code: def test_issue664():
      n = 10000
      df = pd.DataFrame(
          {"a": [np.NaN] * n, "b": ["b"] * n, "c": [pd.NaT] * n}
      )
      df = df.fillna(value=np.nan)
  
      profile = ProfileReport(
          df,
          title="Pandas Profiling Report",
          explorative=True,
          minimal=True,
      )
      _ = profile.get_description()
  
imports: import numpy
  import pandas
  from ydata_profiling import ProfileReport
label_desc: Use image node_id 1 for calling a global function with example usage: test_issue664() without return types