1.基本示例
# 创建平方数列表
squares = [x**2 for x in range(5)]
print(squares)  # [0, 1, 4, 9, 16]

# 创建偶数列表
evens = [x for x in range(10) if x % 2 == 0]
print(evens)  # [0, 2, 4, 6, 8]


2.带条件的列表生成式
# 过滤出长度大于3的单词
words = ['apple', 'cat', 'dog', 'elephant', 'bat']
long_words = [word for word in words if len(word) > 3]
print(long_words)  # ['apple', 'elephant']

# 处理字符串列表
names = ['alice', 'bob', 'charlie']
capitalized = [name.title() for name in names]
print(capitalized)  # ['Alice', 'Bob', 'Charlie']


3.多重循环
# 创建坐标列表
coordinates = [(x, y) for x in range(3) for y in range(2)]
print(coordinates)  # [(0, 0), (0, 1), (1, 0), (1, 1), (2, 0), (2, 1)]

# 矩阵转置
matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
transposed = [[row[i] for row in matrix] for i in range(3)]
print(transposed)  # [[1, 4, 7], [2, 5, 8], [3, 6, 9]]

1.基本示例
# 创建数字平方字典
squares_dict = {x: x**2 for x in range(5)}
print(squares_dict)  # {0: 0, 1: 1, 2: 4, 3: 9, 4: 16}

# 转换列表为字典
fruits = ['apple', 'banana', 'cherry']
fruit_dict = {fruit: len(fruit) for fruit in fruits}
print(fruit_dict)  # {'apple': 5, 'banana': 6, 'cherry': 6}


2.带条件的字典生成式
# 只保留值大于2的项
numbers = {'a': 1, 'b': 2, 'c': 3, 'd': 4}
filtered = {k: v for k, v in numbers.items() if v > 2}
print(filtered)  # {'c': 3, 'd': 4}

# 键值转换
original = {'a': 1, 'b': 2, 'c': 3}
swapped = {v: k for k, v in original.items()}
print(swapped)  # {1: 'a', 2: 'b', 3: 'c'}


3.处理字符串
# 创建字符索引字典
text = "hello"
char_index = {char: index for index, char in enumerate(text)}
print(char_index)  # {'h': 0, 'e': 1, 'l': 2, 'l': 3, 'o': 4}

# 大小写转换
data = {'Name': 'Alice', 'Age': 25, 'City': 'Beijing'}
lowercase_keys = {k.lower(): v for k, v in data.items()}
print(lowercase_keys)  # {'name': 'Alice', 'age': 25, 'city': 'Beijing'}

1.基本示例
# 创建生成器表达式
squares_gen = (x**2 for x in range(5))
print(squares_gen)  # <generator object <genexpr> at 0x...>

# 使用生成器
for num in squares_gen:
    print(num, end=" ")  # 0 1 4 9 16
print()

# 生成器只能使用一次
squares_gen = (x**2 for x in range(3))
print(list(squares_gen))  # [0, 1, 4]
print(list(squares_gen))  # [] - 已经耗尽


2. 处理大文件时节省内存
# 假设有一个大文件，我们想统计行数
lines = (line for line in open('large_file.txt', 'r') if 'error' in line)
error_count = sum(1 for _ in lines)
print(f"错误行数: {error_count}")

3.链式处理数据
numbers = (x for x in range(10))
squared = (x**2 for x in numbers)
filtered = (x for x in squared if x % 2 == 0)
result = list(filtered)
print(result)  # [0, 4, 16, 36, 64]