# numpy.copyto

numpy.copyto(dst, src, casting='same_kind', where=True)

  Copies values from one array to another, broadcasting as necessary.

  Raises a TypeError if the casting rule is violated, and if `where` is provided, it selects which elements to copy.

  New in version 1.7.0.

  Parameters:
    dst ndarray

      The array into which values are copied.

    src array_like

      The array from which values are copied.

    casting{‘no’, ‘equiv’, ‘safe’, ‘same_kind’, ‘unsafe’}, optional

      Controls what kind of data casting may occur when copying.

      > - ‘no’ means the data types should not be cast at all.

      > - ‘equiv’ means only byte-order changes are allowed.

      > - ‘safe’ means only casts which can preserve values are allowed.

      > - ‘same_kind’ means only safe casts or casts within a kind, like float64 to float32, are allowed.

      > - ‘unsafe’ means any data conversions may be done.

    where array_like of bool, optional

      A boolean array which is broadcasted to match the dimensions of dst, and selects elements to copy from src to dst wherever it contains the value True.

  Examples

      >>> A = np.array([4, 5, 6])
      >>> B = [1, 2, 3]
      >>> np.copyto(A, B)
      >>> A
      array([1, 2, 3])

      >>> A = np.array([[1, 2, 3], [4, 5, 6]])
      >>> B = [[4, 5, 6], [7, 8, 9]]
      >>> np.copyto(A, B)
      >>> A
      array([[4, 5, 6],
             [7, 8, 9]])