Anytree Python
Python's anytree module is frequently used within data science-related software. Anytree has a Tolerant License, a Construct File that is public, no errors, no risks, and excellent support. One may get it from GitHub or PyPI, or one can install it with "pip install anytree."
Support
- Anytree's environment is quite dynamic.
- This has 87 forks and 550 stars (s). Twenty-seven people are keeping an eye on the library.
- It hasn't had a significant release in the past 12 months.
- Of the 100 open problems, 34 are still unresolved. In 136 days, on average, concerns are resolved. There are six open pull requests and none that have been closed.
- There is support for it among the development community.
- Anytree's most recent release is 2.8.0.
Quality
- Anytree has really no errors and no bad code.
Security
- Anytree, as well as its dependant libraries, no one has any bugs that have been disclosed.
- Anytree program examination reveals no open security issues.
- No safety hotspots need to be reviewed.
License
- The Apache-2.0 License is the one that governs anytree. Openness applies to this licence.
- Cooperative and supportive licences offer the fewest limitations and are applicable to the majority of projects.
Reuse
- It is possible to download and incorporate anytree releases.
- PyPI offers a transportable package.
- There is a setup file. The module may be built from scratch.
- By using anytree, you may save investing 1346 person-hours in creating the same feature from the beginning.
- This has 53 files, 292 functions, and 3017 lines of code.
- The coding difficulty is average. Code reliability is directly impacted by code difficulty.
Top Functions reviewed by Kandi – BETA
According to Kandi's evaluation of anytree, the following are its key features. This is meant to provide you with a quick glimpse of any feature that Tree executed and to assist you in determining whether or not it meets your needs.
Children of node
- Verify the child of children
- Post-attach youngsters
- Children who are pre-attached
Parent node
- Join this node with its parent
- Post a hook there.
- Pre-attaching a hook
Convert a nested list into rows using python
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):
yield i
else:
yield from flatten(i, False)
def form_t(d):
for i in d:
if not isinstance(i, tuple):
yield i
else:
yield from form_t(i)
all_lists = [['a', 'b', ['c', 'd']], ['a', 'b', ['c', ['d', ['e', 'f']]]], ['a', ['b', 'c'], ['d', 'e']]]
for i in all_lists:
print([tuple(form_t(j)) for j in flatten(i)])
Output:
[('a', 'b', 'c'), ('a', 'b', 'd')]
[('a', 'b', 'c'), ('a', 'b', 'd', 'e'), ('a', 'b', 'd', 'f')]
[('a', 'b', 'd'), ('a', 'b', 'e'), ('a', 'c', 'd'), ('a', 'c', 'e')]
Convert list into dataframe python by converting list elements into rows and columns
import numpy as np
myList = ([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,18,20,21,22,23,24,25])
myList = np.asarray(myList).reshape(5,5)
print(myList)
output:
array([[ 1, 2, 3, 4, 5],
[ 6, 7, 8, 9, 10],
[11, 12, 13, 14, 15],
[16, 17, 18, 18, 20],
[21, 22, 23, 24, 25]])
How to convert a nested list of a dictionary in python?
input_list = [['a', [1, 2, 3]], ['b', [2, 4, 5]], ['c', [3, 7, 8]]]
newList = []
for key, values in input_list:
for idx, value in enumerate(values):
if len(newList) -1 <idx:
newList.append({key: value})
else:
newList[idx].update({key:value})
for i in newList:
print(i)
{'a': 1, 'b': 2, 'c': 3}
{'a': 2, 'b': 4, 'c': 7}
{'a': 3, 'b': 5, 'c': 8}
input_list = [['a', [9, 7, 3, 2]], ['b', [4, 7, 8, 8, 2, 5]], ['c', [1, 2, 2]], ['d', [4, 4, 2, 1]], ['e', [6, 2]]]
output:
{'a': 9, 'b': 4, 'c': 1, 'd': 4, 'e': 6}
{'a': 7, 'b': 7, 'c': 2, 'd': 4, 'e': 2}
{'a': 3, 'b': 8, 'c': 2, 'd': 2}
{'a': 2, 'b': 8, 'd': 1}
{'b': 2}
{'b': 5}