重庆建设教育协会网站首页soso搜搜
系列文章目录
文章目录
- 系列文章目录
- 前言
- 一、在镜片的基础上新增镜筒的汇总
- 总结
前言
一、在镜片的基础上新增镜筒的汇总
import os
import shutil
import zipfile
import pandas as pd
import xlrd
import xlwt
import csv
from xlutils.copy import copy
from openpyxl import Workbook
from openpyxl import load_workbook
from os.path import dirname
from decimal import Decimal
from openpyxl.utils.dataframe import dataframe_to_rows
# 读写2007 excel
import openpyxl
from openpyxl.styles import numbers
from openpyxl.styles import Alignment
import glob
import tkinter as tk
from tkinter import messagebox
from tkinter import simpledialogdef del_old_zip(file_path):os.remove(file_path)
def decompress(file_path,root):z = zipfile.ZipFile(f"{file_path}","r")z.extractall(path=f"{root}")for names in z.namelist():if names.endswith(file_flag):z.close()return 1z.close()return 0
def start_dir_make(root,dirname):os.chdir(root)os.mkdir(dirname)return os.path.join(root,dirname)
def rem_dir_extra(root,father_dir_name):try:for item in os.listdir(os.path.join(root,father_dir_name)):if not os.path.isdir(os.path.join(root,father_dir_name,item)):continueif item == father_dir_name and len(os.listdir(os.path.join(root,father_dir_name))) == 1:os.chdir(root)os.rename(father_dir_name,father_dir_name + '-old')shutil.move(os.path.join(root,father_dir_name + '-old', item),os.path.join(root))os.rmdir(os.path.join(root,father_dir_name + '-old'))rem_dir_extra(root,item)else:rem_dir_extra(os.path.join(root,father_dir_name),item)except Exception as e:print("清除文件夹出错"+str(e))
def get_allfile_msg(file_dir):for root, dirs, files in os.walk(file_dir):return root, dirs, [file for file in files if file.endswith('.xls') or file.endswith('.xlsx') or file.endswith('.csv')]
def get_allfile_url(root, files):allFile_url = []for file_name in files:file_url = root + "/" + file_nameallFile_url.append(file_url)return allFile_url
def get_file_name(path, suffix = ['.xlsx', '.xls','.csv']): #'.xlsx', '.xls',tmp_lst = []for root,dirs,files in os.walk(path):for file in files:tmp_lst.append(os.path.join(root, file))return tmp_lst
def extract_last_part_of_path(path):return os.path.basename(path)
#定义读取csv_pandas
def read_csv_file(file_path):#参数：error_bad_lines=False跳过错误的行 delimiter=',',encoding = 'gbk',header = 0, engine='python' sep = r"\s+\s{0}" encoding = "iso-8859-1"return pd.read_csv(file_path,encoding = 'latin1',sep = r"\s+\s{0}",dtype=object,quotechar="'",delimiter=',',doublequote=True,engine="python",header = 1) #第2行作为表头
def read_csv_file1(file_path):#参数：error_bad_lines=False跳过错误的行 delimiter=',',encoding = 'gbk',header = 0, engine='python' sep = r"\s+\s{0}" encoding = "iso-8859-1"return pd.read_csv(file_path,encoding = 'latin1',sep = r"\s+\s{0}",dtype=object,quotechar="'",delimiter=',',doublequote=True,engine="python",header = None,skiprows=lambda x:x not in [2,3,4]) #第2行作为表头
if __name__ == '__main__':#反射率标准S1和S2标准一致wave1start = 430wave1end = 530wave1standard = 1.5wave2start = 550wave2end = 780wave2standard = 1.1#***********************sort = input("请选择镜片还是镜筒：7-镜筒，9-镜片 \n")if sort == "7":mode = input("请选择汇总模式: 1解压 2汇总单机种 \n") if mode == "1":zippath = input("请输入需解压的文件路径：\n")parent_path = zippathfile_flag = '.zip'flag = 1while flag:for root,dirs,files in os.walk(parent_path):for name in files:if name.endswith(file_flag):new_ws = start_dir_make(root,name.replace(file_flag,""))zip_path = os.path.join(root,name)flag = decompress(zip_path,new_ws)del_old_zip(zip_path)rem_dir_extra(root,name.replace(file_flag,""))print(f'{root}\\{name}'.join(['文件：','\n解压完成\n']))rem_dir_extra(os.path.split(parent_path)[0],os.path.split(parent_path)[1])print("解压完成，请检查！！")elif mode == "2": Summarypath = input("请输入汇总路径：汇总路径格式为：701/77b113e5-b3ad-4be2-8bcf-1544d5d901da/1.csv \n")#item = input("请输入汇总件号：(例如：39642A-701) \n")#user_input = input("请输入汇总model，LAB-L OR 反射率-F \n")position = input("请输入位置类型：上中下左右-5，上中下-3 \n")if position == "5":file_dir = Summarypathfolder_count = sum(1 for _ in os.scandir(file_dir) if _.is_dir())count = 0item = 701with os.scandir(file_dir) as it:wb = Workbook()ws1 = wb.create_sheet('F')ws2 = wb.create_sheet('L') ws1.cell(row = 1,column = 1).value = '文件名' ws1.cell(row = 2,column = 1).value = 'wave' ws2.cell(row = 2,column = 1).value = 'L*' ws2.cell(row = 3,column = 1).value = 'a*' ws2.cell(row = 4,column = 1).value = 'b*' alignment = Alignment(horizontal='center',vertical='center')titles = ['data1','data2','data3','data4']for l in range(380,1051):ws1.cell(l-377,1).value = lws1.cell(l-377,1).alignment = alignmentcontinue#*******************************for entry in it:count += 1c = countm = c - 1if entry.is_dir():print(entry.name)file_dir1 = file_dir+'\\'+entry.name+"\\"print(file_dir1)for root,dirs,files in os.walk(file_dir1):files_F = ['1.csv', '2.csv', '3.csv', '4.csv', '5.csv']files_L = ['1Add.csv', '2Add.csv', '3Add.csv', '4Add.csv', '5Add.csv']z = 0for f in files_F:z += 1y = z - 1df = read_csv_file(file_dir1+f)df = df.iloc[:,1:5]for k,title in enumerate(titles,2): ws1.cell(row = 2,column = k+4*y+4*m).value = titlews1.cell(row = 2,column = k+4*y+4*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+3,column = j+1+4*y+4*m).value = valuez = 0for l in files_L:z += 1y = z - 1df = read_csv_file1(file_dir1+l)df = df.iloc[0:3,1:5]for k,title in enumerate(titles,2): ws2.cell(row = 1,column = k+4*y+4*m).value = titlews2.cell(row = 1,column = k+4*y+4*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+2,column = j+1+4*y+4*m).value = value output_file_path=os.path.join(file_dir,f'Summaryout{item}.xlsx')wb.remove(wb['Sheet'])wb.save(output_file_path) elif position == "3":file_dir = Summarypathfolder_count = sum(1 for _ in os.scandir(file_dir) if _.is_dir())count = 0item = 701with os.scandir(file_dir) as it:wb = Workbook()ws1 = wb.create_sheet('F')ws2 = wb.create_sheet('L') ws1.cell(row = 1,column = 1).value = '文件名' ws1.cell(row = 2,column = 1).value = 'wave' ws2.cell(row = 2,column = 1).value = 'L*' ws2.cell(row = 3,column = 1).value = 'a*' ws2.cell(row = 4,column = 1).value = 'b*' alignment = Alignment(horizontal='center',vertical='center')titles = ['data1','data2','data3','data4']for l in range(380,1051):ws1.cell(l-377,1).value = lws1.cell(l-377,1).alignment = alignmentcontinue#*******************************for entry in it:count += 1c = countm = c - 1if entry.is_dir():print(entry.name)file_dir1 = file_dir+'\\'+entry.name+"\\"print(file_dir1)for root,dirs,files in os.walk(file_dir1):files_F = ['1.csv', '2.csv', '3.csv']files_L = ['1Add.csv', '2Add.csv', '3Add.csv']z = 0for f in files_F:z += 1y = z - 1df = read_csv_file(file_dir1+f)df = df.iloc[:,1:5]for k,title in enumerate(titles,2): ws1.cell(row = 2,column = k+4*y+4*m).value = titlews1.cell(row = 2,column = k+4*y+4*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+3,column = j+1+4*y+4*m).value = valuez = 0for l in files_L:z += 1y = z - 1df = read_csv_file1(file_dir1+l)df = df.iloc[0:3,1:5]for k,title in enumerate(titles,2): ws2.cell(row = 1,column = k+4*y+4*m).value = titlews2.cell(row = 1,column = k+4*y+4*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+2,column = j+1+4*y+4*m).value = value output_file_path=os.path.join(file_dir,f'Summaryout{item}.xlsx')wb.remove(wb['Sheet'])wb.save(output_file_path) else:print("指令错误，请重新运行。")else:print("指令错误，请重新运行。") elif sort == "9":mode = input("请选择汇总模式: 1解压 2汇总单镜片 3解压汇总单镜片 4汇总单机种多镜片 \n") if mode == "1":zippath = input("请输入需解压的文件路径：\n")parent_path = zippathfile_flag = '.zip'flag = 1while flag:for root,dirs,files in os.walk(parent_path):for name in files:if name.endswith(file_flag):new_ws = start_dir_make(root,name.replace(file_flag,""))zip_path = os.path.join(root,name)flag = decompress(zip_path,new_ws)del_old_zip(zip_path)rem_dir_extra(root,name.replace(file_flag,""))print(f'{root}\\{name}'.join(['文件：','\n解压完成\n']))rem_dir_extra(os.path.split(parent_path)[0],os.path.split(parent_path)[1])print("解压完成，请检查！！")elif mode == "2": Summarypath = input("请输入汇总路径：路径格式：901/77b113e5-b3ad-4be2-8bcf-1544d5d901da \n")item = input("请输入汇总件号：(例如：39642A) \n")user_input = input("请输入汇总model，S1或S2或S1S2或S1&S2 \n")standerd_input = input("是否需要标准？\n")if standerd_input == "Y":wb = Workbook()#ws = wb.active#ws.title="Summary"ws = wb.create_sheet("S1S2")ws1 = wb.create_sheet("S1")ws2 = wb.create_sheet("S2") #设置所有单元格的对齐方式为居中alignment = Alignment(horizontal='center',vertical='center') titlesS1 = ['data1','data2','data3'] titlesS2 = ['data4','data5','data6'] titlesS1S2 = ['data1','data2','data3','data4','data5','data6']#第一列波段设置区域ws.cell(row = 1,column = 1).value = '判定'ws.cell(row = 1,column = 1).alignment = alignmentws.cell(row = 5,column = 1).value = '文件名'ws.cell(row = 5,column = 1).alignment = alignmentws.cell(row = 6,column = 1).value = 'wave'ws.cell(row = 6,column = 1).alignment = alignmentws1.cell(row = 1,column = 1).value = '判定'ws1.cell(row = 1,column = 1).alignment = alignmentws1.cell(row = 5,column = 1).value = '文件名'ws1.cell(row = 5,column = 1).alignment = alignmentws1.cell(row = 6,column = 1).value = 'wave'ws1.cell(row = 6,column = 1).alignment = alignmentws2.cell(row = 1,column = 1).value = '判定'ws2.cell(row = 1,column = 1).alignment = alignmentws2.cell(row = 5,column = 1).value = '文件名'ws2.cell(row = 5,column = 1).alignment = alignmentws2.cell(row = 6,column = 1).value = 'wave'ws2.cell(row = 6,column = 1).alignment = alignmentfor l in range(380,1051):ws.cell(l-373,1).value = lws.cell(l-373,1).alignment = alignmentws1.cell(l-373,1).value = lws1.cell(l-373,1).alignment = alignmentws2.cell(l-373,1).value = lws2.cell(l-373,1).alignment = alignmentcontinue#*****************************************************************#读取指定文件夹#file_dir = os.getcwd()file_dir = Summarypathcurrent_path = os.path.dirname(os.path.abspath(__file__))#file_dir = r"D:\Users\gxcaoty\Desktop\39526-905\一车间"root, dirs, files = get_allfile_msg(file_dir)allFile_url = get_allfile_url(root, files)dir_numbers = len(dirs) #file_dir下的文件夹个数count = 0for root,dirs,files in os.walk(file_dir):for file_path in glob.glob(os.path.join(root,'*.csv')):if item in file_path and 'Add' not in file_path:print(file_path)xl = file_pathcount += 1c = countm = c - 1print(f"共发现 {m} 个文件！")#print(files_chose)try:last_part = extract_last_part_of_path(xl)#print(last_part) #filename为文件名filename = xl csv_data = read_csv_file(filename)df = csv_dataif user_input == "S1":df = df.iloc[:,1:4]df = df.astype(float)#print(df)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws1.cell(row = 2,column = 1).value = combinedwave1ws1.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,3):cal1 = df.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws1.cell(row = 1,column = n+2+3*m).value = "OK"ws1.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws1.cell(row = 1,column = n+2+3*m).value = "NG"ws1.cell(row = 1,column = n+2+3*m).alignment = alignment#print(ave1,ave2)ws1.cell(row = 2,column = n+2+3*m).value = cal1ws1.cell(row = 3,column = n+2+3*m).value = cal2continue#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S2":df = df.iloc[:,4:7]df = df.astype(float)#print(df)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws2.cell(row = 2,column = 1).value = combinedwave1ws2.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,3):cal1 = df.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws2.cell(row = 1,column = n+2+3*m).value = "OK"ws2.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws2.cell(row = 1,column = n+2+3*m).value = "NG"ws2.cell(row = 1,column = n+2+3*m).alignment = alignment#print(ave1,ave2)ws2.cell(row = 2,column = n+2+3*m).value = cal1ws2.cell(row = 3,column = n+2+3*m).value = cal2continue#文件名输出区域ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S1S2":df = df.iloc[:,1:7]df = df.astype(float)#print(df)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws.cell(row = 2,column = 1).value = combinedwave1ws.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,6):cal1 = df.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws.cell(row = 1,column = n+2+6*m).value = "OK"ws.cell(row = 1,column = n+2+6*m).alignment = alignmentelse:ws.cell(row = 1,column = n+2+6*m).value = "NG"ws.cell(row = 1,column = n+2+6*m).alignment = alignment#print(ave1,ave2)ws.cell(row = 2,column = n+2+6*m).value = cal1ws.cell(row = 3,column = n+2+6*m).value = cal2continue#文件名输出区域ws.cell(row = 5,column = 2+6*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1S2,2): ws.cell(row = 6,column = k+6*m).value = titlews.cell(row = 6,column = k+6*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws.cell(row = i+7,column = j+1+6*m).value = valueelif user_input == "S1&S2":#df = df.iloc[:,1:7]df1 = df.iloc[:,1:4]df2 = df.iloc[:,4:7]df1 = df1.astype(float)df2 = df2.astype(float)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws1.cell(row = 2,column = 1).value = combinedwave1ws2.cell(row = 2,column = 1).value = combinedwave1ws1.cell(row = 3,column = 1).value = combinedwave2ws2.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,3):cal1 = df1.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df1.iloc[wave2start-380+2:wave2end-380+2,n].max() cal3 = df2.iloc[wave1start-380+2:wave1end-380+2,n].max() cal4 = df2.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws1.cell(row = 1,column = n+2+3*m).value = "OK"ws1.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws1.cell(row = 1,column = n+2+3*m).value = "NG"ws1.cell(row = 1,column = n+2+3*m).alignment = alignmentif cal3 <= wave1standard and cal4 <= wave2standard :ws2.cell(row = 1,column = n+2+3*m).value = "OK"ws2.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws2.cell(row = 1,column = n+2+3*m).value = "NG"ws2.cell(row = 1,column = n+2+3*m).alignment = alignment#print(ave1,ave2)ws1.cell(row = 2,column = n+2+3*m).value = cal1ws1.cell(row = 3,column = n+2+3*m).value = cal2ws2.cell(row = 2,column = n+2+3*m).value = cal3ws2.cell(row = 3,column = n+2+3*m).value = cal4continue#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinuefor k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df1.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valuefor i ,row in df2.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelse:print("非指定指令")except Exception as e:print(e)if user_input == "S1":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S2'])wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S1S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S2'])wb.remove(wb['Sheet']) wb.save(output_file_path)elif user_input == "S1&S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)else :print("请检查程序！") elif standerd_input == "N":wb = Workbook()#ws = wb.active#ws.title="Summary"ws = wb.create_sheet("S1S2")ws1 = wb.create_sheet("S1")ws2 = wb.create_sheet("S2") #设置所有单元格的对齐方式为居中alignment = Alignment(horizontal='center',vertical='center') titlesS1 = ['data1','data2','data3'] titlesS2 = ['data4','data5','data6'] titlesS1S2 = ['data1','data2','data3','data4','data5','data6']#第一列波段设置区域ws.cell(row = 5,column = 1).value = '文件名'ws.cell(row = 5,column = 1).alignment = alignmentws.cell(row = 6,column = 1).value = 'wave'ws.cell(row = 6,column = 1).alignment = alignmentws1.cell(row = 5,column = 1).value = '文件名'ws1.cell(row = 5,column = 1).alignment = alignmentws1.cell(row = 6,column = 1).value = 'wave'ws1.cell(row = 6,column = 1).alignment = alignmentws2.cell(row = 5,column = 1).value = '文件名'ws2.cell(row = 5,column = 1).alignment = alignmentws2.cell(row = 6,column = 1).value = 'wave'ws2.cell(row = 6,column = 1).alignment = alignmentfor l in range(380,1051):ws.cell(l-373,1).value = lws.cell(l-373,1).alignment = alignmentws1.cell(l-373,1).value = lws1.cell(l-373,1).alignment = alignmentws2.cell(l-373,1).value = lws2.cell(l-373,1).alignment = alignmentcontinue#*****************************************************************#读取指定文件夹#file_dir = os.getcwd()file_dir = Summarypathcurrent_path = os.path.dirname(os.path.abspath(__file__))#file_dir = r"D:\Users\gxcaoty\Desktop\39526-905\一车间"root, dirs, files = get_allfile_msg(file_dir)allFile_url = get_allfile_url(root, files)dir_numbers = len(dirs) #file_dir下的文件夹个数count = 0for root,dirs,files in os.walk(file_dir):for file_path in glob.glob(os.path.join(root,'*.csv')):if item in file_path and 'Add' not in file_path:print(file_path)xl = file_pathcount += 1c = countm = c - 1print(f"共发现 {m} 个文件！")#print(files_chose)try:last_part = extract_last_part_of_path(xl)#print(last_part) #filename为文件名filename = xl csv_data = read_csv_file(filename)df = csv_dataif user_input == "S1":df = df.iloc[:,1:4]df = df.astype(float)#print(df)#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S2":df = df.iloc[:,4:7]df = df.astype(float)#print(df)#文件名输出区域ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S1S2":df = df.iloc[:,1:7]df = df.astype(float)#print(df)#文件名输出区域ws.cell(row = 5,column = 2+6*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1S2,2): ws.cell(row = 6,column = k+6*m).value = titlews.cell(row = 6,column = k+6*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws.cell(row = i+7,column = j+1+6*m).value = valueelif user_input == "S1&S2":#df = df.iloc[:,1:7]df1 = df.iloc[:,1:4]df2 = df.iloc[:,4:7]df1 = df1.astype(float)df2 = df2.astype(float)#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinuefor k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df1.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valuefor i ,row in df2.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelse:print("非指定指令")except Exception as e:print(e)if user_input == "S1":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S2'])wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S1S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S2'])wb.remove(wb['Sheet']) wb.save(output_file_path)elif user_input == "S1&S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)else :print("请检查程序！") else:print("非指定指令！")elif mode == "3":zippath = input("请输入需解压的文件路径：\n")item = input("请输入汇总件号：(例如：39642A) \n")standerd_input = input("是否需要标准？ \n")if standerd_input == "Y":parent_path = zippathfile_flag = '.zip'flag = 1while flag:for root,dirs,files in os.walk(parent_path):for name in files:if name.endswith(file_flag):new_ws = start_dir_make(root,name.replace(file_flag,""))zip_path = os.path.join(root,name)flag = decompress(zip_path,new_ws)del_old_zip(zip_path)rem_dir_extra(root,name.replace(file_flag,""))print(f'{root}\\{name}'.join(['文件：','\n解压完成\n']))rem_dir_extra(os.path.split(parent_path)[0],os.path.split(parent_path)[1])print("解压完成，请检查！！")print("请输入汇总model，S1或S2或S1S2或S1&S2")wb = Workbook()#ws = wb.active#ws.title="Summary"ws = wb.create_sheet("S1S2")ws1 = wb.create_sheet("S1")ws2 = wb.create_sheet("S2")#设置所有单元格的对齐方式为居中alignment = Alignment(horizontal='center',vertical='center') titlesS1 = ['data1','data2','data3'] titlesS2 = ['data4','data5','data6'] titlesS1S2 = ['data1','data2','data3','data4','data5','data6']#第一列波段设置区域ws.cell(row = 1,column = 1).value = '判定'ws.cell(row = 1,column = 1).alignment = alignmentws.cell(row = 5,column = 1).value = '文件名'ws.cell(row = 5,column = 1).alignment = alignmentws.cell(row = 6,column = 1).value = 'wave'ws.cell(row = 6,column = 1).alignment = alignmentws1.cell(row = 1,column = 1).value = '判定'ws1.cell(row = 1,column = 1).alignment = alignmentws1.cell(row = 5,column = 1).value = '文件名'ws1.cell(row = 5,column = 1).alignment = alignmentws1.cell(row = 6,column = 1).value = 'wave'ws1.cell(row = 6,column = 1).alignment = alignmentws2.cell(row = 1,column = 1).value = '判定'ws2.cell(row = 1,column = 1).alignment = alignmentws2.cell(row = 5,column = 1).value = '文件名'ws2.cell(row = 5,column = 1).alignment = alignmentws2.cell(row = 6,column = 1).value = 'wave'ws2.cell(row = 6,column = 1).alignment = alignmentfor l in range(380,1051):ws.cell(l-373,1).value = lws.cell(l-373,1).alignment = alignmentws1.cell(l-373,1).value = lws1.cell(l-373,1).alignment = alignmentws2.cell(l-373,1).value = lws2.cell(l-373,1).alignment = alignmentcontinue#*****************************************************************#读取指定文件夹#file_dir = os.getcwd()file_dir = parent_pathcurrent_path = os.path.dirname(os.path.abspath(__file__))#file_dir = r"D:\Users\gxcaoty\Desktop\39526-905\一车间"root, dirs, files = get_allfile_msg(file_dir)allFile_url = get_allfile_url(root, files)dir_numbers = len(dirs) #file_dir下的文件夹个数user_input = input("请输入S1或S2或S1S2或S1&S2\n")count = 0for root,dirs,files in os.walk(file_dir):for file_path in glob.glob(os.path.join(root,'*.csv')):if item in file_path and 'Add' not in file_path:print(file_path)xl = file_pathcount += 1c = countm = c - 1print(f"共发现 {m} 个文件！")#print(files_chose)try:last_part = extract_last_part_of_path(xl)#print(last_part) #filename为文件名filename = xl csv_data = read_csv_file(filename)df = csv_dataif user_input == "S1":df = df.iloc[:,1:4]df = df.astype(float)#print(df)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws1.cell(row = 2,column = 1).value = combinedwave1ws1.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,3):cal1 = df.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws1.cell(row = 1,column = n+2+3*m).value = "OK"ws1.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws1.cell(row = 1,column = n+2+3*m).value = "NG"ws1.cell(row = 1,column = n+2+3*m).alignment = alignment#print(ave1,ave2)ws1.cell(row = 2,column = n+2+3*m).value = cal1ws1.cell(row = 3,column = n+2+3*m).value = cal2continue#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S2":df = df.iloc[:,4:7]df = df.astype(float)#print(df)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws2.cell(row = 2,column = 1).value = combinedwave1ws2.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,3):cal1 = df.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws2.cell(row = 1,column = n+2+3*m).value = "OK"ws2.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws2.cell(row = 1,column = n+2+3*m).value = "NG"ws2.cell(row = 1,column = n+2+3*m).alignment = alignment#print(ave1,ave2)ws2.cell(row = 2,column = n+2+3*m).value = cal1ws2.cell(row = 3,column = n+2+3*m).value = cal2continue#文件名输出区域ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S1S2":df = df.iloc[:,1:7]df = df.astype(float)#print(df)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws.cell(row = 2,column = 1).value = combinedwave1ws.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,6):cal1 = df.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws.cell(row = 1,column = n+2+6*m).value = "OK"ws.cell(row = 1,column = n+2+6*m).alignment = alignmentelse:ws.cell(row = 1,column = n+2+6*m).value = "NG"ws.cell(row = 1,column = n+2+6*m).alignment = alignment#print(ave1,ave2)ws.cell(row = 2,column = n+2+6*m).value = cal1ws.cell(row = 3,column = n+2+6*m).value = cal2continue#文件名输出区域ws.cell(row = 5,column = 2+6*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1S2,2): ws.cell(row = 6,column = k+6*m).value = titlews.cell(row = 6,column = k+6*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws.cell(row = i+7,column = j+1+6*m).value = valueelif user_input == "S1&S2":#df = df.iloc[:,1:7]df1 = df.iloc[:,1:4]df2 = df.iloc[:,4:7]df1 = df1.astype(float)df2 = df2.astype(float)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws1.cell(row = 2,column = 1).value = combinedwave1ws2.cell(row = 2,column = 1).value = combinedwave1ws1.cell(row = 3,column = 1).value = combinedwave2ws2.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,3):cal1 = df1.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df1.iloc[wave2start-380+2:wave2end-380+2,n].max() cal3 = df2.iloc[wave1start-380+2:wave1end-380+2,n].max() cal4 = df2.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws1.cell(row = 1,column = n+2+3*m).value = "OK"ws1.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws1.cell(row = 1,column = n+2+3*m).value = "NG"ws1.cell(row = 1,column = n+2+3*m).alignment = alignmentif cal3 <= wave1standard and cal4 <= wave2standard :ws2.cell(row = 1,column = n+2+3*m).value = "OK"ws2.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws2.cell(row = 1,column = n+2+3*m).value = "NG"ws2.cell(row = 1,column = n+2+3*m).alignment = alignment#print(ave1,ave2)ws1.cell(row = 2,column = n+2+3*m).value = cal1ws1.cell(row = 3,column = n+2+3*m).value = cal2ws2.cell(row = 2,column = n+2+3*m).value = cal3ws2.cell(row = 3,column = n+2+3*m).value = cal4continue#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinuefor k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df1.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valuefor i ,row in df2.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelse:print("非指定指令")except Exception as e:print(e)if user_input == "S1":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S2'])wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S1S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S2'])wb.remove(wb['Sheet']) wb.save(output_file_path)elif user_input == "S1&S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)else :print("请检查程序！") elif standerd_input == "N":parent_path = zippathfile_flag = '.zip'flag = 1while flag:for root,dirs,files in os.walk(parent_path):for name in files:if name.endswith(file_flag):new_ws = start_dir_make(root,name.replace(file_flag,""))zip_path = os.path.join(root,name)flag = decompress(zip_path,new_ws)del_old_zip(zip_path)rem_dir_extra(root,name.replace(file_flag,""))print(f'{root}\\{name}'.join(['文件：','\n解压完成\n']))rem_dir_extra(os.path.split(parent_path)[0],os.path.split(parent_path)[1])print("解压完成，请检查！！")print("请输入汇总model，S1或S2或S1S2或S1&S2")wb = Workbook()#ws = wb.active#ws.title="Summary"ws = wb.create_sheet("S1S2")ws1 = wb.create_sheet("S1")ws2 = wb.create_sheet("S2")#设置所有单元格的对齐方式为居中alignment = Alignment(horizontal='center',vertical='center') titlesS1 = ['data1','data2','data3'] titlesS2 = ['data4','data5','data6'] titlesS1S2 = ['data1','data2','data3','data4','data5','data6']#第一列波段设置区域ws.cell(row = 5,column = 1).value = '文件名'ws.cell(row = 5,column = 1).alignment = alignmentws.cell(row = 6,column = 1).value = 'wave'ws.cell(row = 6,column = 1).alignment = alignmentws1.cell(row = 5,column = 1).value = '文件名'ws1.cell(row = 5,column = 1).alignment = alignmentws1.cell(row = 6,column = 1).value = 'wave'ws1.cell(row = 6,column = 1).alignment = alignmentws2.cell(row = 5,column = 1).value = '文件名'ws2.cell(row = 5,column = 1).alignment = alignmentws2.cell(row = 6,column = 1).value = 'wave'ws2.cell(row = 6,column = 1).alignment = alignmentfor l in range(380,1051):ws.cell(l-373,1).value = lws.cell(l-373,1).alignment = alignmentws1.cell(l-373,1).value = lws1.cell(l-373,1).alignment = alignmentws2.cell(l-373,1).value = lws2.cell(l-373,1).alignment = alignmentcontinue#*****************************************************************#读取指定文件夹#file_dir = os.getcwd()file_dir = parent_pathcurrent_path = os.path.dirname(os.path.abspath(__file__))#file_dir = r"D:\Users\gxcaoty\Desktop\39526-905\一车间"root, dirs, files = get_allfile_msg(file_dir)allFile_url = get_allfile_url(root, files)dir_numbers = len(dirs) #file_dir下的文件夹个数user_input = input("请输入S1或S2或S1S2或S1&S2\n")count = 0for root,dirs,files in os.walk(file_dir):for file_path in glob.glob(os.path.join(root,'*.csv')):if item in file_path and 'Add' not in file_path:print(file_path)xl = file_pathcount += 1c = countm = c - 1print(f"共发现 {m} 个文件！")#print(files_chose)try:last_part = extract_last_part_of_path(xl)#print(last_part) #filename为文件名filename = xl csv_data = read_csv_file(filename)df = csv_dataif user_input == "S1":df = df.iloc[:,1:4]df = df.astype(float)#print(df)#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S2":df = df.iloc[:,4:7]df = df.astype(float)#print(df)#文件名输出区域ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S1S2":df = df.iloc[:,1:7]df = df.astype(float)#print(df)#文件名输出区域ws.cell(row = 5,column = 2+6*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1S2,2): ws.cell(row = 6,column = k+6*m).value = titlews.cell(row = 6,column = k+6*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws.cell(row = i+7,column = j+1+6*m).value = valueelif user_input == "S1&S2":#df = df.iloc[:,1:7]df1 = df.iloc[:,1:4]df2 = df.iloc[:,4:7]df1 = df1.astype(float)df2 = df2.astype(float)#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinuefor k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df1.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valuefor i ,row in df2.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelse:print("非指定指令")except Exception as e:print(e)if user_input == "S1":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S2'])wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S1S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S2'])wb.remove(wb['Sheet']) wb.save(output_file_path)elif user_input == "S1&S2":output_file_path=os.path.join(current_path,f'Summaryout{item}{user_input}.xlsx')wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)else :print("请检查程序！") else:print("非指定指令！")elif mode == "4":parent_path = input("请输入汇总路径：路径格式：39827A/901/000b1664-57f5-4de9-adf2-c029898a669c \n")#parent_path = r"D:\Users\gxcaoty\Desktop\桌面文件\2025.2.21\TO柳洋text\39827A"file_dir = parent_pathitem_1 = input("请输入汇总机种：(例如：39642A)\n")item_p = input("请输入汇总P数： (例如：5)\n")item_2 = int('90'+str(item_p))standerd_input = input("是否需要标准？ \n")if standerd_input == "Y":folder_count = sum(1 for _ in os.scandir(file_dir) if _.is_dir())print(folder_count)user_input = input("请输入汇总model，S1或S2或S1S2或S1&S2 \n")#standerd_input = input("是否需要标准？\n") with os.scandir(file_dir) as it:for entry in it:if entry.is_dir():print(entry.name)file_dir1 = file_dir+'\\'+entry.nameprint(file_dir1)file_dir2 = file_dir1.replace("\\","")count = 0wb = Workbook()#ws = wb.active#ws.title="Summary"ws = wb.create_sheet("S1S2")ws1 = wb.create_sheet("S1")ws2 = wb.create_sheet("S2") #设置所有单元格的对齐方式为居中alignment = Alignment(horizontal='center',vertical='center') titlesS1 = ['data1','data2','data3'] titlesS2 = ['data4','data5','data6'] titlesS1S2 = ['data1','data2','data3','data4','data5','data6']#第一列波段设置区域ws.cell(row = 1,column = 1).value = '判定'ws.cell(row = 1,column = 1).alignment = alignmentws.cell(row = 5,column = 1).value = '文件名'ws.cell(row = 5,column = 1).alignment = alignmentws.cell(row = 6,column = 1).value = 'wave'ws.cell(row = 6,column = 1).alignment = alignmentws1.cell(row = 1,column = 1).value = '判定'ws1.cell(row = 1,column = 1).alignment = alignmentws1.cell(row = 5,column = 1).value = '文件名'ws1.cell(row = 5,column = 1).alignment = alignmentws1.cell(row = 6,column = 1).value = 'wave'ws1.cell(row = 6,column = 1).alignment = alignmentws2.cell(row = 1,column = 1).value = '判定'ws2.cell(row = 1,column = 1).alignment = alignmentws2.cell(row = 5,column = 1).value = '文件名'ws2.cell(row = 5,column = 1).alignment = alignmentws2.cell(row = 6,column = 1).value = 'wave'ws2.cell(row = 6,column = 1).alignment = alignmentfor l in range(380,1051):ws.cell(l-373,1).value = lws.cell(l-373,1).alignment = alignmentws1.cell(l-373,1).value = lws1.cell(l-373,1).alignment = alignmentws2.cell(l-373,1).value = lws2.cell(l-373,1).alignment = alignmentcontinue#*******************************for root,dirs,files in os.walk(file_dir1):for file_path in glob.glob(os.path.join(root,'*.csv')):for j in range(901,item_2+1):item = item_1 + '-' + str(j)if item in file_path and 'Add' not in file_path:print(file_path)xl = file_pathcount += 1c = countm = c - 1print(f"共发现 {c} 个文件！")try:last_part = extract_last_part_of_path(xl)filename = xl csv_data = read_csv_file(filename)df = csv_dataif user_input == "S1&S2":df1 = df.iloc[:,1:4]df2 = df.iloc[:,4:7]df1 = df1.astype(float)df2 = df2.astype(float)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws1.cell(row = 2,column = 1).value = combinedwave1ws2.cell(row = 2,column = 1).value = combinedwave1ws1.cell(row = 3,column = 1).value = combinedwave2ws2.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,3):cal1 = df1.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df1.iloc[wave2start-380+2:wave2end-380+2,n].max() cal3 = df2.iloc[wave1start-380+2:wave1end-380+2,n].max() cal4 = df2.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws1.cell(row = 1,column = n+2+3*m).value = "OK"ws1.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws1.cell(row = 1,column = n+2+3*m).value = "NG"ws1.cell(row = 1,column = n+2+3*m).alignment = alignmentif cal3 <= wave1standard and cal4 <= wave2standard :ws2.cell(row = 1,column = n+2+3*m).value = "OK"ws2.cell(row = 1,column = n+2+3*m).alignment = alignmentelse:ws2.cell(row = 1,column = n+2+3*m).value = "NG"ws2.cell(row = 1,column = n+2+3*m).alignment = alignment#print(ave1,ave2)ws1.cell(row = 2,column = n+2+3*m).value = cal1ws1.cell(row = 3,column = n+2+3*m).value = cal2ws2.cell(row = 2,column = n+2+3*m).value = cal3ws2.cell(row = 3,column = n+2+3*m).value = cal4continue#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinuefor k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df1.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valuefor i ,row in df2.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S1S2":df = df.iloc[:,1:7]df = df.astype(float)#**********************************************************combinedwave1 = f'{wave1start},{wave1end},{wave1standard}'combinedwave2 = f'{wave2start},{wave2end},{wave2standard}'#print(combinedwave1)ws.cell(row = 2,column = 1).value = combinedwave1ws.cell(row = 3,column = 1).value = combinedwave2#***********************************************************#计算判定区域for n in range(0,6):cal1 = df.iloc[wave1start-380+2:wave1end-380+2,n].max() cal2 = df.iloc[wave2start-380+2:wave2end-380+2,n].max() if cal1 <= wave1standard and cal2 <= wave2standard :ws.cell(row = 1,column = n+2+6*m).value = "OK"ws.cell(row = 1,column = n+2+6*m).alignment = alignmentelse:ws.cell(row = 1,column = n+2+6*m).value = "NG"ws.cell(row = 1,column = n+2+6*m).alignment = alignment#print(ave1,ave2)ws.cell(row = 2,column = n+2+6*m).value = cal1ws.cell(row = 3,column = n+2+6*m).value = cal2continue#文件名输出区域ws.cell(row = 5,column = 2+6*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1S2,2): ws.cell(row = 6,column = k+6*m).value = titlews.cell(row = 6,column = k+6*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws.cell(row = i+7,column = j+1+6*m).value = valueelse :print("指定错误，请重新运行！")except Exception as e:print(e) if user_input == "S1&S2":output_file_path=os.path.join(entry,f'Summaryout{item_1}{"-"}{user_input}{entry.name}.xlsx')wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S1S2":output_file_path=os.path.join(entry,f'Summaryout{item_1}{"-"}{user_input}{entry.name}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)else:print("指令错误，请重新运行！")elif standerd_input == "N":print("请输入汇总model，S1或S2或S1S2或S1&S2") folder_count = sum(1 for _ in os.scandir(file_dir) if _.is_dir())print(folder_count)user_input = input("请输入汇总model，S1或S2或S1S2或S1&S2 \n")#standerd_input = input("是否需要标准？\n") with os.scandir(file_dir) as it:for entry in it:if entry.is_dir():print(entry.name)file_dir1 = file_dir+'\\'+entry.nameprint(file_dir1)file_dir2 = file_dir1.replace("\\","")count = 0wb = Workbook()#ws = wb.active#ws.title="Summary"ws = wb.create_sheet("S1S2")ws1 = wb.create_sheet("S1")ws2 = wb.create_sheet("S2") #设置所有单元格的对齐方式为居中alignment = Alignment(horizontal='center',vertical='center') titlesS1 = ['data1','data2','data3'] titlesS2 = ['data4','data5','data6'] titlesS1S2 = ['data1','data2','data3','data4','data5','data6']#第一列波段设置区域ws.cell(row = 5,column = 1).value = '文件名'ws.cell(row = 5,column = 1).alignment = alignmentws.cell(row = 6,column = 1).value = 'wave'ws.cell(row = 6,column = 1).alignment = alignmentws1.cell(row = 5,column = 1).value = '文件名'ws1.cell(row = 5,column = 1).alignment = alignmentws1.cell(row = 6,column = 1).value = 'wave'ws1.cell(row = 6,column = 1).alignment = alignmentws2.cell(row = 5,column = 1).value = '文件名'ws2.cell(row = 5,column = 1).alignment = alignmentws2.cell(row = 6,column = 1).value = 'wave'ws2.cell(row = 6,column = 1).alignment = alignmentfor l in range(380,1051):ws.cell(l-373,1).value = lws.cell(l-373,1).alignment = alignmentws1.cell(l-373,1).value = lws1.cell(l-373,1).alignment = alignmentws2.cell(l-373,1).value = lws2.cell(l-373,1).alignment = alignmentcontinue#*******************************for root,dirs,files in os.walk(file_dir1):for file_path in glob.glob(os.path.join(root,'*.csv')):for j in range(901,item_2+1):item = item_1 + '-' + str(j)if item in file_path and 'Add' not in file_path:print(file_path)xl = file_pathcount += 1c = countm = c - 1print(f"共发现 {c} 个文件！")try:last_part = extract_last_part_of_path(xl)filename = xl csv_data = read_csv_file(filename)df = csv_dataif user_input == "S1&S2":df1 = df.iloc[:,1:4]df2 = df.iloc[:,4:7]df1 = df1.astype(float)df2 = df2.astype(float)#文件名输出区域ws1.cell(row = 5,column = 2+3*m).value = last_part ws2.cell(row = 5,column = 2+3*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1,2): ws1.cell(row = 6,column = k+3*m).value = titlews1.cell(row = 6,column = k+3*m).alignment = alignmentcontinuefor k,title in enumerate(titlesS2,2): ws2.cell(row = 6,column = k+3*m).value = titlews2.cell(row = 6,column = k+3*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df1.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws1.cell(row = i+7,column = j+1+3*m).value = valuefor i ,row in df2.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws2.cell(row = i+7,column = j+1+3*m).value = valueelif user_input == "S1S2":df = df.iloc[:,1:7]df = df.astype(float)#文件名输出区域ws.cell(row = 5,column = 2+6*m).value = last_part #标题输出区域(data1~data6)for k,title in enumerate(titlesS1S2,2): ws.cell(row = 6,column = k+6*m).value = titlews.cell(row = 6,column = k+6*m).alignment = alignmentcontinue#源数据输出区域for i ,row in df.iterrows():#print(i)for j ,value in enumerate(row,start=1):ws.cell(row = i+7,column = j+1+6*m).value = valueelse:print("指令错误，请重新运行！")except Exception as e:print(e) if user_input == "S1&S2":output_file_path=os.path.join(entry,f'Summaryout{item_1}{"-"}{user_input}{entry.name}.xlsx')wb.remove(wb['S1S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)elif user_input == "S1S2":output_file_path=os.path.join(entry,f'Summaryout{item_1}{"-"}{user_input}{entry.name}.xlsx')wb.remove(wb['S1'])wb.remove(wb['S2'])wb.remove(wb['Sheet'])wb.save(output_file_path)else:print("指令错误，请重新运行！")else:print("非指定指令！！")else:print("非指定指令！！")
总结
分享：
要想自己做决定，就不要和别人比较。虽然说参考别人的意见可以避免独断，但是只要和别人的想法做比较就永远无法做到独立决断。