How to use the clustergrammer2.clustergrammer_fun.calc_clust.cluster_row_and_col function in clustergrammer2

sum_row = np.sum(mat, axis=1)
  max_sum = max(sum_row)

  for inst_filt in all_filt:

    cutoff = inst_filt * max_sum
    copy_net = deepcopy(net)
    inst_df = deepcopy(df)
    inst_df = run_filter.df_filter_row_sum(inst_df, cutoff, take_abs=False)

    tmp_net = deepcopy(Network())
    tmp_net.df_to_dat(inst_df)

    try:
      try:
        calc_clust.cluster_row_and_col(tmp_net, dist_type=dist_type,
                                       run_clustering=True)

      except:
        calc_clust.cluster_row_and_col(tmp_net, dist_type=dist_type,
                                       run_clustering=False)

      inst_view = {}
      inst_view['pct_row_' + rank_type] = inst_filt
      inst_view['dist'] = 'cos'
      inst_view['nodes'] = {}
      inst_view['nodes']['row_nodes'] = tmp_net.viz['row_nodes']
      inst_view['nodes']['col_nodes'] = tmp_net.viz['col_nodes']

      all_views.append(inst_view)

    except: