python爬虫---链家网二手房价采集

import requests

from lxml import etree

import pandas as pd

from pyecharts.charts import Bar

from pyecharts.charts import WordCloud

from pyecharts import options as opts

import os

# resp = requests.get("https://sjz.lianjia.com/ershoufang/").text  ---->str

from pyecharts.globals import ThemeType

resp = requests.get("https://sjz.lianjia.com/ershoufang/").content.decode()  # ---->bytes 字节

html = etree.HTML(resp)

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

# 设置一个空列表保存小区和小区房价

ershoufang = []

for div in div_list:

    # 小区名称

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

    # 小区单价

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

    ershoufang.append([name, float(price)])

print(ershoufang)

title = ['小区名称', '元/平']

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

bar = Bar(init_opts=opts.InitOpts(width="100%",theme=ThemeType.LIGHT))

bar.add_xaxis(list(table["小区名称"]))

bar.add_yaxis("石家庄二手房价信息",list(table["元/平"]))

bar.set_series_opts(label_opts=opts.LabelOpts(is_show=True))

bar.set_global_opts(title_opts=opts.TitleOpts(title="石家庄二手房价信息"))

bar.render("ershoufang.html")

os.system("ershoufang.html")