当当书籍可视化分析python代码

以下是一个简单的当当书籍可视化分析的Python代码示例：

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

# 获取图书数据
url = "http://search.dangdang.com/?key=python&act=input&page_index=1"
response = requests.get(url)
soup = BeautifulSoup(response.content, "html.parser")
books = soup.find_all("li", class_="bigimg")

# 数据清洗和处理
book_list = []
for book in books:
    title = book.find("a", class_="pic").get("title")
    author = book.find("div", class_="publisher_info").find_all("a")[0].text
    publisher = book.find("div", class_="publisher_info").find_all("a")[1].text
    price = float(book.find("span", class_="price_n").text.strip("¥"))
    sales = int(book.find("span", class_="search_sales").text.strip("人收藏"))
    book_list.append({"title": title, "author": author, "publisher": publisher, "price": price, "sales": sales})

df = pd.DataFrame(book_list)

# 可视化展示
plt.figure(figsize=(12, 6))
sns.barplot(x="publisher", y="sales", data=df)
plt.title("Python图书销售量排名前10的出版社")
plt.xlabel("出版社")
plt.ylabel("销售量")
plt.show()

以上代码通过爬取当当网上Python图书的数据，使用pandas对数据进行清洗和处理，使用seaborn和matplotlib进行可视化展示。具体地，展示了Python图书销售量排名前10的出版社的条形图。