遍历并读取目录下所有csv文件，输出结果到excel中

主要分为以下两个部分：

1：遍历并读取目录下所有CSV文件，查询固定行数据

2：结果保存到excel文件

#!/usr/bin/env python
# coding=utf-8
import os
import csv
import datetime
import xlsxwriter
import xlrd, xlwt

from xlutils.copy import copy


filePath = r'D:\A123\PSA\test\1PSA\new'
fileList = os.listdir(filePath)

now = datetime.datetime.now().strftime('%Y-%m-%d %H-%M-%S') #当前时间
filename = u'%s/result_%s.xlsx' % (filePath, now)  #存放excel的路径
workfile = xlsxwriter.Workbook(filename)  # 创建Excel文件,保存
worksheet = workfile.add_worksheet('匹配失败反馈表')  # 创建工作表
#format4 = workfile.add_format({'font_size': '12', 'align': 'center', 'valign': 'vcenter', 'bold': True, 'font_color': '#217346', 'bg_color':'#FFD1A4'})

#设置自己想要的标题
worksheet.write(0, 0, "文件名")#, format4)  # 设置列的样式
worksheet.write(0, 1, "最小值")#, format4)  # 设置列的样式
worksheet.write(0, 2, "最大值")#, format4)  # 设置列的样式
 
line = 1

for file in fileList:
    path = os.path.join(filePath, file)
    if os.path.isfile(path):
        file = open(path, 'r', encoding='utf-8')
        print(path)
        
        csvFile = csv.reader(file)
        # 读取一行，下面的reader中已经没有该行了
        #head_row = next(csvFile)
        #print(head_row)
        
        list = []
        for i,rows in enumerate(csvFile):
            if i == 1033:  # 第1030内行
                row = rows
                for i in range(120,136): # DQ到EF
                    #print(int(row[i]))
                    list.append(row[i])
                #print(list)  # 列表显示从DQ到EF的值
                print("最小值=", sorted(list)[0], "最大值=", sorted(list)[15], "\n")  # 由小到大排列
                
                # 写入的数据
                worksheet.write(line, 0, path)
                worksheet.write(line, 1, sorted(list)[0])
                worksheet.write(line, 2, sorted(list)[15])
    line = line + 1

workfile.close()

参照：

https://blog.csdn.net/weixin_30501857/article/details/97685516?utm_medium=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromMachineLearnPai2%7Edefault-1.control&depth_1-utm_source=distribute.pc_relevant.none-task-blog-2%7Edefault%7EBlogCommendFromMachineLearnPai2%7Edefault-1.control

https://www.jb51.net/article/180332.htm

https://www.cnblogs.com/Christina-Notebook/p/10867602.html