使用Python批量合并多个Excel文件的代码实现

import pandas as pd
import os

def append(path): #path：所有需要合并的excel文件所在的文件夹
    filename_excel = [] # 建立一个空list,用于储存所有需要合并的excel名称
    frames = [] # 建立一个空list,用于储存dataframe
    for root, dirs, files in os.walk(path):
        for file in files:
        	file_with_path = os.path.join(root, file) 
            filename_excel.append(file_with_path)
            df = pd.read_excel(file_with_path)
            frames.append(df)
    df = pd.concat(frames, axis=0)
    return df

filename_excel = [] 
frames = [] 
for root, dirs, files in os.walk(path):
    for file in files:
        file_with_path = os.path.join(root, file) 
        filename_excel.append(file_with_path)
        df = pd.read_excel(file_with_path)
        frames.append(df)
df = pd.concat(frames, axis=0)
df.to_excel("合并的excel.xlsx")

def append(path): 
    filename_excel = []
    frames = [] 
    for root, dirs, files in os.walk(path):
        for file in files:
        	file_with_path = os.path.join(root, file) 
            filename_excel.append(file_with_path)
            df = pd.read_excel(file_with_path)
            # 将文件名中包含的日期信息写入dataframe
            df["日期"] = pd.to_datetime(file.strip('.xls')[-1:])#日期在什么位置需要自己调整
            frames.append(df)
    df = pd.concat(frames, axis=0)
    return df

def combine(path):
    with pd.ExcelWriter("合并的excel.xlsx") as writer:
        for root, dirs, files in os.walk(path):
            for file in files:
                filename = os.path.join(root, file)
                df = pd.read_excel(filename)
                df.to_excel(writer, sheet_name=file.strip('.xls')) #删除文件名的后缀，有时候是.csv/.xlsx
        return df