# 創(chuàng)建-操作-輸出完整演示
# 初始化商品列表
products = ["手機", "筆記本", "耳機", "鼠標"]

print("原始列表:", products)  # ['手機', '筆記本', '耳機', '鼠標']

# 索引訪問與切片
print("首個商品:", products[0])      # 手機
print("最后兩個商品:", products[-2:]) # ['耳機', '鼠標']

# 元素修改與擴展
products[1] = "游戲本"             # 修改元素
products.append("鍵盤")           # 追加元素
products.insert(2, "顯示器")      # 插入元素

print("修改后列表:", products)    # ['手機', '游戲本', '顯示器', '耳機', '鼠標', '鍵盤']

# 刪除操作
removed_item = products.pop(3)    # 刪除索引3的元素
print("被刪除商品:", removed_item) # 耳機
print("當前列表:", products)      # ['手機', '游戲本', '顯示器', '鼠標', '鍵盤']

# 創(chuàng)建數(shù)字列表
nums = [3, 1, 4, 1, 5, 9]

# 排序與反轉(zhuǎn)
nums.sort()                     # 升序排列 [1, 1, 3, 4, 5, 9]
nums.reverse()                  # 反轉(zhuǎn)列表 [9, 5, 4, 3, 1, 1]

# 列表推導式
squares = [x**2 for x in nums if x > 3]
print("大數(shù)平方:", squares)     # [81, 25, 16]

# 其他實用方法
print("出現(xiàn)次數(shù):", nums.count(1))  # 2
nums.clear()                    # 清空列表

# 定義-訪問-解包全流程
# 創(chuàng)建坐標元組
point = (10, 20)

# 索引訪問
print("X坐標:", point[0])    # 10
print("Y坐標:", point[1])    # 20

# 元組解包
x, y = point
print(f"坐標位置: ({x}, {y})")  # (10, 20)

# 類型轉(zhuǎn)換示例
list_point = list(point)      # 轉(zhuǎn)為列表可修改
list_point[0] += 5
new_point = tuple(list_point)
print("新坐標:", new_point)   # (15, 20)

# 函數(shù)返回多個值
def get_dimensions():
    return 1920, 1080

width, height = get_dimensions()
print(f"分辨率: {width}x{height}")

# 創(chuàng)建-更新-遍歷完整示例
# 初始化學生信息
student = {
    "name": "張三",
    "age": 18,
    "courses": ["數(shù)學", "英語"]
}

# 添加新信息
student["gender"] = "男"
student["age"] = 19          # 修改年齡

# 安全獲取值
score = student.get("score", 0)
print("默認分數(shù):", score)    # 0

# 刪除元素
removed = student.pop("courses")
print("已刪除課程:", removed) # ['數(shù)學', '英語']

# 遍歷字典
print("\n學生詳細信息:")
for key, value in student.items():
    print(f"{key}: {value}")

"""
輸出:
學生詳細信息:
name: 張三
age: 19
gender: 男
"""

# 字典合并與推導式
grades = {"數(shù)學": 90, "英語": 85}
extra_grades = {"編程": 95, "物理": 88}

# 合并字典
grades.update(extra_grades)

# 字典推導式
passed = {subject: score for subject, score in grades.items() if score >= 85}
print("及格科目:", passed)  # {'數(shù)學':90, '英語':85, '編程':95, '物理':88}

# 鍵值反轉(zhuǎn)
inverted_dict = {v: k for k, v in grades.items()}
print("分數(shù)對照:", inverted_dict)  # {90: '數(shù)學', 85: '英語', ...}

# 創(chuàng)建-運算-方法全流程
# 初始化集合
A = {1, 2, 3, 4}
B = {3, 4, 5, 6}

print("原始集合A:", A)  # {1,2,3,4}
print("原始集合B:", B)  # {3,4,5,6}

# 集合運算
print("并集:", A | B)   # {1,2,3,4,5,6}
print("差集:", A - B)   # {1,2}
print("對稱差集:", A ^ B) # {1,2,5,6}

# 元素操作
A.add(5)                # 添加元素
A.discard(2)            # 安全刪除
print("更新后A:", A)    # {1,3,4,5}

# 集合推導式
even_numbers = {x for x in range(10) if x%2 == 0}
print("偶數(shù)集合:", even_numbers)  # {0,2,4,6,8}

def data_cleaner(raw_data):
    # 列表存儲有效數(shù)據(jù)
    cleaned = []
    
    # 集合記錄已處理項
    seen = set()
    
    # 字典統(tǒng)計頻率
    counter = {}
    
    for item in raw_data:
        # 去重處理
        if item not in seen:
            cleaned.append(item)
            seen.add(item)
        
        # 統(tǒng)計頻率
        counter[item] = counter.get(item, 0) + 1
    
    # 元組保存元信息
    meta = (len(raw_data), len(cleaned))
    
    return {
        "cleaned_data": cleaned,
        "frequency": counter,
        "metadata": meta
    }

# 測試數(shù)據(jù)
test_data = ["A", "B", "A", "C", "B", "D"]
result = data_cleaner(test_data)
print(result)
"""
輸出:
{
    'cleaned_data': ['A', 'B', 'C', 'D'],
    'frequency': {'A':2, 'B':2, 'C':1, 'D':1},
    'metadata': (6, 4)
}
"""