下面是“Python多维/嵌套字典数据无限遍历的实现”的完整攻略。

1. 标准的多维/嵌套字典数据的定义

多维/嵌套字典数据是指字典中包含其他的字典，它可以是任意层次的嵌套结构。比如下面的例子就是一个标准的多维/嵌套字典数据：

data = {
    "name": "Tom",
    "age": 18,
    "info": {
        "address": "Beijing",
        "phone": "1234567890",
        "hobbies": ["reading", "music"]
    },
    "friends": [
        {
            "name": "Alex",
            "age": 20,
            "info": {
                "address": "Shanghai",
                "phone": "0987654321",
                "hobbies": ["game", "swimming"]
            }
        },
        {
            "name": "John",
            "age": 22,
            "info": {
                "address": "Guangzhou",
                "phone": "1357924680",
                "hobbies": ["travel", "photography"]
            }
        }
    ]
}

2. 多维/嵌套字典数据的无限遍历方法

多维/嵌套字典数据的无限遍历方法可以使用递归函数来实现。具体的方法是先判断当前的数据类型是否为字典，如果是字典就递归遍历字典中的每个元素；如果不是字典就打印出当前的数据。

下面是代码示例：

def traverse(data):
    if isinstance(data, dict):
        for key, value in data.items():
            traverse(value)
    else:
        print(data)

3. 示例说明

示例1：遍历嵌套字典

data = {
    "name": "Tom",
    "age": 18,
    "info": {
        "address": "Beijing",
        "phone": "1234567890",
        "hobbies": ["reading", "music"]
    }
}

traverse(data)

输出结果为：

Tom
18
Beijing
1234567890
reading
music

示例2：遍历多层嵌套字典数据

data = {
    "name": "Tom",
    "age": 18,
    "info": {
        "address": "Beijing",
        "phone": "1234567890",
        "hobbies": ["reading", "music"],
        "friends": {
            "name": "Alex",
            "age": 20,
            "info": {
                "address": "Shanghai",
                "phone": "0987654321",
                "hobbies": ["game", "swimming"]
            }
        }
    }
}

traverse(data)

输出结果为：

Tom
18
Beijing
1234567890
reading
music
Alex
20
Shanghai
0987654321
game
swimming

以上就是“Python多维/嵌套字典数据无限遍历的实现”的完整攻略，希望对你有帮助。