code: def test_columnar_convert_type_default():
      converter = ColumnarConverter(
          name="some_name",
          default_type="foo",
          type_column=None,
          column_defaults={},
          selected_columns={},
          transform_columns={},
      )
      ids, columns, type_info = converter.convert(_EMPTY_DF)
      np.testing.assert_array_equal(ids, [1, 2])
      assert columns == {}
      _check_type_info(type_info, [("foo", _empty_array(2))])
  
imports: import networkx
  import numpy
  import pandas
  import pytest
  from stellargraph.core.convert import ColumnarConverter, convert_nodes, convert_edges, from_networkx
  from stellargraph.core.indexed_array import IndexedArray
label_desc: Use image node_id 3 for calling a global function with example usage: test_columnar_convert_type_default() without return types