Web Reference: You can think of reshaping as first raveling the array (using the given index order), then inserting the elements from the raveled array into the new array using the same kind of index ordering as was used for the raveling. Jan 13, 2025 · In Python, numpy.reshape () function is used to give a new shape to an existing NumPy array without changing its data. It is important for manipulating array structures in Python. Let's understand with an example: In this tutorial, you'll learn how to use NumPy reshape () to rearrange the data in an array. You'll learn to increase and decrease the number of dimensions and to configure the data in the new array to suit your requirements.
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