用pycharm爬取此网站https://nba.hupu.com/stats/players的球员数据

在PyCharm中爬取NBA虎扑网的球员数据，你需要结合`requests`、`BeautifulSoup`以及可能的`lxml`库（如果BeautifulSoup遇到复杂结构选择器性能不佳）。这里给出一个基础步骤示例：

1. 安装所需库：

   pip install requests beautifulsoup4 lxml

2. 编写Python脚本：

import requests
from bs4 import BeautifulSoup, SoupStrainer

def fetch_player_data(url):
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
    }
    response = requests.get(url, headers=headers)
    
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'lxml')  # 或者 'html.parser'
        
        # 根据页面结构找到球员数据部分，这取决于具体的HTML结构
        player_data_div = soup.select_one('.player-data')  # 假设这部分数据在一个div里

        # 解析并提取数据，这里仅作示例，具体字段可能需要替换为实际的HTML元素ID或class
        players = []
        for table_row in player_data_div.find_all('tr'):
            cols = table_row.find_all('td')
            if cols:  # 确保表格行存在列
                player_info = [col.get_text().strip() for col in cols]
                players.append(player_info)

        return players

# 获取球员列表
url = 'https://nba.hupu.com/stats/players'
data = fetch_player_data(url)

# 输出或进一步处理数据
for player in data:
    print(player)