Web Reference: Learn how to use numpy.reshape to give a new shape to an array without changing its data. See parameters, return value, examples and notes on index ordering and memory layout. Learn how to change the shape of an array using reshape method in NumPy. See examples of reshaping from 1D to 2D or 3D, with or without unknown dimension, and flattening arrays. Nov 18, 2025 · Reshaping in NumPy refers to modifying the dimensions of an existing array without changing its data. The reshape () function is used for this purpose. It reorganizes the elements into a new shape, which is useful in machine learning, matrix operations and data preparation.
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