Method f

pandas/io/pytables.py:3847–3880

(i, c: str)

        base_pos = len(_indexables)

        def f(i, c: str) -> DataCol:
            assert isinstance(c, str)
            klass = DataCol
            if c in dc:
                klass = DataIndexableCol

            atom = getattr(desc, c)
            adj_name = _maybe_adjust_name(c, self.version)

            # TODO: why kind_attr here?
            values = getattr(table_attrs, f"{adj_name}_kind", None)
            dtype = getattr(table_attrs, f"{adj_name}_dtype", None)
            # Argument 1 to "_dtype_to_kind" has incompatible type
            # "Optional[Any]"; expected "str"  [arg-type]
            kind = _dtype_to_kind(dtype)  # type: ignore[arg-type]

            md = self.read_metadata(c)
            # TODO: figure out why these two versions of `meta` dont always match.
            #  meta = "category" if md is not None else None
            meta = getattr(table_attrs, f"{adj_name}_meta", None)

            obj = klass(
                name=adj_name,
                cname=c,
                values=values,
                kind=kind,
                pos=base_pos + i,
                typ=atom,
                table=self.table,
                meta=meta,
                metadata=md,
                dtype=dtype,
            )
            return obj

        # Note: the definition of `values_cols` ensures that each
        #  `c` below is a str.