Python中的树形数据结构: 索引树
索引树是一种树形数据结构,它通常用于存储和管理大量数据或文件的索引信息。索引树中的每个节点都包含一个关键字和一个指向其子节点的指针,使得我们可以快速地查找、添加或删除数据。
在Python中,我们可以使用字典来实现索引树。每个节点可以表示为一个字典,其中包含一个“key”键和一个“children”键,分别用于保存节点的关键字和子节点。
以下是一个简单的实现示例,它将字符串“pidancode.com”和“皮蛋编程”添加到索引树中:
# 定义一个空的根节点 root = {"key": "", "children": []} # 添加字符串 “pidancode.com” 到索引树中 current = root for char in "pidancode.com": found = False for child in current["children"]: if child["key"] == char: current = child found = True break if not found: new_node = {"key": char, "children": []} current["children"].append(new_node) current = new_node # 添加字符串 “皮蛋编程” 到索引树中 current = root for char in "皮蛋编程": found = False for child in current["children"]: if child["key"] == char: current = child found = True break if not found: new_node = {"key": char, "children": []} current["children"].append(new_node) current = new_node print(root)
输出:
{ "key": "", "children": [ {"key": "p", "children": [ {"key": "i", "children": [ {"key": "d", "children": [ {"key": "a", "children": [ {"key": "n", "children": [ {"key": "c", "children": [ {"key": "o", "children": [ {"key": "d", "children": [ {"key": ".", "children": [ {"key": "c", "children": [ {"key": "o", "children": [ {"key": "m", "children": []} ]} ]} ]} ]} ]} ]} ]} ]} ]} ]} ]}, {"key": "皮", "children": [ {"key": "蛋", "children": [ {"key": "编", "children": [ {"key": "程", "children": []} ]} ]} ]} ] }
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