Python ValueError
ValueError occurs when the JSON data contains a value that is not of the expected data type, such as a string instead of an integer or vice versa. It is raised when JSON is parsed to access a value with an invalid data type.
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 age integer value.
Python3
import json# age has string valuejson_data = '{ "name": "Om Mishra", "age": "twenty two" }' try: data = json.loads(json_data) age = int(data["age"]) print(age)except ValueError: print("'age' value is not a valid integer in JSON data") |
Output
'age' value is not a valid integer in JSON data
Explanation
In this example, we try to parse the json_data, which successfully loads the JSON data into a dictionary. However, when we try to access the age key, which has a string value of “twenty-two“, and then try to convert it into an integer using int(), we get a ValueError because the string “twenty-two” cannot be converted into an integer. To fix this error, change the string value “twenty-two” to integer 22.
Python3
import json# age has string valuejson_data = '{ "name": "Om Mishra", "age": "22" }' try: data = json.loads(json_data) age = int(data["age"]) print(age)except ValueError: print("'age' value is not a valid integer in JSON data") |
Output
22
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: