python 二手房信息抓取

仿照西瓜视频的教程完成以下二手房信息抓取，并生成柱状图的程序。

 from pyecharts.charts import Bar  其中这一行是根据网上https://cloud.tencent.com/developer/article/1588507文章改写，可能是因为 pyecharts升级所致。

import requests

from lxml import html

import pandas as pd

from pyecharts.charts import Bar

etree = html.etree

resp=requests.get("https://zz.lianjia.com/ershoufang/").content.decode()

#print(resp)

html = etree.HTML(resp)

div_list = html.xpath("//div[@class='info clear']")

#print(div_list)

# i=0

ershoufang=[]

for div in div_list:

    name=div.xpath(".//div[@class='positionInfo']/a/text()")[0]

    unitPrice=div.xpath(".//div[@class='unitPrice']/span/text()")[0].replace("元/平","").replace(",","")

    ershoufang.append([name,unitPrice])

    #print("位置：%s--价格:%s"%(name,unitPrice))

title=['小区','单价']

table=pd.DataFrame(ershoufang,columns=title)

print(table)

chart=Bar()

chart.add_xaxis(list(table["小区"]))

chart.add_yaxis("郑州市二手房价格",list(table["单价"]))

chart.render("./郑州二手房信息.html")