plucky.pluckable happily wraps any Python object and allows for chained soft plucking with attribute- and item- getters (e.g. .attr, ["key"], [idx], [::2], or a combination: ["key1", "key2"], and [0, 3:7, ::-1]; even: ["length", 0:5, 7]).
plucky.pluck will allow you to pluck same as with pluckable (regarding the plucking operations), but accepting a string selector instead of a Python expression.
plucky.plucks enables you to safely extract several-levels deep values by using a concise string selector comprised of dictionary-like keys and list-like indices/slices. Stands for pluck simplified, since it supports only a subset of pluck syntax. It’s simpler and a more efficient.
plucky.merge facilitates recursive merging of two data structures, reducing leaf values with the provided binary operator.
Installation
plucky is available as a zero-dependency Python package. Install with:
$ pip install plucky
Usage
from plucky import pluck, plucks, pluckable, merge
pluckable(obj).users[2:5, 10:15].name["first", "middle"].value
pluck(obj, 'users[2:5, 10:15].name["first", "middle"]')
plucks(obj, 'users.2:5.name.first')
merge({"x": 1, "y": 0}, {"x": 2})
Examples
obj = {
'users': [{
'uid': 1234,
'name': {
'first': 'John',
'last': 'Smith',
}
}, {
'uid': 2345,
'name': {
'last': 'Bono'
}
}, {
'uid': 3456
}]
}
plucks(obj, 'users.1.name')
# -> {'last': 'Bono'}
plucks(obj, 'users.name.last')
# -> ['Smith', 'Bono']
plucks(obj, 'users.*.name.first')
# -> ['John']
pluckable(obj).users.name.first.value
# -> ['John']
pluckable(obj).users.uid[0, 2, 1].value
# -> [1234, 3456, 2345]
pluckable([datetime.datetime.now(), None, {'month': 8}])[::2].month
# -> [5, 8]
pluckable(obj, skipmissing=False, default='Unnamed').users.name.first.value
# -> ['John', 'Unnamed', 'Unnamed']
More Examples! :)
pluckable(obj).users[:, ::-1].name.last.value
# -> ['Smith', 'Bono', 'Bono', 'Smith']
pluckable(obj).users[:, ::-1].name.last[0, -1].value
# -> ['Smith', 'Smith']
pluck(obj, 'users[:, ::-1].name.last[0, -1]')
# -> ['Smith', 'Smith']
plucks([1, {'val': 2}, 3], 'val')
# -> [2]
plucks([1, {'val': [1,2,3]}, 3], '1.val.-1')
# -> 3
merge({"x": 1, "y": 0}, {"x": 2})
# -> {"x": 3, "y": 0}
merge({"a": [1, 2], "b": [1, 2]}, {"a": [3, 4], "b": [3]})
# -> {"a": [4, 6], "b": [1, 2, 3]}
Metadata
Release files for plucky 0.4.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| plucky-0.4.3.tar.gz | 8.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| plucky-0.4.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 19.0 kB
Release files / plucky-0.4.3.tar.gz
| Download URL | plucky-0.4.3.tar.gz |
|---|---|
| Size | 8.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5bc75d43ae6b40f1b7ba42000b37e4934fa6bd2d6a6cd4e47461f803a404c194
|
|
BLAKE2b-256 checksum How to use checksums |
4f4ea2d3157ec7031ea3ccc313400db27b92a65a9c002396a709e7457626f7ad
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.5
|
Release files / plucky-0.4.3-py2.py3-none-any.whl
| Download URL | plucky-0.4.3-py2.py3-none-any.whl |
|---|---|
| Size | 10.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
a358878f3e45b5e51d0b4e5b5c89d704422a72c2cf8ee9aaf9acedfa53f89105
|
|
BLAKE2b-256 checksum How to use checksums |
d8707b43e7280284bafecb345f4edb3eea7042cf0d089c5d112920eda650fda5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.5
|
Security for plucky 0.4.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.