numpy.copy(a, order='K')[source]¶Return an array copy of the given object.
Input data.
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 ndarray.copy are very
similar, but have different default values for their order=
arguments.)
Array interpretation of a.
Notes
This is equivalent to:
>>> np.array(a, copy=True)
Examples
Create an array x, with a reference y and a copy z:
>>> x = np.array([1, 2, 3])
>>> y = x
>>> z = np.copy(x)
Note that, when we modify x, y changes, but not z:
>>> x[0] = 10
>>> x[0] == y[0]
True
>>> x[0] == z[0]
False