Web Reference: By understanding the "conservation of elements" principle in reshaping and utilizing the -1 inference, you can confidently reshape your NumPy arrays without encountering this ValueError. 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. Nov 22, 2020 · reshape does not work in-place. It returns a new array: b = a.reshape(6,8). The resize method does work in-place, but as a result is picky about the kind of array that it works with. Unless we need to change the total number of elements, we usually use reshape.
YouTube Excerpt: Learn how to resolve the `
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