Flattening JSON objects in Python
JSON(JavaScript Object Notation) is a data-interchange format that is human-readable text and is used to transmit data, especially between web applications and servers. The JSON files will be like nested dictionaries in Python. To convert a text file into JSON, there is a json module in Python. This module comes in-built with Python standard modules, so there is no need to install it externally.
A flatten json is nothing but there is no nesting is present and only key-value pairs are present.
Example:
Unflattened JSON:
{‘user’ :{‘Rachel’:{‘UserID’:1717171717,
‘Email’: ‘rachel1999@gmail.com’,
‘friends’: [‘John’, ‘Jeremy’, ‘Emily’]}}}Flattened JSON:
{‘user_Rachel_friends_2’: ‘Emily’, ‘user_Rachel_friends_0’: ‘John’, ‘user_Rachel_UserID’: 1717171717, ‘user_Rachel_Email’: ‘rachel1999@gmail.com’, ‘user_Rachel_friends_1’: ‘Jeremy’}
Need of flattening JSON
There are many reasons for the need of flattening JSON, such as for a better and understandable view that is there are only key-value pairs are present without any nesting. It also allows for context-specific security and constraints to be implemented in a readable, but in more verbose way.
Approach to flatten JSON
There are many ways to flatten JSON. There is one recursive way and another by using the json-flatten library.
- Recursive Approach: Now we can flatten the dictionary array by a recursive approach which is quite easy to understand. The recursive approach is a bit slower than using
- Using flatten_json library: json-flatten library provides functions for flattening a JSON object to a single key-value pairs, and unflattening that dictionary back to a JSON object.
Installing library
In order to use the flatten_json library, we need to install this library. flatten_json can be installed by running the following command in the terminal.
pip install json-flatten
Example:
fromflatten_jsonimportflattenunflat_json={'user':{'Rachel':{'UserID':1717171717,'Email':'rachel1999@gmail.com','friends': ['John','Jeremy','Emily']}}}flat_json=flatten(unflat_json)print(flat_json)Output :
{‘user_Rachel_UserID’: 1717171717, ‘user_Rachel_Email’: ‘rachel1999@gmail.com’, ‘user_Rachel_friends_0’: ‘John’, ‘user_Rachel_friends_1’: ‘Jeremy’, ‘user_Rachel_friends_2’: ‘Emily’}
json-flatten library.Example:
# for a array value of a keyunflat_json = {'user' : {'Rachel': {'UserID':1717171717, 'Email': 'rachel1999@gmail.com', 'friends': ['John', 'Jeremy', 'Emily'] } } } # Function for flattening # jsondef flatten_json(y): out = {} def flatten(x, name =''): # If the Nested key-value # pair is of dict type if type(x) is dict: for a in x: flatten(x[a], name + a + '_') # If the Nested key-value # pair is of list type elif type(x) is list: i = 0 for a in x: flatten(a, name + str(i) + '_') i += 1 else: out[name[:-1]] = x flatten(y) return out # Driver codeprint(flatten_json(unflat_json)) |
Output :
{‘user_Rachel_friends_2’: ‘Emily’, ‘user_Rachel_friends_0’: ‘John’, ‘user_Rachel_UserID’: 1717171717, ‘user_Rachel_Email’: ‘rachel1999@gmail.com’, ‘user_Rachel_friends_1’: ‘Jeremy’}




