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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def process_axes(self, obj, columns=None):
 """ process axes filters """


        # make a copy to avoid side effects
        if columns is not None:
            columns = list(columns)

        # make sure to include levels if we have them
        if columns is not None and self.is_multi_index:
            for n in self.levels:
                if n not in columns:
                    columns.insert(0, n)

        # reorder by any non_index_axes & limit to the select columns
        for axis, labels in self.non_index_axes:
            obj = _reindex_axis(obj, axis, labels, columns)

        # apply the selection filters (but keep in the same order)
        if self.selection.filter is not None:
            for field, op, filt in self.selection.filter.format():

                def process_filter(field, filt):

                    for axis_name in obj._AXIS_NAMES.values():
                        axis_number = obj._get_axis_number(axis_name)
                        axis_values = obj._get_axis(axis_name)

                        # see if the field is the name of an axis
                        if field == axis_name:

                            # if we have a multi-index, then need to include
                            # the levels
                            if self.is_multi_index:
                                filt = filt.union(Index(self.levels))

                            takers = op(axis_values, filt)
                            return obj.loc._getitem_axis(takers,
                                                         axis=axis_number)

                        # this might be the name of a file IN an axis
                        elif field in axis_values:

                            # we need to filter on this dimension
                            values = ensure_index(getattr(obj, field).values)
                            filt = ensure_index(filt)

                            # hack until we support reversed dim flags
                            if isinstance(obj, DataFrame):
                                axis_number = 1 - axis_number
                            takers = op(values, filt)
                            return obj.loc._getitem_axis(takers,
                                                         axis=axis_number)

                    raise ValueError("cannot find the field [{field}] for "
                                     "filtering!".format(field=field))

                obj = process_filter(field, filt)

        return obj