Web Reference: When only condition is provided, this function is a shorthand for np.asarray(condition).nonzero(). Using nonzero directly should be preferred, as it behaves correctly for subclasses. Honestly, it's fairly rare that you actually need numpy.where but it just returns the indicies where a boolean array is True. Usually you can do what you need with simple boolean indexing. Sep 30, 2025 · By providing x and y as arguments, you can use numpy.where () to return different values depending on whether condition is true or false. Here, numpy.where () function checks the condition arr > 20.
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