从文件中读取数据并在 python 中使用 anytree 创建一棵树

问题描述

有没有办法从文件中读取数据并使用 anytree 构造一棵树?

父子A1A2A2 A21

我可以使用静态值进行如下操作.但是，我想通过使用 anytree 从文件中读取数据来自动执行此操作.

>>>从 anytree 导入节点，RenderTree>>>A = 节点(A")>>>A1 = 节点(A1"，父 = A)>>>A2 = 节点(A2"，父 = A)>>>A21 = 节点(A21"，父 = A2)

输出是

A├── A1└── A2└── A21

解决方案

这假设条目的顺序是这样的:父节点总是事先作为另一个节点的子节点引入(根除外).

考虑到这一点，我们可以遍历这些行，拆分它们(我使用了 split，正则表达式也可以)并创建新节点.

关于如何通过名称获取对父级的引用，我想出了两个解决方案:

首先，使用anytreesfind_by_attr

按名称查找父节点

from anytree import Node, RenderTree, find_by_attrwith open('input.txt', 'r') as f:行 = f.readlines()[1:]root = Node(lines[0].split(" ")[0])对于线中线:line = line.split(" ")Node("".join(line[1:]).strip(), parent=find_by_attr(root, line[0]))对于 RenderTree(root) 中的 pre, _, 节点:print("%s%s" % (pre, node.name))

第二，在我们创建它们时将它们缓存在字典中:

from anytree import Node, RenderTree, find_by_attrwith open('input.txt', 'r') as f:行 = f.readlines()[1:]root = Node(lines[0].split(" ")[0])节点 = {}节点[root.name] = 根对于线中线:line = line.split(" ")name = "".join(line[1:]).strip()节点[名称] = 节点(名称，父节点=节点[行[0]])对于 RenderTree(root) 中的 pre, _, 节点:print("%s%s" % (pre, node.name))

input.txt

父子A1A2A2 A21

输出:

A├── A1└── A2└── A21

Is there a way to read data from a file and construct a tree using anytree?

Parent Child
A      A1
A      A2
A2     A21

I can do it with static values as follows. However, I want to automate this by reading the data from a file with anytree.

>>> from anytree import Node, RenderTree
>>> A = Node("A")
>>> A1 = Node("A1", parent=A)
>>> A2 = Node("A2", parent=A)
>>> A21 = Node("A21", parent=A2)

Output is

A
├── A1
└── A2
    └── A21

解决方案

This assumes that the entries are in such an order that a parent node was always introduced as a child of another node beforehand (root excluded).

With that in mind, we can then iterate over the lines, split them (I used split, regex would work too) and create the new nodes.

For how to get a reference to the parent by name, I came up with two solutions:

First, find the parent by name using anytrees find_by_attr

from anytree import Node, RenderTree, find_by_attr

with open('input.txt', 'r') as f:
    lines = f.readlines()[1:]
    root = Node(lines[0].split(" ")[0])

    for line in lines:
        line = line.split(" ")
        Node("".join(line[1:]).strip(), parent=find_by_attr(root, line[0]))

    for pre, _, node in RenderTree(root):
        print("%s%s" % (pre, node.name))

---

Second, just cache them in a dict while we create them:

from anytree import Node, RenderTree, find_by_attr

with open('input.txt', 'r') as f:
    lines = f.readlines()[1:]
    root = Node(lines[0].split(" ")[0])
    nodes = {}
    nodes[root.name] = root

    for line in lines:
        line = line.split(" ")
        name = "".join(line[1:]).strip()
        nodes[name] = Node(name, parent=nodes[line[0]])

    for pre, _, node in RenderTree(root):
        print("%s%s" % (pre, node.name))

---

input.txt

Parent Child
A      A1
A      A2
A2     A21

---

Output:

A
├── A1
└── A2
    └── A21

这篇关于从文件中读取数据并在 python 中使用 anytree 创建一棵树的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！