code: def test_round_dc_to_scatterplot_df():
      rr = RoundReport(SOME_ROUND_DATACLASS)
  
      df = rr.to_round_scatterplot_df(
          SOME_METRIC_NAME, HYPERPARAMS_DIMS_WILDCARDS
      )
  
      assert SOME_METRIC_NAME in df.columns
      assert TrialReport.TRIAL_ID_COLUMN_NAME in df.columns
      for d in HYPERPARAMS_DIMS_WILDCARDS:
          assert d in df.columns
  
file_path: Neuraxle/testing_neuraxle/metaopt/test_automl_reports.py
imports: from typing import List
  import pytest
  from neuraxle.metaopt.data.reporting import BaseReport, ClientReport, MetricResultsReport, ProjectReport, RoundReport, TrialReport, TrialSplitReport, dataclass_2_report
  from neuraxle.metaopt.data.vanilla import BaseDataclass
  from testing_neuraxle.metaopt.test_automl_dataclasses import ALL_DATACLASSES, HYPERPARAMS_DIMS_WILDCARDS, SOME_CLIENT_DATACLASS, SOME_METRIC_NAME, SOME_PROJECT_DATACLASS, SOME_ROUND_DATACLASS, SOME_TRIAL_DATACLASS
label_desc: Use image node_id 3 for calling a global function with example usage: test_round_dc_to_scatterplot_df() without return types