python操作Excel
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import openpyxl import pandas as pd import numpy as np import openpyxl as pyxl import xlrd import xlwt from xlutils.copy import copy import os totalPath = input("请输入总清单Excel:") file_dir = input("请输入打包清单路径:") for root, dirs, files in os.walk(file_dir): print(root) #当前目录路径 print(dirs) #当前路径下所有子目录 print(files) #当前路径下所有非目录子文件 for file in files: packPath = os.path.join(root, file) savefile = root + "/" + os.path.splitext(file)[0] + "含图纸编号.xls" #修改Excel bk1 = xlrd.open_workbook(packPath) bk2 = copy(bk1) xl = pd.ExcelFile(packPath) sheetName = xl.sheet_names print(sheetName) for i in range(len(sheetName)): packDFRaw = pd.read_excel(packPath,sheetname=i,header=1) #删除最后一行 rowEnd = len(packDFRaw) packDF = packDFRaw.drop(index = [rowEnd-1]) #获得模板编号 packBoardId = packDF["模板编号"] #从总清单中找到模板编号对应的图纸编号 totalDFRow = pd.read_excel(totalPath,header=1) # drop_duplicate方法是对DataFrame格式的数据,去除特定列下面的重复行 # 返回DataFrame格式的数据 totalDF = totalDFRow.drop_duplicates("模板编号", ‘first‘, inplace=False) totalSeries = pd.Series(totalDF["图纸编号"].values, index = totalDF["模板编号"]) #imgeIdList图纸编号 imageIdList = [] for boardId in packBoardId: print(boardId) temp = totalSeries[boardId] print(temp) imageIdList.append(temp) print(type(imageIdList)) ws = bk2.get_sheet(i) ws.write(1,3,"图纸编号") for j in range(0, len(imageIdList) ): print(imageIdList[j]) ws.write(2+j,3,imageIdList[j]) bk2.save(savefile)
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