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Editorial Team
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Editorial Team
Asked: June 8, 20262026-06-08T08:37:59+00:00 2026-06-08T08:37:59+00:00

How do I remove NaN values from a NumPy array? [1, 2, NaN, 4,

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How do I remove NaN values from a NumPy array?

[1, 2, NaN, 4, NaN, 8]   ⟶   [1, 2, 4, 8]
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  1. Editorial Team
    Editorial Team
    2026-06-08T08:38:01+00:00Added an answer on June 8, 2026 at 8:38 am

    To remove NaN values from a NumPy array x:

    x = x[~numpy.isnan(x)]
    
    Explanation

    The inner function numpy.isnan returns a boolean/logical array which has the value True everywhere that x is not-a-number. Since we want the opposite, we use the logical-not operator ~ to get an array with Trues everywhere that x is a valid number.

    Lastly, we use this logical array to index into the original array x, in order to retrieve just the non-NaN values.

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