python 爬虫可视化，天气

网站地址='https://lishi.tianqi.com/chengdu/201704'

import matplotlib.pyplot as plt
import requests
from lxml import etree
from numpy import *
import re
if __name__ == '__main__':
    k = []
    l = []
    for i in range(21,22):
        for j in range(1,13):
            if j<10:
                url = "https://lishi.tianqi.com/chengdu/20%s0%s.html"%(i,j)
                headers={'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.60 Safari/537.36 Edg/100.0.1185.29'}
                res = requests.get(url,headers=headers)
                res.encoding = res.apparent_encoding
                tree = etree.HTML(res.text)
                es = tree.xpath('//ul[@class="thrui"]/li/div/text()')#温度
                a=es[1:-1:5]#最高气温，用切片
                b=es[2:-1:5]#最低气温，用切片
                # 1.将score_list列表转换为以“，”为分隔符的字符串
                list_string = ",".join(a)
                # 2.使用re模块下的方法——findall对name_score_list_string进行正则匹配，提取出所有的数值型字符串
                score_list = re.findall(r"\d+", list_string)
                # 3.将得到的score_list中的元素转换为int型
                list_int = list(map(int, score_list))
                f = mean(list_int)#求平均数
                f1=round(f,0)

                ist=",".join(b)
                score_lis =re.findall(r"\d+",ist)
                list_in =list(map(int,score_lis))
                g=mean(list_in)
                g1=round(g,0)
                k.append(int(f1))
                l.append(int(g1))
    x1 = range(1, 10)
    x2 = range(1, 10)
    plt.rcParams['font.sans-serif'] = ['SimHei']  # 显示中文标签
    plt.rcParams['axes.unicode_minus'] = False
    plt.plot(x1, k, label='最高温度', linewidth=3, color='r', marker='o',
                markerfacecolor='blue', markersize=12)
    plt.plot(x1, l, label='最低温度')
    plt.xlabel('月份')
    plt.ylabel('气温')
                # 添加图形标题
    plt.title('每月平均最高气温波动趋势')
    plt.legend()
    # 显示图形
    plt.show()