def to_excel_table(df, writer, sheet_name, column_widths=None, max_col_width=50, startrow=0, do_column_widths=True, **kwargs):
    df.to_excel(writer, sheet_name=sheet_name, startrow=startrow+1, header=False, index=False, **kwargs)

    if column_widths is None:
        column_widths = (
            df.apply(lambda x: x.astype(str).str.len().max(), axis=0)
            .apply(lambda x: min(x, max_col_width))
            .to_dict()
        )

    # Get the xlsxwriter workbook and worksheet objects.
    workbook = writer.book
    worksheet = writer.sheets[sheet_name]

    # Get the dimensions of the dataframe.
    (max_row, max_col) = df.shape
    max_row = startrow + max_row

    # Create a list of column headers, to use in add_table().
    column_settings = [{"header": column} for column in df.columns]

    # Add the Excel table structure. Pandas will add the data.
    worksheet.add_table(startrow, 0, max_row, max_col - 1, {"columns": column_settings})

    # Make the columns wider for clarity.
    if do_column_widths:
        for col_index, column in enumerate(df.columns):
            worksheet.set_column(
                col_index, col_index, min(max(column_widths.get(column, 12), len(column)), max_col_width)
            )