python写入数据到csv或xlsx文件的3种方法

# -*- coding: utf-8 -*-import csvwith 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 xlimport osdef 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 pdresult_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)