code: def test_nx_convert_multicol(graph_file):
      # read data and create a Nx Graph
      dataset_path = graph_file.get_path()
      nx_df = utils.read_csv_for_nx(dataset_path)
  
      G = nx.DiGraph()
  
      for row in nx_df.iterrows():
          G.add_edge(
              row[1]["0"], row[1]["1"], count=[row[1]["0"], row[1]["1"]]
          )
  
      nxG = nx.from_pandas_edgelist(nx_df, "0", "1")
  
      cuG = cugraph.utilities.convert_from_nx(nxG)
  
      assert nxG.number_of_nodes() == cuG.number_of_nodes()
      assert nxG.number_of_edges() == cuG.number_of_edges()
  
file_path: cugraph/python/cugraph/cugraph/tests/nx/test_nx_convert.py
imports: import pytest
  import pandas
  import networkx
  import cudf
  import cugraph
  from cugraph.testing import utils, DEFAULT_DATASETS
label_desc: Use image node_id 6 for calling a global function with example usage: test_nx_convert_multicol(graph_file) without return types