ndarray.copy()

ndarray.copy(order='C')

Return a copy of the array.

Parameters:

Parameters:	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 :func:numpy.copy are very similar, but have different default values for their order= arguments.)

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 :func: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')

>>> y = x.copy()

>>> x.fill(0)

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

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

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

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.ndarray.copy.html

doc_NumPy

2017-01-10 18:11:37

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