csv 2 dict python 存入mongo python数据存入csv

三种方式使用python写数据到csv或xlsx文件：

第一种：使用csv模块，写入到csv格式文件

# -*- 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)

第二种：使用openpyxl模块，写入到xlsx格式文件

# -*- 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\\")

第三种，使用pandas，可以写入到csv或者xlsx格式文件

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)

这种代码最少，最方便