Fast data traversal & manipulation tools.
Project description
traversy
Fast data traversal & manipulation tools for Python.
traverse(data)
:
Traverse deep data structures such as dict, mo-dots, and
dotty_dict. Supports nested lists & data.
from traversy import traverse
import json
jo = json.loads("""{
"2019": {
"uat": {
"pkey": true,
"user": "testval",
"testkey": true,
"mylist": [
{
"foo": "bar",
"foo2": "bar2"
},
{
"baz": "milk",
"bar": "foo"
}
]
},
"dev": {
"pkey": true,
"testval": "testval",
"testval2": true
},
"test1": [1, 2, "testval"],
"test2": [{"one": "foo", "two": "bar", "three": "testval"}]
}
}""")
def is_eq(key, val, opath, query): # Use of a filter func is optional.
return val == query
for node in traverse(jo, is_eq, query="milk"):
print("Found", node.key, ':', node.value) # baz : milk
print("Full path access:", jo[node.path_str]) # "2019.uat.mylist.1.baz"
For each iteration, traverse() returns a dict or data object of...
{'key', 'value', 'node_path', 'path_str', 'filter_func',
'filter_args': (data, kwargs), 'parent_node', 'output_formatter'}
For more information on these non-built-in data structure (Which are optional to use), check out mo-dots and dotty_dict.
License: MIT
Changelog
-
11/15/2020 - 0.1.3 : Refactored & added more utility methods.
-
11/13/2020 - 0.1.2 : Doc correction.
-
11/13/2020 - 0.1.1 : Deprecated
set_output_format()
and made package compatible with both Python 2 and Python 3.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
traversy-0.1.3.tar.gz
(4.2 kB
view hashes)
Built Distributions
Close
Hashes for traversy-0.1.3-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3cd68ab275177b9c611b34ba0feeea024c120e563e5dee9f1f940d3f39b946ce |
|
MD5 | c73d9f42e555dac07c6e89b3e6315063 |
|
BLAKE2b-256 | 4d506871e6404e9fef3422e8632dce7d4899979be3ce1b98b57d348315eb46e4 |