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modified monthly values to be a DataFrame and added hourly values

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pilar 2020-10-16 08:05:17 -04:00
parent 1e94596e1d
commit dd5b1cee68
1 changed files with 47 additions and 12 deletions
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59
city_model_structure/building.py
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@ -10,6 +10,7 @@ import numpy as np
from matplotlib import pylab
from shapely import ops
from shapely.geometry import MultiPolygon
import pandas as pd
from city_model_structure.surface import Surface
from city_model_structure.thermal_boundary import ThermalBoundary
@ -38,8 +39,10 @@ class Building(CityObject):
self._usage_zones = []
self._building_units = []
self._type = 'building'
self._monthly_heating = []
self._monthly_cooling = []
self._monthly_heating = pd.DataFrame()
self._monthly_cooling = pd.DataFrame()
self._hourly_heating = pd.DataFrame()
self._hourly_cooling = pd.DataFrame()
# ToDo: Check this for LOD4
self._thermal_zones = []
@ -272,33 +275,65 @@ class Building(CityObject):
self._building_units = value
@property
def monthly_heating(self) -> [float]:
def monthly_heating(self) -> pd.DataFrame:
"""
building monthly heating values in Watts-hour
:return: List of float (12 values)
:return: DataFrame with 12 values and a header with the source of those
"""
return self._monthly_heating
@monthly_heating.setter
def monthly_heating(self, value):
"""
building monthly heating values in Watts-hour
:param value: [heating demand]
building monthly heating values in Watts-hour and a header with the source
:param value: DataFrame(heating demand)
"""
self._monthly_heating = value
self._monthly_heating.append(value)
@property
def monthly_cooling(self) -> [float]:
def monthly_cooling(self) -> pd.DataFrame:
"""
building monthly cooling values in Watts-hour
:return: List of float (12 values)
:return: DataFrame with 12 values and a header with the source of those
"""
return self._monthly_cooling
@monthly_cooling.setter
def monthly_cooling(self, value):
"""
building monthly cooling values in Watts-hour
:param value: [heating demand]
building monthly cooling values in Watts-hour and a header with the source
:param value: DataFrame(cooling demand)
"""
self._monthly_cooling = value
self._monthly_cooling.append(value)
@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._hourly_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)
"""
self._hourly_heating.append(value)
@property
def hourly_cooling(self) -> pd.DataFrame:
"""
building hourly cooling values in Watts-hour
:return: DataFrame with 8760 values and a header with the source of those
"""
return self._hourly_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)
"""
self._hourly_cooling.append(value)