code: def describe_unsupported(series, **kwargs):
      
      leng = len(series)  # number of observations in the Series
      count = series.count()  # number of non-NaN observations in the Series
      n_infinite = count - series.count()  # number of infinte observations in the Series
  
      results_data = {'count': count,
                      'p_missing': 1 - count * 1.0 / leng,
                      'n_missing': leng - count,
                      'p_infinite': n_infinite * 1.0 / leng,
                      'n_infinite': n_infinite,
                      'type': base.S_TYPE_UNSUPPORTED}
  
      try:
          # pandas 0.17 onwards
          results_data['memorysize'] = series.memory_usage()
      except:
          results_data['memorysize'] = 0
  
      return pd.Series(results_data, name=series.name)
docs: Compute summary statistics of a unsupported (`S_TYPE_UNSUPPORTED`) variable (a Series).
  
      Parameters
      ----------
      series : Series
          The variable to describe.
  
      Returns
      -------
      Series
          The description of the variable as a Series with index being stats keys.