怎么在python中利用递归建立二叉树-创新互联
这篇文章将为大家详细讲解有关怎么在python中利用递归建立二叉树，文章内容质量较高，因此小编分享给大家做个参考，希望大家阅读完这篇文章后对相关知识有一定的了解。
# coding = utf-8
class BinaryTree:
def __init__(self, root_obj):
self.key = root_obj
self.left_child = None
self.right_child = None
def insert_left(self, new_node):
node = BinaryTree(new_node)
if self.left_child is None:
self.left_child = node
else:
node.left_child = self.left_child
self.left_child = node
def insert_right(self, new_node):
node = BinaryTree(new_node)
if self.right_child is None:
self.right_child = node
else:
node.right_child = self.right_child
self.right_child = node
def get_right_child(self):
return self.right_child
def get_left_child(self):
return self.left_child
def set_root_val(self, obj):
self.key = obj
def get_root_val(self):
return self.key
root = BinaryTree('a')
print(root.get_root_val())
print(root.get_left_child())
root.insert_left('b')
print(root.get_left_child())
print(root.get_left_child().get_root_val())
root.insert_right('c')
print(root.get_right_child())
print(root.get_right_child().get_root_val())
root.get_right_child().set_root_val('hello')
print(root.get_right_child().get_root_val())C:\Users\Sahara\.virtualenvs\test\Scripts\python.exe C:/Users/Sahara/PycharmProjects/test/python_search.py a None <__main__.BinaryTree object at 0x00000000024139B0> b <__main__.BinaryTree object at 0x00000000024139E8> c hello Process finished with exit code 0
Python实现二叉树遍历的递归和非递归算法
前序遍历
# -----------前序遍历 ------------ # 递归算法 def pre_order_recursive(self, T): if T == None: return print(T.root, end=' ') self.pre_order_recursive(T.lchild) self.pre_order_recursive(T.rchild) # 非递归算法 def pre_order_non_recursive(self, T): """借助栈实现前驱遍历 """ if T == None: return stack = [] while T or len(stack) > 0: if T: stack.append(T) print(T.root, end=' ') T = T.lchild else: T = stack[-1] stack.pop() T = T.rchild
中序遍历
# -----------中序遍历 ------------ # 递归算法 def mid_order_recursive(self, T): if T == None: return self.mid_order_recursive(T.lchild) print(T.root, end=' ') self.mid_order_recursive(T.rchild) # 非递归算法 def mid_order_non_recursive(self, T): """借助栈实现中序遍历 """ if T == None: return stack = [] while T or len(stack) > 0: if T: stack.append(T) T = T.lchild else: T = stack.pop() print(T.root, end=' ') T = T.rchild
后序遍历
# -----------后序遍历 ------------ # 递归算法 def post_order_recursive(self, T): if T == None: return self.post_order_recursive(T.lchild) self.post_order_recursive(T.rchild) print(T.root, end=' ') # 非递归算法 def post_order_non_recursive(self, T): """借助两个栈实现后序遍历 """ if T == None: return stack1 = [] stack2 = [] stack1.append(T) while stack1: node = stack1.pop() if node.lchild: stack1.append(node.lchild) if node.rchild: stack1.append(node.rchild) stack2.append(node) while stack2: print(stack2.pop().root, end=' ') return
层次遍历
# -----------层次遍历 ------------ def level_order(self, T): """借助队列（其实还是一个栈）实现层次遍历 """ if T == None: return stack = [] stack.append(T) while stack: node = stack.pop(0) # 实现先进先出 print(node.root, end=' ') if node.lchild: stack.append(node.lchild) if node.rchild: stack.append(node.rchild)
完整代码
class NodeTree:
def __init__(self, root=None, lchild=None, rchild=None):
"""创建二叉树
Argument:
lchild: BinTree
左子树
rchild: BinTree
右子树
Return:
Tree
"""
self.root = root
self.lchild = lchild
self.rchild = rchild
class BinTree:
# -----------前序遍历 ------------
# 递归算法
def pre_order_recursive(self, T):
if T == None:
return
print(T.root, end=' ')
self.pre_order_recursive(T.lchild)
self.pre_order_recursive(T.rchild)
# 非递归算法
def pre_order_non_recursive(self, T):
"""借助栈实现前驱遍历
"""
if T == None:
return
stack = []
while T or len(stack) > 0:
if T:
stack.append(T)
print(T.root, end=' ')
T = T.lchild
else:
T = stack[-1]
stack.pop()
T = T.rchild
# -----------中序遍历 ------------
# 递归算法
def mid_order_recursive(self, T):
if T == None:
return
self.mid_order_recursive(T.lchild)
print(T.root, end=' ')
self.mid_order_recursive(T.rchild)
# 非递归算法
def mid_order_non_recursive(self, T):
"""借助栈实现中序遍历
"""
if T == None:
return
stack = []
while T or len(stack) > 0:
if T:
stack.append(T)
T = T.lchild
else:
T = stack.pop()
print(T.root, end=' ')
T = T.rchild
# -----------后序遍历 ------------
# 递归算法
def post_order_recursive(self, T):
if T == None:
return
self.post_order_recursive(T.lchild)
self.post_order_recursive(T.rchild)
print(T.root, end=' ')
# 非递归算法
def post_order_non_recursive(self, T):
"""借助两个栈实现后序遍历
"""
if T == None:
return
stack1 = []
stack2 = []
stack1.append(T)
while stack1:
node = stack1.pop()
if node.lchild:
stack1.append(node.lchild)
if node.rchild:
stack1.append(node.rchild)
stack2.append(node)
while stack2:
print(stack2.pop().root, end=' ')
return
# -----------层次遍历 ------------
def level_order(self, T):
"""借助队列（其实还是一个栈）实现层次遍历
"""
if T == None:
return
stack = []
stack.append(T)
while stack:
node = stack.pop(0) # 实现先进先出
print(node.root, end=' ')
if node.lchild:
stack.append(node.lchild)
if node.rchild:
stack.append(node.rchild)
# ----------- 前序遍历序列、中序遍历序列 —> 重构二叉树 ------------
def tree_by_pre_mid(self, pre, mid):
if len(pre) != len(mid) or len(pre) == 0 or len(mid) == 0:
return
T = NodeTree(pre[0])
index = mid.index(pre[0])
T.lchild = self.tree_by_pre_mid(pre[1:index + 1], mid[:index])
T.rchild = self.tree_by_pre_mid(pre[index + 1:], mid[index + 1:])
return T
# ----------- 后序遍历序列、中序遍历序列 —> 重构二叉树 ------------
def tree_by_post_mid(self, post, mid):
if len(post) != len(mid) or len(post) == 0 or len(mid) == 0:
return
T = NodeTree(post[-1])
index = mid.index(post[-1])
T.lchild = self.tree_by_post_mid(post[:index], mid[:index])
T.rchild = self.tree_by_post_mid(post[index:-1], mid[index + 1:])
return T
if __name__ == '__main__':
# ----------- 测试：前序、中序、后序、层次遍历 -----------
# 创建二叉树
nodeTree = NodeTree(1,
lchild=NodeTree(2,
lchild=NodeTree(4,
rchild=NodeTree(7))),
rchild=NodeTree(3,
lchild=NodeTree(5),
rchild=NodeTree(6)))
T = BinTree()
print('前序遍历递归\t')
T.pre_order_recursive(nodeTree) # 前序遍历-递归
print('\n')
print('前序遍历非递归\t')
T.pre_order_non_recursive(nodeTree) # 前序遍历-非递归
print('\n')
print('中序遍历递归\t')
T.mid_order_recursive(nodeTree) # 中序遍历-递归
print('\n')
print('中序遍历非递归\t')
T.mid_order_non_recursive(nodeTree) # 中序遍历-非递归
print('\n')
print('后序遍历递归\t')
T.post_order_recursive(nodeTree) # 后序遍历-递归
print('\n')
print('后序遍历非递归\t')
T.post_order_non_recursive(nodeTree) # 后序遍历-非递归
print('\n')
print('层次遍历\t')
T.level_order(nodeTree) # 层次遍历
print('\n')
print('==========================================================================')
# ----------- 测试：由遍历序列构造二叉树 -----------
T = BinTree()
pre = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I']
mid = ['B', 'C', 'A', 'E', 'D', 'G', 'H', 'F', 'I']
post = ['C', 'B', 'E', 'H', 'G', 'I', 'F', 'D', 'A']
newT_pre_mid = T.tree_by_pre_mid(pre, mid) # 由前序序列、中序序列构造二叉树
T.post_order_recursive(newT_pre_mid) # 获取后序序列
print('\n')
newT_post_mid = T.tree_by_post_mid(post, mid) # 由后序序列、中序序列构造二叉树
T.pre_order_recursive(newT_post_mid) # 获取前序序列运行结果
前序遍历递归
1 2 4 7 3 5 6前序遍历非递归
1 2 4 7 3 5 6中序遍历递归
4 7 2 1 5 3 6中序遍历非递归
4 7 2 1 5 3 6后序遍历递归
7 4 2 5 6 3 1后序遍历非递归
7 4 2 5 6 3 1层次遍历
1 2 3 4 5 6 7==========================================================================
C B E H G I F D AA B C D E F G H I
关于怎么在python中利用递归建立二叉树就分享到这里了，希望以上内容可以对大家有一定的帮助，可以学到更多知识。如果觉得文章不错，可以把它分享出去让更多的人看到。
另外有需要云服务器可以了解下创新互联scvps.cn，海内外云服务器15元起步，三天无理由+7*72小时售后在线，公司持有idc许可证，提供“云服务器、裸金属服务器、高防服务器、香港服务器、美国服务器、虚拟主机、免备案服务器”等云主机租用服务以及企业上云的综合解决方案，具有“安全稳定、简单易用、服务可用性高、性价比高”等特点与优势，专为企业上云打造定制，能够满足用户丰富、多元化的应用场景需求。
网页题目：怎么在python中利用递归建立二叉树-创新互联
当前链接：http://6mz.cn/article/dipdsd.html