Metadata-Version: 2.1
Name: json-flattening
Version: 1.0.2
Summary: Package to Flatten JSON data to relational Dataframe
Home-page: https://github.com/rahulgoel11/json_flattening
Author: Rahul Goel
License: MIT
Description: ## Json-flattening
        
        Flatten Json to Relational Dataframe
        
        ### Instructions
        
        1. **Install**
        
        ```
        pip install json-flattening
        ```
        
        2. **Parameters**
        ```
        json_data: Input data to be flattend, should be dict or list of dict
        list_split_to_many: If the final node list data should be splitted to one to many relation(i.e to multiple rows)
        ignore_parent_key: Parent Keys to be ignored should be string or list
        ```
        
        
        3. **Flatten json**
        
        ``` Python
        from json_flattening import json_flatten
        
        data = [{
            "firstName": "Rack",
            "lastName": "Jackon",
            "gender": "man",
            "age": 24,
            "address": {
                "streetAddress": "126",
                "city": "San Jone",
                "state": "CA",
                "postalCode": "394221"
            },
            "phoneNumbers": [
                { "type": "home", "number": "7383627627" }
            ]
        }
        {
            "firstName": "rock",
            "lastName": "Jackon",
            "gender": "man",
            "age": 24,
            "address": {
                "streetAddress": "126",
                "city": "San Jone",
                "postalCode": "394221"
            },
            "phoneNumbers": [
                { "type": "home", "number": "7383627627" }
            ]
        }]
        
        flatten_data = json_flatten(data)
        
        ```
        
        | firstName | lastName | gender | age | address_state | address_streetAddress | address_postalCode | address_city | phoneNumbers_type | phoneNumbers_number |
        | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- |  
        |Rack|Jackon|man|24|CA|126|394221|San Jone|home|7383627627|
        |rock|Jackon|man|24|NaN|126|394221|San Jone|home|7383627627|
        
        
        4. **With ignore parent Key**
        ```
        flatten_data = json_flatten(data,ignore_parent_key=['phoneNumbers','age'])
        ```
        | firstName | lastName | gender | address_state | address_streetAddress | address_postalCode | address_city |
        | ---- | ---- | ---- | ---- | ---- | ---- | ---- |
        |Rack|Jackon|man|CA|126|394221|San Jone|
        |rock|Jackon|man|NaN|126|394221|San Jone|
        
        
        *Disclaimer : For some heavily complex nested json which has combination of both sub json and other type like integer and string the relation may not work properly Do check your data for complex nested if realtions are proper. But for simple nested works perfect*
        
        Change Log
        ==============
        
        
        1.0.0 (12/4/2022)
        ------------------
        - First Release
        
        1.0.1 (12/4/2022)
        ------------------
        - Bug fix for complex nested json
        - Bug fix if key have a null value
        
        1.0.2 (12/4/2022)
        ------------------
        - Updated doc string details
Keywords: json flatten split dataframe
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
