{"id":201724,"date":"2024-01-10T05:34:27","date_gmt":"2024-01-10T05:34:27","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/how-to-check-if-a-value-is-nan-python\/"},"modified":"2024-01-10T05:34:27","modified_gmt":"2024-01-10T05:34:27","slug":"how-to-check-if-a-value-is-nan-python","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-check-if-a-value-is-nan-python\/","title":{"rendered":"How to check if a value is NaN Python?"},"content":{"rendered":"

NaN, which stands for “Not a Number,” is a special floating-point value defined in the IEEE floating-point standard. In Python, you may encounter NaN values when working with mathematical operations on invalid or missing data. To check if a value is NaN in Python, you can use the “math.isnan()” function or the “numpy.isnan()” function for NumPy arrays.<\/p>\n

**The following code snippet demonstrates how to check if a value is NaN in Python using both methods:**<\/p>\n

“`python
\nimport math
\nimport numpy as np<\/p>\n

value = float(‘nan’)<\/p>\n

# Using math.isnan()
\nif math.isnan(value):
\n print(“Value is NaN”)<\/p>\n

# Using numpy.isnan()
\nif np.isnan(value):
\n print(“Value is NaN”)
\n“`<\/p>\n

In the example above, we create a NaN value and check if it is NaN using both the “math.isnan()” and “numpy.isnan()” functions.<\/p>\n

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