class_docstr: A Resultset Object, used to store golden results to easily run tests that
  need to access said results without the overhead of running an algorithm
  to get the results.
  
  Parameters
  ----------
  data_dictionary : dict
      The existing algorithm output, expected as a dictionary
docstr: Converts the existing algorithm output from a dictionary to
  a cudf.DataFrame before writing the DataFrame to output into a csv
docstr_tok: ["Converts","the","existing","algorithm","output","from","a","dictionary","to","a","cudf.DataFrame","before","writing","the","DataFrame","to","output","into","a","csv"]
code: def get_cudf_dataframe(self):
      """
      Converts the existing algorithm output from a dictionary to
      a cudf.DataFrame before writing the DataFrame to output into a csv
      """
      return cudf.DataFrame(self._data_dictionary)
  
file_path: cugraph/python/cugraph/cugraph/testing/resultset.py
imports: import tarfile
  import urllib.request
  import cudf
  from cugraph.datasets.dataset import DefaultDownloadDir, default_download_dir
label_desc: Use image node_id 2 for calling the Resultset obj's underlying member method code with example usage: obj.get_cudf_dataframe() and returns: cudf