Python AttributeError
This error occurs when you try to access an attribute that does not exist in the JSON data. It is raised when an attribute is accessed that does not exist in the JSON data. (Each comma-separated key-value pair in JSON is called an attribute).
Problem Statement
In this example, we have created a json_data with the keys name, age then we have used the try-catch block to get the error if it comes otherwise we are printing the person object name key.
Python3
import json json_data = '{ "person": { "name": "Om Mishra", "age": 30 } }' try : data = json.loads(json_data) name = data[ "person" ].name print (name) except AttributeError: print ( "Invalid key in JSON data. Expected 'name' key to be present." ) |
Output
Invalid key in JSON data. Expected 'name' key to be present.
Explanation
In this example, we try to access the name attribute of the person object in the data dictionary using dot notation. However, the name attribute does not exist in the person object, so Python raises an AttributeError with the message “‘dict’ object has no attribute ‘name'”. To fix this error, we can access the name attribute using dictionary notation instead.
name = data["person"]["name"]
Solution
Python3
import json json_data = '{ "person" : { "name" : "Om Mishra" , "age" : 30 } }' try : data = json.loads(json_data) name = data[ "person" ][ "name" ] print (name) except AttributeError: print ( "Invalid key in JSON data." + "Expected 'name' key to be present." ) |
Output
Om Mishra
JSON Parsing Errors in Python
JSON is a widely used format for exchanging data between systems and applications. Python provides built-in support for working with JSON data through its JSON module. However, JSON parsing errors can occur due to various reasons such as incorrect formatting, missing data, or data type mismatches.
There are different JSON parsing errors that can occur depending on the specific scenario when the JSON data is being parsed. Some common JSON parsing errors that occur in Python are: