When you are working with JSON data, it is not inevitable that you may encounter an error message like ValueError: Out of range float values are not JSON compliant.
Understanding the Valueerror
The ValueError: Out of range float values are not JSON compliant occurs when you are attempting to parse a JSON string that consist of a float value exceeding the valid range defined by the JSON specification.
Now that we have a better understanding of the valueerror message, let’s show an example of how the error occur.
How the Error Reproduce?
Here is an example of how the error occur:
Example Scenario: ValueError Out of Range
We assume that we are developing a web application that retrieves data from an external API in JSON format.
The API returns a JSON response containing different fields, including a numeric value representing temperature.
Let’s say we have a Python script that makes a request to the API and tries to parse the JSON response.
However, when we attempt to load the JSON data into a Python dictionary using the json.loads() function, you encounter the following error:
ValueError: Out of range float values are not JSON compliant
This error message shown that there is a numeric value in the JSON data which is outside the valid range for a float value in JSON format.
To resolve this valueerror, you need to identify the problematic value and apply the proper transformations to ensure its comformity with JSON standards.
How to Fix the Valueerror: out of range float values are not json compliant?
To fix the ValueError: Out of range float values are not JSON compliant, we need to resolve the specific float value which is causing the problem.
Here’s a step-by-step solution to handle this valueerror effectively:
Solution 1: Identify the problematic float value
The first solution is to identify the float value in the JSON data that is causing the error.
To do this, you can evaluate the JSON data and look for any numeric values that might exceed the valid range of a float in JSON.
Solution 2: Convert the problematic float value
Once you have already identified the problematic float value, you need to convert it into a JSON-compliant format.
It is depends on the type of the value, you can apply one of the following solutions:
A. Truncate or round the float value
When the float value is within a close range of the valid range but has excessive decimal places, you can truncate or round the value to bring it within the valid range.
Here is an example code:
# Truncating the float value to 2 decimal places
example_problematic_variable = 1.23456789
rounded_example_value = round(example_problematic_variable, 2)
print(rounded_example_value)Output:
1.23
B. Convert the float value to a string
When the float value is too large or has a complicated illustration that exceeds the valid range, you can convert it to a string.
By illustrating the value as a string, you can ensure its conformity with JSON standards.
Here is an example:
# Truncating the float value to 2 decimal places
example_problematic_variable = 1.23456789e300
rounded_example_value = str(example_problematic_variable)
print(rounded_example_value)Solution 3: Update the JSON data
After converting the problematic float value, you need to update the JSON data by changing the original value with the transformed value.
Make sure that the modified JSON data remains valid and heed to the JSON syntax.
Solution 4: Parse the updated JSON data
Finally, parse the updated JSON data using the correct JSON parsing method in your programming language.
In Python, you can use the json.loads() function to load the altered JSON data into a dictionary or object for further processing.
FAQs
This error occurs when you attempt to parse a JSON string that contains a float value outside the valid range defined by the JSON specification.
To identify the problematic float value, you can analyze the JSON data and look for any numeric values that might exceed the valid range of a float in JSON.
Yes, there many programming languages provide JSON libraries or modules that handle out of range float values automatically by converting them to alternative representations, such as scientific notation or string values.
Yes, several online JSON validators are available that can help you validate your JSON data and detect any issues, including out of range float values.
Conclusion
Handling the ValueError: Out of range float values are not JSON compliant error is very important when working with JSON data.
By following the step-by-step solution provided in this article, you can effectively identify and transform problematic float values to make them compliant with JSON standards.
Remember to analyze the specific JSON data causing the error, convert the problematic value if necessary, and update the JSON data accordingly.
