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modified hourly/monthly values in building.py to reduce number of properties using dictionaries

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pilar 2020-10-30 08:32:38 -04:00
parent 3a22e7afff
commit 584640ab6e
1 changed files with 21 additions and 97 deletions
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118
city_model_structure/building.py
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@ -41,12 +41,8 @@ class Building(CityObject):
self._usage_zones = []
self._building_units = []
self._type = 'building'
self._m_heating = pd.DataFrame()
self._h_heating = pd.DataFrame()
self._heating = pd.DataFrame()
self._m_cooling = pd.DataFrame()
self._h_cooling = pd.DataFrame()
self._cooling = pd.DataFrame()
self._heating = dict()
self._cooling = dict()
self._external_temperature = dict()
self._global_horizontal = dict()
self._diffuse = dict()
@ -283,109 +279,37 @@ class Building(CityObject):
self._building_units = value
@property
def _monthly_heating(self) -> pd.DataFrame:
def heating(self) -> dict:
"""
building monthly heating values in Watts-hour
:return: DataFrame with 12 values and a header with the source of those
heating demand in Wh
:return: dict{DataFrame(float)}
"""
return self._m_heating
@_monthly_heating.setter
def _monthly_heating(self, value):
"""
building monthly heating values in Watts-hour and a header with the source
:param value: DataFrame(heating demand)
"""
if self._m_heating.empty:
self._m_heating = value
else:
self._m_heating = pd.concat([self._m_heating, value], axis=1)
@property
def _hourly_heating(self) -> pd.DataFrame:
"""
building hourly heating values in Watts-hour
:return: DataFrame with 8760 values and a header with the source of those
"""
return self._h_heating
@_hourly_heating.setter
def _hourly_heating(self, value):
"""
building hourly heating values in Watts-hour and a header with the source
:param value: DataFrame(heating demand)
"""
if self._h_heating.empty:
self._h_heating = value
else:
self._h_heating = pd.concat([self._h_heating, value], axis=1)
def heating(self, time_scale):
"""
Get heating demand in Wh in a defined time_scale
:param time_scale: string.
:return: DataFrame(float)
"""
if time_scale == cte.time_scale['hour']:
self._heating = self._hourly_heating
elif time_scale == cte.time_scale['month']:
self._heating = self._monthly_heating
else:
raise NotImplementedError
return self._heating
@property
def _monthly_cooling(self) -> pd.DataFrame:
@heating.setter
def heating(self, value):
"""
building monthly cooling values in Watts-hour
:return: DataFrame with 12 values and a header with the source of those
heating demand in Wh
:param value: dict{DataFrame(float)}
"""
return self._m_cooling
@_monthly_cooling.setter
def _monthly_cooling(self, value):
"""
building monthly cooling values in Watts-hour and a header with the source
:param value: DataFrame(cooling demand)
"""
if self._m_cooling.empty:
self._m_cooling = value
else:
self._m_cooling = pd.concat([self._m_cooling, value], axis=1)
self._heating = value
@property
def _hourly_cooling(self) -> pd.DataFrame:
def cooling(self) -> dict:
"""
building hourly cooling values in Watts-hour
:return: DataFrame with 8760 values and a header with the source of those
cooling demand in Wh
:return: dict{DataFrame(float)}
"""
return self._h_cooling
@_hourly_cooling.setter
def _hourly_cooling(self, value):
"""
building hourly cooling values in Watts-hour and a header with the source
:param value: DataFrame(cooling demand)
"""
if self._h_cooling.empty:
self._h_cooling = value
else:
self._h_cooling = pd.concat([self._h_cooling, value], axis=1)
def cooling(self, time_scale):
"""
Get cooling demand in Wh in a defined time_scale
:param time_scale: string.
:return: DataFrame(float)
"""
if time_scale == cte.time_scale['hour']:
self._cooling = self._hourly_cooling
elif time_scale == cte.time_scale['month']:
self._cooling = self._monthly_cooling
else:
raise NotImplementedError
return self._cooling
@cooling.setter
def cooling(self, value):
"""
cooling demand in Wh
:param value: dict{DataFrame(float)}
"""
self._cooling = value
@property
def external_temperature(self) -> dict:
"""