Metadata-Version: 2.1
Name: json-flattening
Version: 1.0.0
Summary: Package to flatten json Data
Home-page: UNKNOWN
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 heavily complex nested json which has combination of both sub json and other type like integer and string\
         the relation may not work properly for simple nested works perfect*
        
        Change Log
        ==============
        
        
        1.0.0 (12/4/2022)
        ------------------
        - First Release
        
Keywords: json flatten
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
