# numpy.ma.copy

ma.copy(self, *args, **params) a.copy(order='C') = <numpy.ma.core._frommethod object>

  > Return a copy of the array.

  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 `numpy.copy` are very similar but have different default values for their order= arguments, and this function always passes sub-classes through.)

  See also

  `numpy.copy`

    Similar function with different default behavior numpy.copyto

  Notes

  This function is the preferred method for creating an array copy. The function `numpy.copy` is similar, but it defaults to using order ‘K’, and will not pass sub-classes through by default.

  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

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