def daily_temperatures(self, periods, unit):

        if is_list_like(periods):
            values = np.array([self._period_daily_temperatures(p, None) for p in periods])
            return self._unit_convert(values, unit)
        else:
            return self._period_daily_temperatures(periods, unit)
Writes the message to the log file with the WARN level.
dataset/ETHPy150Open impactlab/eemeter/eemeter/weather.py/WeatherSourceBase.daily_temperatures--crossover with--dataset/ETHPy150Open shellderp/sublime-robot-plugin/lib/robot/api/logger.py/warn