python对于合并excel本篇文章给出合并xlsx文件的方法，xls的方法不在本文介绍

拆分数据可以适用于xlsx或xls

合并excel

        先读取所有的excel，得到df列表，在将这个df列表 按行进行合并

import pandas as pd# 读取所有xlsx
def read_xlsx(xlsx_list):""":param xlsx_list: xlsx文件列表:return: """if len(xlsx_list) == 0 or xlsx_list is None:print("没有任何xlsx文件，无法读取数据")returndf_list = []for xlsx in xlsx_list:df = pd.read_excel(xlsx)df_list.append(df)return df_list# 合并xlsx
def merge_xlsx(df_list):""":param df_list: df列表:return: """if len(df_list) == 0 or df_list is None:print("没有任何df，无法合并数据")returnmerged_df = pd.concat(df_list, axis=0)xlsx_path = "文件保存路径"merged_df.to_excel(xlsx_path, index=False)return xlsx_pathfile_list = ["xlsx文件路径1","xlsx文件路径2","xlsx文件路径3","xlsx文件路径4"]
read_df_list = read_xlsx(file_list)
merged_file = merge_xlsx(read_df_list)
print(f"合并后的文件路径：{merged_file}")

拆分excel

        按照指定的行数对原表的数据进行拆分，拆分的数据每一个表格会保留表头（标题行）

import xlrd
import xlwt
import pandas as pd# 拆分数据
def split_file(file_path):"""将传入的xls文件格式的表格进行，按照指定行数进行拆分:return: 返回拆分后的文件路径列表"""if file_path is None:print("没有需要拆分的表格")returnsplit_rows = 500  # 每个表拆分数据的行数wb = xlrd.open_workbook(file_path)sheet = wb.sheet_by_index(0)total_rows = sheet.nrowssplit_size = split_rows + 1header = sheet.row_values(0)# 拆分大于指定的长度的文件first_file = Truefor i in range(total_rows // split_size):if first_file:  # 如果是第一个文件则从第二行开始（跳过表头）start_row = i * split_size + 1first_file = Falseelse:start_row = i * split_sizeend_row = start_row + split_rowsdata = [sheet.row_values(j) for j in range(start_row, end_row)]filename = f'拆分的文件_{i + 1}.xls'workbook = xlwt.Workbook()sheet_new = workbook.add_sheet("Sheet1")for col_index, value in enumerate(header):sheet_new.write(0, col_index, value)  # 写入表头for row_index, row in enumerate(data):for col_index, value in enumerate(row):sheet_new.write(row_index + 1, col_index, value)  # 写入数据workbook.save(filename)print(f"拆分的文件路径：{filename}")your_file_path = "需要拆分的表格路径"
split_file(your_file_path )