自己实践成功的从csv文件中读取用户名密码并实际登录系统后判断是否登录成功,并将已经运行的用户名密码及运行结果输出到一个新的csv文件中~ # coding=utf-8 from selenium import webdriver from time import sleep import keyword from selenium.webdriver.common.keys import Keys from selenium.webdriver.support.wait import WebD
#循环读取csv文件中的数据,可以作为用户名,密码等使用from selenium import webdriverimport csv#获取csv文件中password列with open(r'C:\bbs\data\logindata.csv','r',encoding='utf-8') as csvfile: text=csv.DictReader(csvfile) pwd=[row['password'] for row in text]#获取csv文件中username列w
续上一篇博客(‘’selenium爬取NBA并将数据存储到MongoDB‘)https://www.cnblogs.com/lutt/p/10810581.html 本篇的内容是将存储到mongo的数据用pandas读取出来,存到CSV文件,然后pandas读取CSV文件. 其中mongo的操作涉及到授权的问题: 如果遇到报错关于authenticate的,需要加授权,用时需要将各参数换成自己的 #导入相应的包 import pymongo import pandas as pd from pa
sparkR读取csv文件 The general method for creating SparkDataFrames from data sources is read.df. This method takes in the path for the file to load and the type of data source, and the currently active SparkSession will be used automatically. SparkR suppo