python写入数据到csv或xlsx文件的3种方法

            
# -*- coding: utf-8 -*-
import csv

with open("my.csv", "a", newline='') as f:
  writer = csv.writer(f)
  writer.writerow(["URL", "predict", "score"])
  row = [['1', 1, 1], ['2', 2, 2], ['3', 3, 3]]
  for r in row:
    writer.writerow(r)
          

            
# -*- coding: utf-8 -*-
import openpyxl as xl
import os


def write_excel_file(folder_path):
  result_path = os.path.join(folder_path, "my.xlsx")
  print(result_path)
  print('***** 开始写入excel文件 ' + result_path + ' ***** \n')
  if os.path.exists(result_path):
    print('***** excel已存在，在表后添加数据 ' + result_path + ' ***** \n')
    workbook = xl.load_workbook(result_path)
  else:
    print('***** excel不存在，创建excel ' + result_path + ' ***** \n')
    workbook = xl.Workbook()
    workbook.save(result_path)
  sheet = workbook.active
  headers = ["URL", "predict", "score"]
  sheet.append(headers)
  result = [['1', 1, 1], ['2', 2, 2], ['3', 3, 3]]
  for data in result:
    sheet.append(data)
  workbook.save(result_path)
  print('***** 生成Excel文件 ' + result_path + ' ***** \n')


if __name__ == '__main__':
  write_excel_file("D:\core\\")
          

            
import pandas as pd
result_list = [['1', 1, 1], ['2', 2, 2], ['3', 3, 3]]
columns = ["URL", "predict", "score"]
dt = pd.DataFrame(result_list, columns=columns)
dt.to_excel("result_xlsx.xlsx", index=0)
dt.to_csv("result_csv.csv", index=0)