How Can I Identify NaN Values in Python?

How to Identify NaN Values in Python

In Python, NaN (not a number) is represented by the float('nan') expression. Verifying the presence of NaN values within a dataset is essential for maintaining data integrity and preventing errors.

Solution using math.isnan:

The simplest and most effective way to check for NaN values in Python is to use the math.isnan function. This function accepts a numeric value as its argument and returns True if the value is NaN and False otherwise.

Example:

import math

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

By utilizing math.isnan, developers can easily identify and handle NaN values in their Python code, ensuring the integrity of their data and the accuracy of their computations.

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