How Can I Effectively Check for NaN Values in Python?

Checking for NaN Values

In Python, the float('nan') represents NaN (not a number). However, determining the presence of NaN values can be a challenge. This article will explore the most suitable method for verifying NaN values in your Python code.

Utilizing math.isnan

The most effective approach to identify NaN values is through the math.isnan function. This function takes a numeric value as its argument and returns a boolean value indicating whether or not the value is NaN. Here's an example:

import math

x = float('nan')
print(math.isnan(x))  # Output: True

In this example, math.isnan correctly identifies the NaN value assigned to x. Furthermore, math.isnan can be used to validate NaN values in various contexts, such as:

• Checking if computed results contain NaN values
• Validating user inputs that may potentially include NaN values
• Handling NaN values in scientific calculations

Remember that math.isnan operates on numeric values. Attempting to use it with non-numeric values will result in a TypeError.

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