code: def describe_date_1d(series):
      
      stats = dict()
      stats['type'] = base.TYPE_DATE
      stats['min'] = series.min()
      stats['max'] = series.max()
      stats['range'] = stats['max'] - stats['min']
      # Histograms
      stats['histogram'] = histogram(series)
      stats['mini_histogram'] = mini_histogram(series)
      return pd.Series(stats, name=series.name)
docs: Compute summary statistics of a date (`TYPE_DATE`) variable (a Series).
  
      Also create histograms (mini an full) of its distribution.
  
      Parameters
      ----------
      series : Series
          The variable to describe.
  
      Returns
      -------
      Series
          The description of the variable as a Series with index being stats keys.