Web Reference: Jul 23, 2025 · For example, an array like [1, 2, 4, 8, 10] can be normalized to [0.0, 0.125, 0.375, 0.875, 1.0], where the smallest value becomes 0, the largest becomes 1 and all other values are scaled proportionally in between. Let's explore different methods to perform this efficiently. Sep 22, 2023 · In this tutorial, you’ll learn how normalize NumPy arrays, including multi-dimensional arrays. Normalization is an important skill for any data analyst or data scientist. normalize requires a 2D input. You can pass the axis= argument to specify whether you want to apply the normalization across the rows or columns of your input array. Note that the 'norm' argument of the normalize function can be either 'l1' or 'l2' and the default is 'l2'.
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