深度优先
# 使用递归方法实现深度优先
def depth_tree(tree_node):
if tree_node is not None :
print(tree_node._data)
if tree_node._left is not None:
return depth_tree(tree_node._left)
if tree_node._right is not None:
return depth_tree(tree_node._right)
广度优先
# 利用队列实现树的广度优先遍历
def level_queue(root):
if root is None:
return
my_queue = []
node = root
my_queue.append(node)
while my_queue:
node = my_queue.pop(0)
print(node.elem)
if node.lchild is not None:
my_queue.append(node.lchild)
if node.rchild is not None:
my_queue.append(node.rchild)