Python 如何在现有Excel工作表下写入dataframe，而不丢失透视表中Excel的切片器？

我正在使用openpyxl模块将pandas数据框附加到现有excel工作表下面。但问题是，在执行此任务时，透视表中excel工作表的切片器被破坏。我已经尝试了很多方法来找到它的解决方案，但是我认为openpyxl无法避免这种情况

我使用以下方法用openpyxl实现它-

#HELPER FUNCTION TO APPEND DATAFRAME BELOW EXCEL FILE
def append_df_to_excel(filename, df, sheet_name='Sheet1', startrow=None,
                       truncate_sheet=False,
                       **to_excel_kwargs):
    """
    Append a DataFrame [df] to existing Excel file [filename]
    into [sheet_name] Sheet.
    If [filename] doesn't exist, then this function will create it.

    Parameters:
      filename : File path or existing ExcelWriter
                 (Example: '/path/to/file.xlsx')
      df : dataframe to save to workbook
      sheet_name : Name of sheet which will contain DataFrame.
                   (default: 'Sheet1')
      startrow : upper left cell row to dump data frame.
                 Per default (startrow=None) calculate the last row
                 in the existing DF and write to the next row...
      truncate_sheet : truncate (remove and recreate) [sheet_name]
                       before writing DataFrame to Excel file
      to_excel_kwargs : arguments which will be passed to `DataFrame.to_excel()`
                        [can be dictionary]

    Returns: None
    """
    from openpyxl import load_workbook

    import pandas as pd

    # ignore [engine] parameter if it was passed
    if 'engine' in to_excel_kwargs:
        to_excel_kwargs.pop('engine')

    writer = pd.ExcelWriter(filename, engine='openpyxl', index=False)

    # Python 2.x: define [FileNotFoundError] exception if it doesn't exist
    try:
        FileNotFoundError
    except NameError:
        FileNotFoundError = IOError


    try:
        # try to open an existing workbook
        writer.book = load_workbook(filename,data_only=True)

        # get the last row in the existing Excel sheet
        # if it was not specified explicitly
        if startrow is None and sheet_name in writer.book.sheetnames:
            startrow = writer.book[sheet_name].max_row

        # truncate sheet
        if truncate_sheet and sheet_name in writer.book.sheetnames:
            # index of [sheet_name] sheet
            idx = writer.book.sheetnames.index(sheet_name)
            # remove [sheet_name]
            writer.book.remove(writer.book.worksheets[idx])
            # create an empty sheet [sheet_name] using old index
            writer.book.create_sheet(sheet_name, idx)

        # copy existing sheets
        writer.sheets = {ws.title:ws for ws in writer.book.worksheets}
    except FileNotFoundError:
        # file does not exist yet, we will create it
        pass

    if startrow is None:
        startrow = 1

    # write out the new sheet
    df.to_excel(writer, sheet_name, startrow=startrow, **to_excel_kwargs)

    # save the workbook
    writer.save()

我已经看到xlwings和win32com可以实现这一点，但不确定如何使用这些库实现。我想问一下，如何在现有excel文件的下方追加dataframe，而不会丢失excel透视表中的切片器 我们不用openpyxl就可以做到这一点，因为我认为openpyxl没有可用的方法。 我在openpyxl中收到以下警告

C:\Users\Desktop\PycharmProjects\MyProject\venv\lib\site-packages\openpyxl\worksheet\_reader.py:292: UserWarning: Slicer List extension is not supported and will be removed
      warn(msg)

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我已经尝试了所有可能的解决方案，最后我可以说，使用openpyxl是不可能的。作为xlwings的替代，我们可以使用openpyxl库。xlwings库处理速度非常快。我们可以在下面代码的帮助下将数据框附加到excel工作表下面。通过这种方式，切片器值不会松动或删除

import xlwings as xw
import pandas as pd
df = pd.read_excel("File_to_append.xlsx")
wb = xw.Book(r"Existing_Excel.xlsx")
ws = wb.sheets('Sheet1')  #Name of sheet where to append df
ws.cells(cell_row_number,cell_column_number).options(index=False, header=False).value = df
#Here cell_row_number and cell_column_number are integer valuesof row number and column number to append data

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希望我清楚。这是我找到的最好的解决方案。有人能帮我解决吗？有同样的问题，并得出结论，xlwing是唯一有效的方法。是的，xlwing比openpyxl快得多。我们在几秒钟内完成工作，而不丢失切片器和透视表信息