Web Reference: numpy.where # numpy.where(condition, [x, y, ]/) # Return elements chosen from x or y depending on condition. Sep 30, 2025 · numpy.where () is used for conditional selection and replacement in NumPy arrays. It can be used to: Find indices that satisfy a condition Build a new array by choosing values from two options depending on a condition. In this example, np.where () is used with only a condition to get the indices where elements are greater than 20. 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.
YouTube Excerpt: Python NumPy Tutorial 15 - where
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