@classmethod
def _setup_axes(cls, axes, info_axis=None, stat_axis=None, aliases=None, slicers=None, axes_are_reversed=False, build_axes=True, ns=None, docs=None):
    'Provide axes setup for the major PandasObjects.\n\n        Parameters\n        ----------\n        axes : the names of the axes in order (lowest to highest)\n        info_axis_num : the axis of the selector dimension (int)\n        stat_axis_num : the number of axis for the default stats (int)\n        aliases : other names for a single axis (dict)\n        slicers : how axes slice to others (dict)\n        axes_are_reversed : boolean whether to treat passed axes as\n            reversed (DataFrame)\n        build_axes : setup the axis properties (default True)\n        '
    cls._AXIS_ORDERS = axes
    cls._AXIS_NUMBERS = {a: i for (i, a) in enumerate(axes)}
    cls._AXIS_LEN = len(axes)
    cls._AXIS_ALIASES = (aliases or dict())
    cls._AXIS_IALIASES = {v: k for (k, v) in cls._AXIS_ALIASES.items()}
    cls._AXIS_NAMES = dict(enumerate(axes))
    cls._AXIS_SLICEMAP = (slicers or None)
    cls._AXIS_REVERSED = axes_are_reversed
    setattr(cls, '_typ', cls.__name__.lower())
    cls._ix = None
    if (info_axis is not None):
        cls._info_axis_number = info_axis
        cls._info_axis_name = axes[info_axis]
    if (stat_axis is not None):
        cls._stat_axis_number = stat_axis
        cls._stat_axis_name = axes[stat_axis]
    if build_axes:

        def set_axis(a, i):
            setattr(cls, a, properties.AxisProperty(i, docs.get(a, a)))
            cls._internal_names_set.add(a)
        if axes_are_reversed:
            m = (cls._AXIS_LEN - 1)
            for (i, a) in cls._AXIS_NAMES.items():
                set_axis(a, (m - i))
        else:
            for (i, a) in cls._AXIS_NAMES.items():
                set_axis(a, i)
    assert (not isinstance(ns, dict))
Provide axes setup for the major PandasObjects.

Parameters
----------
axes : the names of the axes in order (lowest to highest)
info_axis_num : the axis of the selector dimension (int)
stat_axis_num : the number of axis for the default stats (int)
aliases : other names for a single axis (dict)
slicers : how axes slice to others (dict)
axes_are_reversed : boolean whether to treat passed axes as
    reversed (DataFrame)
build_axes : setup the axis properties (default True)
@classmethod
def _setup_axes(cls, axes, info_axis=None, stat_axis=None, aliases=None, slicers=None, axes_are_reversed=False, build_axes=True, ns=None, docs=None):
    'Provide axes setup for the major PandasObjects.\n\n        Parameters\n        ----------\n        axes : the names of the axes in order (lowest to highest)\n        info_axis_num : the axis of the selector dimension (int)\n        stat_axis_num : the number of axis for the default stats (int)\n        aliases : other names for a single axis (dict)\n        slicers : how axes slice to others (dict)\n        axes_are_reversed : boolean whether to treat passed axes as\n            reversed (DataFrame)\n        build_axes : setup the axis properties (default True)\n        '
    cls._AXIS_ORDERS = axes
    cls._AXIS_NUMBERS = {a: i for (i, a) in enumerate(axes)}
    cls._AXIS_LEN = len(axes)
    cls._AXIS_ALIASES = (aliases or dict())
    cls._AXIS_IALIASES = {v: k for (k, v) in cls._AXIS_ALIASES.items()}
    cls._AXIS_NAMES = dict(enumerate(axes))
    cls._AXIS_SLICEMAP = (slicers or None)
    cls._AXIS_REVERSED = axes_are_reversed
    setattr(cls, '_typ', cls.__name__.lower())
    cls._ix = None
    if (info_axis is not None):
        cls._info_axis_number = info_axis
        cls._info_axis_name = axes[info_axis]
    if (stat_axis is not None):
        cls._stat_axis_number = stat_axis
        cls._stat_axis_name = axes[stat_axis]
    if build_axes:

        def set_axis(a, i):
            setattr(cls, a, properties.AxisProperty(i, docs.get(a, a)))
            cls._internal_names_set.add(a)
        if axes_are_reversed:
            m = (cls._AXIS_LEN - 1)
            for (i, a) in cls._AXIS_NAMES.items():
                set_axis(a, (m - i))
        else:
            for (i, a) in cls._AXIS_NAMES.items():
                set_axis(a, i)
    assert (not isinstance(ns, dict))