Deep Apply

Deep traverse through an object and apply a function on its values.

Supports the following object types:

Dictionaries
Lists
Sets
Tuples
Pydantic models

Install

pip install deep-apply

Usage

Apply upper() on values

import deep_apply


# 1. Create your callback function.
def to_upper(value, **kwargs):
    """
    To uppercase.
    """

    # Other arguments passed to the callback function:
    # key: str = kwargs["key"]
    # depth_level: int = kwargs["depth_level"]
    # depth_key: str = kwargs["depth_key"]

    # Apply upper() and return the value
    if isinstance(value, str):
        return value.upper()
    
    # Always return the unedited value
    return value


# 2. Your data.
data = [
    {
        "id": "pZnZMffPCpJx",
        "name": "John Doe",
        "hobbies": {
            "sport": ["football", "tennis"],
            "music": ["singing", "guitar", "piano"],
        },
    }
]

# 3. Run apply().
data = deep_apply.apply(data=data, func=to_upper)

[
    {
        'id': 'PZNZMFFPCPJX',
        'name': 'JOHN DOE',
        'hobbies': {
            'sport': ['FOOTBALL', 'TENNIS'],
            'music': ['SINGING', 'GUITAR', 'PIANO']
        }
    }
]

Metadata

Release files for deep-apply 1.0.7

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Source distribution (sdist)

Source distribution for deep-apply 1.0.7
File	Size	Uploaded
deep_apply-1.0.7.tar.gz	7.7 kB	Aug 28, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for deep-apply 1.0.7
File	Interpreter	ABI	Platform	Reset
deep_apply-1.0.7-py3-none-any.whl 13.1 kB Aug 28, 2026	Python 3	none	any	Details

Total release size: 20.8 kB

Release files / deep_apply-1.0.7.tar.gz

Download URL	deep_apply-1.0.7.tar.gz
Size	7.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`28b8a59909cc31eb60895dc7b66d27061b29f8d3b8c40ad5d5446796818e10c0`
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Uploaded via	`twine/7.0.0 CPython/3.14.7`

Release files / deep_apply-1.0.7-py3-none-any.whl

Download URL	deep_apply-1.0.7-py3-none-any.whl
Size	13.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`76b0f1acdac62f8c789047810eccd328befac8966690cc72782b1d94ebc5128e`
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Upload date	Aug 28, 2026
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Uploaded via	`twine/7.0.0 CPython/3.14.7`