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Showing content from https://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.ndarray.copy.html below:

numpy.ndarray.copy — NumPy v1.17 Manual

Return a copy of the array.

order : {‘C’, ‘F’, ‘A’, ‘K’}, optional

Controls the memory layout of the copy. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible. (Note that this function and numpy.copy are very similar, but have different default values for their order= arguments.)

Examples

>>> x = np.array([[1,2,3],[4,5,6]], order='F')

>>> x
array([[0, 0, 0],
       [0, 0, 0]])

>>> y
array([[1, 2, 3],
       [4, 5, 6]])

>>> y.flags['C_CONTIGUOUS']
True

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