关于Python生成器的疑问解答：十大实战案例

原创﹏ヽ暗。殇╰゛Y 2025-01-02 09:27 58阅读 0赞

生成器是Python中一种强大的迭代工具，它可以节省内存，实现动态计算。以下是我为你整理的关于Python生成器的十个实战案例：

1. **无限循环**：
   ```python
   def infinite_loop():
       while True:
           yield 'Looping'

g = infinite_loop()
   for _ in range(5):
       print(g.send('Iteration {}'.format(_)))))
   ```
2. **斐波那契数列**：
   ```python
   def fibonacci():
       a, b = 0, 1
       while True:
           yield a
           a, b = b, a + b

fib_gen = fibonacci()
   for _ in range(10):
       print(fib_gen.send(_)))
   ```
3. **文件迭代**：
   ```python
   def file_iterator(filename):
       with open(filename, 'r') as f:
           yield from map(lambda line: line.strip(), f.readlines()))

filename = 'example.txt'
   for line in file_iterator(filename):
       print(line)
   ```
4. **网络数据抓取**（如使用requests库）：
   ```python
   import requests

def web_data_iterator(url, limit=10):
       response = requests.get(url)
       if not response.ok:
           raise Exception('Failed to fetch data from {}'.format(url)))

for article in response.json()[:limit]: 
           yield article

url = 'https://example.com/api/articles'
   for article in web_data_iterator(url, limit=5):
       print(article)
   ```
5. **列表推导式**：
   ```python
   numbers = [1, 2, 3], [4, 5, 6], [7, 8, 9]]

def list_comprehension():
    squares = [num**2 for num in number_list] # 示例
    return squares

squares = list_comprehension()
for square in squares:
    print(square)
```
以上就是Python生成器的实战案例，希望对你理解和使用生成器有帮助。