copy(self, *args, **params) a.copy(order='C')
This function is the preferred method for creating an array copy. The function
numpy.copyis similar, but it defaults to using order 'K', and will not pass sub-classes through by default.
Controls the memory layout of the copy. 'C' means C-order, 'F' means F-order, 'A' means 'F' if :None:None:`a` is Fortran contiguous, 'C' otherwise. 'K' means match the layout of :None:None:`a` as closely as possible. (Note that this function and numpy.copy
are very similar but have different default values for their order= arguments, and this function always passes sub-classes through.)
Return a copy of the array.
numpy.copy
Similar function with different default behavior
>>> x = np.array([[1,2,3],[4,5,6]], order='F')
>>> y = x.copy()
>>> x.fill(0)
>>> x
array([[0, 0, 0],
[0, 0, 0]])>>> y
array([[1, 2, 3],
[4, 5, 6]])See :>>> y.flags['C_CONTIGUOUS'] True
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