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. Matrix or vector norm. This function is able to return one of eight different matrix norms, or one of an infinite number of vector norms (described below), depending on the value of the ord parameter. 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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