在python中找到树中所有可能的路径 [英] find all possible paths in a tree in python
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问题描述
我正在尝试创建一个包含树中所有可能路径的列表.我给出了以下结构(来自 DB 的子集):
I am trying to create a list with all possible paths in a tree. I have following structure given (subset from DB):
text = """
1,Product1,INVOICE_FEE,
3,Product3,INVOICE_FEE,
7,Product7,DEFAULT,
2,Product2,DEFAULT,7
4,Product4,DEFAULT,7
5,Product5,DEFAULT,2
"""
其中的列是:ID、产品名称、发票类型、对父 ID 的引用.我想创建包含所有可能路径的列表,如示例中所示:
where the columns are: ID, product-name, invoice-type, reference-to-parent-ID. I would like to create list with all possible paths, like in the example:
[[Product1],[Product3],[Product7,Product2,Product5],[Product7,Product4]]
我执行以下操作:
lines = [ l.strip() for l in text.strip().splitlines() ]
hierarchy = [ tuple(l.split(',')) for l in lines ]
parents = defaultdict(list)
for p in hierarchy:
parents[p[3]].append(p)
为了创建树,然后我想找到所有路径:
for creation the tree and then I would like to find all paths:
def pathsMet(parents, node=''):
childNodes = parents.get(node)
if not childNodes:
return []
paths = []
for ID, productName, invoiceType, parentID in childNodes:
paths.append([productName] + pathsMet(parents, ID))
return paths
print(pathsMet(parents))
我得到的结果如下:
[['FeeCashFlow1'], ['FeeCashFlow3'], ['PrincipalCashFlow7', ['AmortisationCashFlow3', ['AmortisationCashFlow2']], ['AmortisationCashFlow4']]]
如何更正代码以获得以下输出:
How to correct the code to have following output:
[['FeeCashFlow1'], ['FeeCashFlow3'], ['PrincipalCashFlow7', 'AmortisationCashFlow3', 'AmortisationCashFlow2'], ['PrincipalCashFlow7','AmortisationCashFlow4']]
推荐答案
您的代码似乎是正确的,只是您将整个列表附加到 paths
变量,而不是列表元素.
Your code seems correct except that you are appending entire list to the paths
variable, instead of list elements.
试试这个修改:
def pathsMet(parents, node=''):
childNodes = parents.get(node)
if not childNodes:
return [[]]
paths = []
for ID, productName, invoiceType, parentID in childNodes:
for p in pathsMet(parents, ID):
paths.append([productName] + p)
return paths
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