How to implement the merge and output of multiple csv file data using python

import pandas as pd
import os

df01 = pd.read_csv("D:\\12140\\Desktops\\111\\", encoding='utf-8', dtype='str')

df02 = pd.read_csv("D:\\12140\\Desktops\\111\\", encoding='utf-8', dtype='str')

df03 = pd.read_csv("D:\\12140\\Desktops\\111\\", encoding='utf-8', dtype='str')

df04 = pd.read_csv("D:\\12140\\Desktops\\111\\", encoding='utf-8', dtype='str')

df_pri12 = (df01, df02, on='The name of the result', how='outer')

df_pri123 = (df_pri12, df03, on="Name of the Results", how='outer')

df_pri1234 = (df_pri123, df04, on="Name of the Results", how='outer')

df_pri1234.to_csv('D:\\12140\\Desktops\\111\\222\\', header=True, index=False)

import os
import pandas as pd
# Specify the folder path that contains the CSV filefolder_path = "C:\\Users\\Administrator\\Desktop\\datasplit"
# Get all CSV files in the foldercsv_files = [file for file in (folder_path) if ('.csv')]
print(csv_files)  # Print out the found CSV file list# Create an empty DataFrame to store the merged datamerged_data = ()
# traverse all CSV files and merge themfor file in csv_files:
    file_path = (folder_path, file)
    # Read CSV files and use GBK encoding (GBK is a common Chinese character encoding)    df = pd.read_csv(file_path, encoding='GBK')
    # Add a new column to identify which CSV file the data comes from    df['SourceFile'] = file
    # Merge data and append the data of the current CSV file to the merged data    merged_data = ([merged_data, df], ignore_index=True)
# Save the merged data as a new CSV file and specify index=False to avoid saving index columnsmerged_data.to_csv("C:\\Users\\Administrator\\Desktop\\Merge Data.csv", index=False)
# Print the completed messageprint('success')