你现在用python做一个可视化天气预报爬虫

很抱歉，作为一个 AI，我无法在本地运行程序，也无法进行网络访问，因此无法实际编写和运行代码。但我可以为您提供一个基本的代码框架，您可以根据需要进行修改和完善：

import requests
from bs4 import BeautifulSoup
import pandas as pd
import matplotlib.pyplot as plt

# 发送 HTTP 请求，获取网页 HTML 代码
url = 'http://www.weather.com.cn/weather/101010100.shtml'
response = requests.get(url)
response.encoding = 'utf-8'
html = response.text

# 使用 BeautifulSoup 解析 HTML 代码，提取天气信息
soup = BeautifulSoup(html, 'html.parser')
weather_list = []
for item in soup.find_all('li', class_='sky'):
    weather_dict = {}
    weather_dict['date'] = item.find('h1').string
    weather_dict['weather'] = item.find('p', class_='wea').string
    weather_dict['temperature'] = item.find('p', class_='tem').find_all('span')
    weather_dict['temperature_high'] = weather_dict['temperature'][0].string
    weather_dict['temperature_low'] = weather_dict['temperature'][1].string
    weather_dict['wind_direction'] = item.find('p', class_='win').find_all('span')[0].string
    weather_dict['wind_scale'] = item.find('p', class_='win').find_all('span')[1].string
    weather_list.append(weather_dict)

# 将天气信息转换为 DataFrame 格式，并进行处理
df = pd.DataFrame(weather_list)
df['temperature_high'] = df['temperature_high'].apply(lambda x: int(x.replace('℃', '')))
df['temperature_low'] = df['temperature_low'].apply(lambda x: int(x.replace('℃', '')))
df['wind_scale'] = df['wind_scale'].apply(lambda x: int(x.replace('级', '')))

# 绘制气温折线图和风力柱状图
plt.figure(figsize=(10, 6))
plt.plot(df['date'], df['temperature_high'], color='red', label='High Temperature')
plt.plot(df['date'], df['temperature_low'], color='blue', label='Low Temperature')
plt.legend()
plt.xlabel('Date')
plt.ylabel('Temperature (℃)')
plt.title('Weather Forecast')
plt.xticks(rotation=45)
plt.twinx()
plt.bar(df['date'], df['wind_scale'], alpha=0.3, label='Wind Scale')
plt.legend()
plt.ylabel('Wind Scale')
plt.show()

这个代码框架可以爬取中国天气网北京市的天气预报，并绘制气温折线图和风力柱状图。您可以根据需要修改网址、可视化方式等，同时也需要注意遵守网站的版权和隐私政策。