-1),"NO RESULTS FOUND WITHIN THESE THRESHOLDS")'

    # Save and close the workbook
    wb.save()
    wb.close()



    I am not super experienced with code and I have tried reading xlwings documentation along with openpyxl and also XlsxWriter to try and solve this problem but just keep hitting brick wall after brick wall. The formula I want to have in cell A9 is;

    =IFERROR(SORT(FILTER('Fwd Data'!B:p,'Fwd Data'!A:A=TRUE),2,-1),"NO RESULTS FOUND WITHIN THESE THRESHOLDS")


    I have also tried putting the formula in the cell without the = and just getting python to add the = for me after the file has been created but this also resulted in an error. I have Office 365 and it is fully up to date so I know the formula is supported and when putting it in manually I get the result I wanted.

    I have read through the forums and seen This post but no solutions I have seen have given results as yet. Also a lot of the posts are a year plus old so I was hoping that there may be a solution to this by now.

    Any help anyone can offer is appreciated. Thank you

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