CERC/monthly_energy_balance_workflow
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fixed bug not printing results when building not processed

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This commit is contained in:
Pilar Monsalvete 2023-05-02 12:39:51 -04:00
parent d78ab8010c
commit adf62d56db
1 changed files with 14 additions and 6 deletions
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18
results.py
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@ -11,22 +11,30 @@ class Results:
def print(self):
print_results = None
file = 'city name: ' + self._city.name + '\n'
array = [None] * 12
for building in self._city.buildings:
if cte.MONTH in building.heating.keys():
heating_results = building.heating[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} heating Wh'})
else:
heating_results = pd.DataFrame(array, columns=[f'{building.name} heating Wh'])
if cte.MONTH in building.cooling.keys():
cooling_results = building.cooling[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} cooling Wh'})
else:
cooling_results = pd.DataFrame(array, columns=[f'{building.name} cooling Wh'])
if cte.MONTH in building.lighting_electrical_demand.keys():
lighting_results = building.lighting_electrical_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} lighting electrical demand Wh'})
else:
lighting_results = pd.DataFrame(array, columns=[f'{building.name} lighting electrical demand Wh'])
if cte.MONTH in building.appliances_electrical_demand.keys():
appliances_results = building.appliances_electrical_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} appliances electrical demand Wh'})
else:
appliances_results = pd.DataFrame(array, columns=[f'{building.name} appliances electrical demand Wh'])
if cte.MONTH in building.domestic_hot_water_heat_demand.keys():
dhw_results = building.domestic_hot_water_heat_demand[cte.MONTH]\
.rename(columns={cte.INSEL_MEB: f'{building.name} domestic hot water demand Wh'})
else:
array = [None] * 12
heating_results = pd.DataFrame(array, columns=[f'{building.name} heating Wh'])
cooling_results = pd.DataFrame(array, columns=[f'{building.name} cooling Wh'])
lighting_results = pd.DataFrame(array, columns=[f'{building.name} lighting electrical demand Wh'])
appliances_results = pd.DataFrame(array, columns=[f'{building.name} appliances electrical demand Wh'])
dhw_results = pd.DataFrame(array, columns=[f'{building.name} domestic hot water demand Wh'])
if print_results is None:
print_results = heating_results