我有一个像这样的python二叉树类:
class BinaryTree:
def __init__(self, data, left=None, right=None):
self.data = data
self.left = left
self.right = right
def __unicode__(self):
return '%s' % self.data
我有这样的树遍历功能:
def tree_traversal(tree):
if tree:
for node_data in tree_traversal(tree.left):
yield node_data
for node_data in tree_traversal(tree.right):
yield node_data
现在我陷入了生成像下面嵌套结构这样的数据格式:
{'id':1,children:[{'id':2, children:[{'id':3, 'id':4}]}]}
树结构是:
1
|
2
(left)3 (right)4
答案 0 :(得分:4)
您需要做的是使您的类可序列化为字典和字符串的数据结构。我没有找到任何一般的方法,所以我通常做的是使BinaryTree实现某种或“flattening”和“解析”功能。这样做的一个好方法是:
import json
class BinaryTree:
def __init__(self, data, left=None, right=None):
self.data = data
self.left = left
self.right = right
def flatten(self):
return {
"data" : self.data,
"left" : self.left.flatten() if self.left else None,
"right" : self.right.flatten() if self.right else None,
}
@classmethod
def from_dictionary(cls, d):
obj = cls(d["data"])
if d.has_key("left") and d["left"] is not None:
obj.left = cls.from_dictionary(d["left"])
if d.has_key("right") and d["right"] is not None:
obj.right = cls.from_dictionary(d["right"])
return obj
if __name__ == "__main__":
binary_tree = BinaryTree.from_dictionary({"data": "hello", "left": {"data" : "yo"}})
json_data = json.dumps(binary_tree.flatten())
print "JSON: %s" % json_data
binary_tree_from_json = BinaryTree.from_dictionary(json.loads(json_data))
print binary_tree_from_json.data
print binary_tree_from_json.left.data
答案 1 :(得分:2)
- 已编辑 -
您希望在每个节点中保留多少值?如果它只是一个int,如你的例子所示,它应该很容易:
节点具有id,一个或多个子节点以及值: { “1”:{“children”:[“2”],“value”:1111}, “2”:{“children”:[“3”,“4”],“value”:2222}, “3”:{“children”:null,“value”:3333}, “4”:{“children”:null,“value”:4444} }
答案 2 :(得分:0)
如果您熟悉堆栈,可以在下面看到代码。
"""
@param root: The root of binary tree.
@return: Preorder in list which contains node values.
"""
def preorderTraversal(self, root):
if root is None:
return []
stack = [root]
preorder = []
while stack:
node = stack.pop()
preorder.append(node.val)
if node.right:
stack.append(node.right)
if node.left:
stack.append(node.left)
return preorder