anytree | Python tree data library
kandi X-RAY | anytree Summary
kandi X-RAY | anytree Summary
Python tree data library
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Top functions reviewed by kandi - BETA
- The children of this node
- Check children of children
- Post - attach children
- Pre - attach children
- Parent node
- Attach this node to the parent
- Post - attach hook
- Pre - attach hook
- Returns the depth of the path
- Iterate through children
- Return True if the given level is at the given level
- Get children from children
- Import data from the given data
- Import data
- Return an iterator for post order
- Yields the next child of the children
- Returns a tuple of the path
anytree Key Features
anytree Examples and Code Snippets
Lines of Code : 41License : Strong Copyleft (CC BY-SA 4.0)
Copyfrom anytree import Node, RenderTree, AsciiStyle, PreOrderIter
from tkinter import *
from tkinter import ttk
udo = Node("Udo")
marc = Node("Marc", parent=udo)
lian = Node("Lian", parent=marc)
dan = Node("Dan", parent=udo)
jet = Node("Jetif io!='q':
name, role, grp = io.upper(). split(',')
lst_input.append([name,role, grp])
lst.append(lst_input[0][i:i + 3])
def set_color_shape(node):
attrs = []
attrs += [f'color={node.color}'] if hasattr(node, 'color') else []
attrs += [f'shape={node.shape}'] if hasattr(node, 'shape') else []
return ', '.join(attrs)
DotExporter(ceo, nodeattrfimport itertools
import anytree
data = [
['100km/h', '20m', '10uSv'],
['100km/h', '40m', '10uSv'],
['100km/h', '60m', '20uSv'],
['120km/h', '40m', '20uSv'],
['120km/h', '40m', '30uSv'],
['120km/h', '60m', '20uSv']s0.__dict__.items()
[(k, v) for k, v in s0.__dict__.items() if k not in ('name', 'parent', 'children')]
from anytree import Node
from anytree import find
root = Node("f")
b = Node("b", parent=root)
d = Node("d", parent=b)
c = Node("c", parent=d)
name='c'
result = find(root, lambda node: node.name == name)
print('result Node:', result)
iffor level in levels:
for node in level:
gate = node.name
if node.is_leaf:
# set `garblers_label` and `evaluators_label` from
# the next two elements of the `labels` argument
else:
p[0] = Node(p[2],children = [Node(p[1]),Node(p[3])])
p[0] = Node(p[1], children = [Node(p[2])])
p[0] = Node("GROUP", children = [Node(p[2])])
#binary operators
def treestring = '''
ROOT
Node1
Node2
Node3
Node4
Node5
Node6'''.strip()
leaves = treestring.splitlines()
# initialize stack with the root node
stack = {0: Node(leaves.pop(0))}
for leaf in leaves:
import itertools as it
def flatten(d, s = False):
if not s:
l = [[i] if not isinstance(i, list) else flatten(i, True) for i in d]
yield from it.product(*l)
else:
for i in d:
if not isinstance(i, list):
Community Discussions
Trending Discussions on anytree
QUESTION
Is their a way to illustrate some tree like:
...ANSWER
Answered 2022-Mar-25 at 17:38Found some way, but dont't know if their is some better method to solve the problem.
Code:
QUESTION
Community. I need to accept multiple comma-separated inputs to produce a summary of information ( specifically, how many different employees participated in each group/project)? The program takes employees, managers and groups in the form of strings.
I'm using anytree python library to be able to search/count the occurrence of each employee per group. However, this program is only accepting one value/cell at a time instead of multiple values.
Here is the tree structure and how I accept input values?
...ANSWER
Answered 2022-Feb-13 at 12:47I believe one way to go about it is:
QUESTION
I am looking for a simple way to construct and draw a tree (on google colab).
Importantly, I would like to have nodes of different colors and shapes. Ideally, I would like something as follows.
...ANSWER
Answered 2022-Feb-14 at 22:59Anytree's DotExporter has a nodeattrfunc argument, where you can pass a function that accepts a Node and returns the attributes it should be given in a DOT language string. Thus, if you have stored your color and shape information as node attributes, you can use a custom nodeattrfunc like the following to translate those into DOT attributes:
QUESTION
I am trying to build a tree from a list of objects, which are characterised by several properties.
Each object can have 3 properties that play a role in building a tree, that is velocity altitude exposure.
ANSWER
Answered 2022-Jan-24 at 22:58You dont provide original data, so I tried to guess them.
I started with constructing nested dicts and then converting them to anytree format with recursive function.
Here is the code:
QUESTION
For an anytree Node, how can I get all the attributes and their values?
For example, if I do:
...ANSWER
Answered 2022-Jan-03 at 13:01This is working in your case:
QUESTION
I have created a tree using anytree for my custom taxonomy and I am able to search the tree using:
...ANSWER
Answered 2021-Nov-23 at 00:30Three things to note:
- you can cast
anytree.Nodeto astring - the first 6 characters of the stringified Node class is always
Node('and the last 2 characters are always') - the
anytree.Nodeclass has aseparatorattribute which you can use to split the stringifiedNodeon
Combining these facts:
QUESTION
I am trying to adapt this code here: https://github.com/nachonavarro/gabes/blob/master/gabes/circuit.py (line 136)
but am coming across an issue because several times the attribute .chosen_label is used but I can find no mention of it anywhere in the code. The objects left_gate, right_gate and gate are Gate objects (https://github.com/nachonavarro/gabes/blob/master/gabes/gate.py)
ANSWER
Answered 2021-Aug-18 at 16:13The attribute is set in the same method:
QUESTION
I am trying to build a CAS in Python and am currently stuck on implementing the parser I will use to go from expression string to an Anytree tree I can eventually manipulate and simplify. The issue seems to be that, when parsing, yacc doesn't implement my GROUP node with it's proper children nodes as defined in my parser grammar spec. I've tried messing with precedences and associativities, switching up the order of the grammar rules but nothing seems to make it parent the nodes properly. What's even stranger is that in debug/verbose mode, it makes a node for the expression when it pattern-matches to it, but it (for some reason) fails to parent it to the GROUP node when it recognises an LPAREN expression RPAREN token
Here's my code:
...ANSWER
Answered 2021-Aug-05 at 01:04The first argument to Node is expected to be a string. (In fact, it's expected to be a string which labels the node, but I'll get back to that in a minute.) If it's not a string, it's converted to one.
So consider your action:
QUESTION
I'm using anytree to generate a tree from a file, Tree.txt. Each indent is 3 spaces ( ). Here's what my file looks like:
ANSWER
Answered 2021-Jul-10 at 21:25You'll need a kind of stack to keep track of the depth of the nodes, then you can use the number of initial spaces to determine which parent node to append each leaf to. E.g., three spaces means one level down, so you need to append to the root node at index 0 in the stack. (You could also say that by using a stack we are taking the absolute depth of the leaves, while you tried to solve it relatively if I'm making any sense). I suspect if you use find_by_attr, that might not work in case there are leaves with the same name.
QUESTION
I am experiencing a scenario where my indigenous recursive implementation program output's a nested list, very similar to a tree. The nested list designed is an abstraction of a complicated structure. What I would require, is to resolve the nested list into many different rows as much as combinations available (optionally implementing recursion).
Previously I tried anytree but my needs are complicated and though good, it was not yielding to my tailored demand. Please do take into account that the nested list is multi-dimensional
input 1
...ANSWER
Answered 2021-May-02 at 04:03You can use recursion with itertools.product:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install anytree
You can use anytree like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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