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()