问题描述；要爬取四个城市的天气数据并实现可视化，代码如下；
import re
import requests
from bs4 import BeautifulSoup
headers={'User_Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER'}
city ={'沂水':70641,'临沂':54938,'淄博':54830,'苏州':58357}
for value in city.values():
if value =='苏州':
continue
for key in city.keys():
if key == 58357:
continue
html = requests.get(url='https://tianqi.xxxx（版权问题，防被吞）.com/wea_history/{}.htm'.format(value),headers=headers).content.decode('utf_8')
soup =BeautifulSoup(html,'html.parser')
spider =soup.find_all('tr')
# print(spider)
# 对每日最高气温进行爬取
max_condition =re.compile('<td style="color:#ff5040;">(.*?)</td>')
Highest =max_condition.findall (str(spider))
# print(Highest)
# 爬取最低气温
lowest_condition =re.compile('<td style="color:#3097fd;">(.*?)</td>')
lowest=lowest_condition.findall (str(spider))
# print(lowest)
# 爬取其他数据
reget= "<td>(.*?)</td>"
pattern=re.compile(reget,re.S)
re_list= (pattern.findall(html))
print(re_list)
# 爬取时间
Time =re_list[0::4]
# print(Time)
# 爬取天气的晴阴
Weather_Phenomenon = re_list[1::4]
# print(Weather_Phenomenon)
# 爬取风向
Windy =str(re_list[2::4])
print(Windy)
# 爬取空气质量
Fine=re.compile('<span class="history-aqi wea-aqi-1">(.*?) 优</span>')
fine_list =Fine.findall(str(re_list))
# print(Fine_list)
fine_len = len(fine_list)
# print(fine_len)
Moderate=re.compile('<span class="history-aqi wea-aqi-4">189 中度</span>')
Moderate_list =Moderate.findall(str(re_list))
Moderate_len=len(Moderate_list)
Mild=re.compile('<span class="history-aqi wea-aqi-3">(.*?) 轻度</span>')
Mild_list =Mild.findall(str(re_list))
Mild_len =len(Mild_list)
Good =re.compile('<span class="history-aqi wea-aqi-2">(.*?) 良</span>')
Good_list =Good.findall(str(re_list))
# print(Good_list)
Good_len =len(Good_list)
import matplotlib
import matplotlib.pyplot as plt
matplotlib.rcParams['font.sans-serif'] = ['SimHei']
matplotlib.rcParams['font.family']='sans-serif'
matplotlib.rcParams['axes.unicode_minus'] = False
plt.plot(Time,lowest,c ='blue',alpha =1)
plt.xticks(Time[::5])
plt.title('{}最低天气数据温度变化视图'.format(key))
plt.xlabel('日期',fontsize=16)
plt.ylabel('最高位',fontsize=16)
plt.show()
plt.title('{}最高天气数据温度变化视图'.format(key))
plt.xlabel('日期',fontsize=16)
plt.ylabel('最低温',fontsize=16)
plt.plot(Time,Highest,c ='red',alpha =1)
plt.xticks(Time[::5])
plt.grid(color ='0',linestyle ='--')
plt.show()
plt.subplot(1,1,1)
x =['优秀','轻度','良好','中度']
y =[fine_len,Mild_len,Good_len,Moderate_len]
plt.bar(x,y)
plt.xlabel('空气质量')
plt.ylabel('天数')
plt.title('{}各种空气质量所占天数视图'.format(key))
plt.show()
我原本的打算是想用循环将每个字典中的城市数据进行可视化，可是运行的结果却是每个图像都是一模一样。我想，可能是变量value再循环的时候出了问题，结果如下图；
我不知道出了什么问题，希望大家能指点指点，谢谢
