How to use the deepdish.io.ls.PandasSeriesNode function in deepdish

if raw:
                # Treat as regular dictionary
                pass
            elif pandas_type == 'frame':
                shape = _pandas_shape(level)
                new_node = PandasDataFrameNode(shape)
                return new_node
            elif pandas_type == 'series':
                try:
                    values = level._v_children['values']
                    size = len(values)
                    dtype = values.dtype
                except:
                    size = None
                    dtype = None
                new_node = PandasSeriesNode(size, dtype)
                return new_node
            elif pandas_type == 'wide':
                shape = _pandas_shape(level)
                new_node = PandasPanelNode(shape)
                return new_node
            # else: it will simply be treated as a dict

        elif level._v_title.startswith('sparse:') and not raw:
            frm = level._v_attrs.format
            dtype = level.data.dtype
            shape = tuple(level.shape[:])
            node = SparseMatrixNode(frm, shape, dtype)
            return node

        return node
    elif isinstance(level, tables.VLArray):