human
Complete the below
def create_nd_panel_factory(klass_name, orders, slices, slicer, aliases=None, stat_axis=2, info_axis=0, ns=None):

    ''''manufacture a n-d class:
    .. deprecated:: 0.19.0
    The recommended way to represent these types of n-dimensional data
    are with the `xarray package <http://xarray.pydata.org/en/stable/>`__.
    Pandas provides a `.to_xarray()` method to automate this conversion.
    Parameters
    klass_name : the klass name
    orders : the names of the axes in order (highest to lowest)
    slices : a dictionary that defines how the axes map to the slice axis
    slicer : the class representing a slice of this panel
    aliases : a dictionary defining aliases for various axes
    default = { major : major_axis, minor : minor_axis }
    stat_axis : the default statistic axis default = 2
    info_axis : the info axis
    Returns
    a class object representing this panel'
    '''

Give me a the Python code you requested?
assistant
#Here is the Python code you requested.
    if isinstance(slicer, compat.string_types):
        import pandas
        try:
            slicer = getattr(pandas, slicer)
        except:
            raise Exception(('cannot    create    this    slicer    [%s]' % slicer))
    ns = ({} if (not ns) else ns)
    klass = type(klass_name, (slicer,), ns)
    klass._setup_axes(axes=orders, info_axis=info_axis, stat_axis=stat_axis, aliases=aliases, slicers=slices)
    klass._constructor_sliced = slicer
    def __init__(self, *args, **kwargs):
        warnings.warn('\n{klass}    is    deprecated    and    will    be    removed    in    a    future    version.\nThe    recommended    way    to    represent    these    types    of    n-dimensional    data    are    with    the\n`xarray    package    <http://xarray.pydata.org/en/stable/>`__.\nPandas    provides    a    `.to_xarray()`    method    to    help    automate    this    conversion.\n'.format(klass=self.__class__.__name__), FutureWarning, stacklevel=2)
        if (not (kwargs.get('data') or len(args))):
            raise Exception(('must    supply    at    least    a    data    argument    to    [%s]' % klass_name))
        if ('copy' not in kwargs):
            kwargs['copy'] = False
        if ('dtype' not in kwargs):
            kwargs['dtype'] = None
        self._init_data(*args, **kwargs)
    klass.__init__ = __init__
    def _get_plane_axes_index(self, axis):
        '    return    the    sliced    index    for    this    object    '
        axis_name = self._get_axis_name(axis)
        index = self._AXIS_ORDERS.index(axis)
        planes = []
        if index:
            planes.extend(self._AXIS_ORDERS[0:index])
        if (index != self._AXIS_LEN):
            planes.extend(self._AXIS_ORDERS[(index + 1):])
        return planes
    klass._get_plane_axes_index = _get_plane_axes_index
    def _combine(self, other, func, axis=0):
        if isinstance(other, klass):
            return self._combine_with_constructor(other, func)
        return super(klass, self)._combine(other, func, axis=axis)
   ...