code: def disaggregate_humidity(self, method='equal', preserve_daily_mean=False):
          
          self.data_disagg.hum = melodist.disaggregate_humidity(
              self.data_daily,
              temp=self.data_disagg.temp,
              method=method,
              preserve_daily_mean=preserve_daily_mean,
              **self.statistics.hum
          )
docs: Disaggregate relative humidity.
  
          Parameters
          ----------
          method : str, optional
              Disaggregation method.
  
              ``equal``
                  Mean daily humidity is duplicated for the 24 hours of the day. (Default)
  
              ``minimal``:
                  Calculates humidity from daily dew point temperature by setting the dew point temperature
                  equal to the daily minimum temperature.
  
              ``dewpoint_regression``:
                  Calculates humidity from daily dew point temperature by calculating dew point temperature
                  using ``Tdew = a * Tmin + b``, where ``a`` and ``b`` are determined by calibration.
  
              ``linear_dewpoint_variation``:
                  Calculates humidity from hourly dew point temperature by assuming a linear dew point
                  temperature variation between consecutive days.
  
              ``min_max``:
                  Calculates hourly humidity from observations of daily minimum and maximum humidity.
  
              ``month_hour_precip_mean``:
                  Calculates hourly humidity from categorical [month, hour, precip(y/n)] mean values
                  derived from observations.
  
          preserve_daily_mean : bool, optional
              If True, correct the daily mean values of the disaggregated data with the observed daily means.