``, making a copy of the data if ``copy=True``.

    Examples
    --------
    >>> a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
    array([[1, 2, 3],
           [4, 5, 6],
           [7, 8, 9]])

    >>> np.core.records.array(a)
    rec.array([[1, 2, 3],
               [4, 5, 6],
               [7, 8, 9]],
        dtype=int32)

    >>> b = [(1, 1), (2, 4), (3, 9)]
    >>> c = np.core.records.array(b, formats = ['i2', 'f2'], names = ('x', 'y'))
    >>> c
    rec.array([(1, 1.0), (2, 4.0), (3, 9.0)],
              dtype=[('x', '<i2'), ('y', '<f2')])

    >>> c.x
    rec.array([1, 2, 3], dtype=int16)

    >>> c.y
    rec.array([ 1.0,  4.0,  9.0], dtype=float16)

    >>> r = np.rec.array(['abc','def'], names=['col1','col2'])
    >>> print(r.col1)
    abc

    >>> r.col1
    array('abc', dtype='<U3')

    >>> r.col2
    array('def', dtype='<U3')
    Nrę