reshaping arrays by NumPy with example in python , python in windows 11 or windows 10 or ubuntu or fedora

NumPy is a powerful library in Python for numerical computations. One of its key features is the ability to efficiently manipulate arrays of data. One such operation is reshaping arrays.

Reshaping an array means changing its dimensions without changing its data. In NumPy, the reshape function can be used to reshape an array. The basic syntax is as follows:

Output Is :

In this example, we created a 1D array `arr` with 12 elements, and then used the `reshape` function to transform it into a 3x4 array `new_arr`. The elements of the original array are preserved, but their positions have been rearranged to fit the new shape of the array.

Note that the size of the original array must be compatible with the size of the reshaped array. In this case, the original array has 12 elements, which can be arranged into a 3x4 array. If we tried to reshape the array into a 2x4 or a 4x4 array, for example, we would get an error.

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