orjson.JSONDecodeError in Python
Last Updated :
03 Apr, 2024
When working with JSON data in Python, errors may occur during decoding, especially if the data is malformed or incorrectly formatted. The orjson library, known for its speed and efficiency in handling JSON, provides a specific exception called orjson.JSONDecodeError to handle such situations. In this article, we'll explore what orjson.JSONDecodeError is, why it occurs, and how to handle it effectively with illustrative examples.
What is Python orjson.JSONDecodeError?
The orjson.JSONDecodeError is a specific exception raised by the orjson library when there's an issue decoding JSON data. This error typically occurs when the JSON data being decoded is invalid or does not conform to the expected JSON format.
orjson.JSONDecodeError in Python
Below are the uses of orjson.JSONDecodeError in Python:
Handling Invalid JSON Data
In this example, we deliberately provide an incomplete JSON string, missing the closing bracket. As a result, orjson.loads() raises a JSONDecodeError, indicating the location and nature of the error.
Python3
import orjson
# Invalid JSON string
json_string = '{"name": "John", "age": 30, "city": "New York"'
try:
# Parsing invalid JSON string
data = orjson.loads(json_string)
print(data)
except orjson.JSONDecodeError as e:
print("Error parsing JSON:", e)
Output:
Error parsing JSON: unexpected end of data: line 1 column 47 (char 46)
Handling Unexpected JSON Structure
In this example, the JSON string has an unexpected structure, using square brackets ([]) instead of curly braces ({}). As a result, orjson.loads() raises a JSONDecodeError, indicating that it expects property names to be enclosed in double quotes.
Python3
import orjson
# Invalid JSON string with unexpected structure
json_string = '["name": "John", "age": 30, "city": "New York"]'
try:
# Parsing invalid JSON string
data = orjson.loads(json_string)
print(data)
except orjson.JSONDecodeError as e:
print("Error parsing JSON:", e)
Output:
Error parsing JSON: unexpected character: line 1 column 8 (char 7)
Handling Missing JSON Files
In this example, we attempt to read JSON data from a non-existent file. As expected, FileNotFoundError is raised, indicating that the file does not exist. However, if the file existed but contained invalid JSON data, orjson.JSONDecodeError would be raised instead.
a.json
'{"name": "John", "age": 30, "city": "New York"'
Python3
import orjson
# Non-existent JSON file path
json_file = 'a.json'
try:
# Reading JSON data from file
with open(json_file, 'r') as f:
json_data = f.read()
# Parsing JSON data using orjson.loads()
data = orjson.loads(json_data)
# Displaying the parsed data
print(data)
except FileNotFoundError:
print("File not found:", json_file)
except orjson.JSONDecodeError as e:
print("Error parsing JSON:", e)
Output:
Error parsing JSON: unexpected character: line 1 column 1 (char 0)
Similar Reads
Orjson Library in Python Orjson is a third-party Python library that provides a fast and efficient implementation of JSON encoding and decoding. It is written in C and is optimized for performance also Orjson is a Python library designed for fast JSON serialization and deserialization. It is built with a focus on performanc
3 min read
Python json.decoder Module The json. Decoder module in Python is one of the fundamental components in json library which contains the methods for processing the JSON (JavaScript Object Notation). JSON is a widely used data representation format and encoding/decoding JSON data is very easy in Python through the help of json mo
5 min read
Python orjson.loads() Method Python orjson.loads() method is used to deserialize a JSON string into a Python object using the orjson library of Python. In this article, we will learn about the Python orjson.loads() function. What is Python orjson.loads() Method?The orjson.loads() function is part of the orjson library and is us
2 min read
json.loads() in Python JSON is a lightweight data format used for storing and exchanging data across systems. Python provides a built-in module called json to work with JSON data easily. The json.loads() method of JSON module is used to parse a valid JSON string and convert it into a Python dictionary. For example:Pythoni
4 min read
How to JSON decode in Python? When working with JSON data in Python, we often need to convert it into native Python objects. This process is known as decoding or deserializing. The json module in Python provides several functions to work with JSON data, and one of the essential tools is the json.JSONDecoder() method. This method
5 min read
json.load() in Python The full-form of JSON is JavaScript Object Notation. It means that a script (executable) file which is made of text in a programming language, is used to store and transfer the data. Python supports JSON through a built-in package called json. To use this feature, we import the json package in Pytho
3 min read
Pretty Print JSON in Python JSON is a javascript notation of storing and fetching the data. Data is usually stored in JSON, XML or in some other database. It is a complete language-independent text format. To work with JSON data, Python has a built-in package called json. Note: For more information, refer to Read, Write and Pa
2 min read
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.Th
6 min read
json.loads() vs json.loads() in Python orjson.loads() and json.loads() are both Python methods used to deserialize (convert from a string representation to a Python object) JSON data. orjson and json are both Python libraries that provide functions for encoding and decoding JSON data. However, they have some differences in terms of perfo
4 min read
JSON Formatting in Python JSON (JavaScript Object Notation) is a popular data format that is used for exchanging data between applications. It is a lightweight format that is easy for humans to read and write, and easy for machines to parse and generate. Python Format JSON Javascript Object Notation abbreviated as JSON is a
3 min read