根本原因是Python版本问题python2.x中要求用‘wb’，python3.x中要求用'w'

首先声明：CSV文件是可以用二进制模式写入的

python文档（传送门）关于CSV的一个用法示例：

文件打开的mode是“wb”

with open('rent.csv','wb') as csv_file:

且与Pythone3里面字符串和二进制数据是两种类型，所以要将str类型转换成bytes类型

出错部分代码

#把str类型的housetitle、house_location、house_money编码成bytes类型house_title = house_title.encode("utf8")house_location = house_location.encode("utf8")house_money = house_money.encode("utf8")house_url = house_url.encode("utf8")#查看house_title等的类型print(type(house_title),type(house_location),type(house_money),type(house_url))# 向csv文件写入数据with open('rent.csv','wb') as csv_file:    csv_writer = csv.writer(csv_file,delimiter=',')    csv_writer.writerow([house_title, house_location, house_money, house_url])

错误提示

可以看到这里输出的house_title, house_location, house_money, house_url类型都是bytes

然而下面还是报了类型错误

Please Tell Me Why？

主程序全部代码

from bs4 import BeautifulSoupfrom urllib.parse import urljoinimport requestsimport csvurl = "http://nj.58.com/pinpaigongyu/pn/{page}/?minprice=1000_1500"page = 1print("fetch: ", url.format(page=page))# 抓取目标页面response = requests.get(url.format(page=page))# 创建一个BeautifulSoup对象html = BeautifulSoup(response.text, "lxml") # 获取class=list下的所有li元素house_list = html.select(".list > li")for house in house_list:    house_title = house.select("h2")[0].string    house_url = urljoin(url, house.select("a")[0]["href"])        house_info_list = house_title.split()        house_location = house_info_list[1]    house_money = house.select(".money")[0].select("b")[0].string    #把str类型的housetitle、house_location、house_money编码成bytes类型    house_title = house_title.encode("utf8")    house_location = house_location.encode("utf8")    house_money = house_money.encode("utf8")    house_url = house_url.encode("utf8")    #查看house_title等的类型    print(type(house_title),type(house_location),type(house_money),type(house_url))        # 向csv文件写入数据    with open('rent.csv','wb') as csv_file:        csv_writer = csv.writer(csv_file,delimiter=',')        csv_writer.writerow([house_title, house_location, house_money, house_url])     #用with的写法就不用写关闭文件的csv_file.close()语句了