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Changed variable names and code indentation

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This commit is contained in:
Peter Yefi 2021-10-26 11:11:48 +00:00
parent ca191ab480
commit 8e86f299d5
1 changed files with 69 additions and 69 deletions
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138
imports/energy_systems/xlsx_heat_pump_parameters.py
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@ -13,87 +13,87 @@ from city_model_structure.energy_system import EnergySystem
class XlsxHeatPumpParameters:
"""
"""
XlsxHeatPumpParameters class
"""
def __init__(self, city, base_path):
self._city = city
self._base_path = (base_path / 'heat_pumps/Air source.xlsx')
def __init__(self, city, base_path):
self._city = city
self._base_path = (base_path / 'heat_pumps/Air source.xlsx')
def _read_file(self) -> Dict:
"""
def _read_file(self) -> Dict:
"""
reads xlsx file containing the heat pump information
into a dictionary
:return : Dict
"""
xl_file = pd.ExcelFile(self._base_path)
heat_pump_dfs = {sheet_name: xl_file.parse(sheet_name)
for sheet_name in xl_file.sheet_names}
xl_file = pd.ExcelFile(self._base_path)
heat_pump_dfs = {sheet_name: xl_file.parse(sheet_name)
for sheet_name in xl_file.sheet_names}
cooling_data = {}
heating_data = {}
cooling_data = {}
heating_data = {}
for sheet, dataframe in heat_pump_dfs.items():
if sheet == "Summary":
continue
# Remove nan rows and columns and extract cooling and heating data
# for each sheet
df = heat_pump_dfs[sheet].dropna(axis=1, how='all')
cooling_df = df.iloc[4:34, 0:8]
heating_df = df.iloc[4:29, 8:20]
for sheet, dataframe in heat_pump_dfs.items():
if sheet == "Summary":
continue
# Remove nan rows and columns and extract cooling and heating data
# for each sheet
df = heat_pump_dfs[sheet].dropna(axis=1, how='all')
cooling_df = df.iloc[4:34, 0:8]
heating_df = df.iloc[4:29, 8:20]
# extract the data into dictionaries each sheet is a key entry in the
# dictionary
cooling_data[sheet] = {}
heating_data[sheet] = {}
i = 0
# for each sheet extract data for twout/Ta.RU temperatures. Thus, the twout
# temp is the key for the values of pf,pa,qw data
while i < 25:
cooling_data[sheet][cooling_df.iloc[i][0]] = cooling_df.iloc[i + 1:i + 4, 2:8].values.tolist()
heating_data[sheet][heating_df.iloc[i][0]] = heating_df.iloc[i + 1:i + 4, 2:8].values.tolist()
i = i + 5
# extract the last cooling data
cooling_data[sheet][cooling_df.iloc[i][0]] = cooling_df.iloc[i + 1:i + 4, 2:8]
return {"cooling": cooling_data, "heating": heating_data}
# extract the data into dictionaries each sheet is a key entry in the
# dictionary
cooling_data[sheet] = {}
heating_data[sheet] = {}
i = 0
# for each sheet extract data for twout/Ta.RU temperatures. Thus, the twout
# temp is the key for the values of pf,pa,qw data
while i < 25:
cooling_data[sheet][cooling_df.iloc[i][0]] = cooling_df.iloc[i + 1:i + 4, 2:8].values.tolist()
heating_data[sheet][heating_df.iloc[i][0]] = heating_df.iloc[i + 1:i + 4, 2:8].values.tolist()
i = i + 5
# extract the last cooling data
cooling_data[sheet][cooling_df.iloc[i][0]] = cooling_df.iloc[i + 1:i + 4, 2:8]
return {"cooling": cooling_data, "heating": heating_data}
def enrich_city(self):
"""
def enrich_city(self):
"""
Enriches the city with information from file
"""
heap_pump_data = self._read_file()
for (k_cool, v_cool), (k_heat, v_heat) in \
zip(heap_pump_data["cooling"].items(), heap_pump_data["heating"].items()):
heat_pump = HeatPump()
heat_pump.model = k_cool
h_data = self._extract_heat_pump_data(v_heat)
c_data = self._extract_heat_pump_data(v_cool)
heat_pump.cooling_pf = c_data[0]
heat_pump.cooling_pa = c_data[1]
heat_pump.cooling_qw = c_data[2]
heat_pump.heating_pf = h_data[0]
heat_pump.heating_pa = h_data[1]
heat_pump.heating_qw = h_data[2]
energy_system = EnergySystem('{} capacity heat pump'.format(heat_pump.model), 0, [], None)
energy_system.heat_pump = heat_pump
self._city.add_city_object(energy_system)
return self._city
heap_pump_data = self._read_file()
for (k_cool, v_cool), (k_heat, v_heat) in \
zip(heap_pump_data["cooling"].items(), heap_pump_data["heating"].items()):
heat_pump = HeatPump()
heat_pump.model = k_cool
h_data = self._extract_heat_pump_data(v_heat)
c_data = self._extract_heat_pump_data(v_cool)
heat_pump.cooling_capacity = c_data[0]
heat_pump.cooling_comp_power = c_data[1]
heat_pump.cooling_water_flow = c_data[2]
heat_pump.heating_capacity = h_data[0]
heat_pump.heating_comp_power = h_data[1]
heat_pump.heating_water_flow = h_data[2]
energy_system = EnergySystem('{} capacity heat pump'.format(heat_pump.model), 0, [], None)
energy_system.heat_pump = heat_pump
self._city.add_city_object(energy_system)
return self._city
def _extract_heat_pump_data(self, heat_pump_capacity_data) -> [List, List, List]:
"""
Fetches a list of metric based data for heat pump for various temperature,
eg. cooling capacity data for 12 capacity heat pump
for 6,7,8,9,10 and 11 degree celsius
:param heat_pump_capacity_data: the heat pump capacity data from the
which the metric specific data is fetched: {List}
:return: List
"""
pf_data = []
pa_data = []
qw_data = []
for _, metric_data in heat_pump_capacity_data.items():
pf_data.append(metric_data[0])
pa_data.append(metric_data[1])
qw_data.append(metric_data[2])
return [pf_data, pa_data, qw_data]
def _extract_heat_pump_data(self, heat_pump_capacity_data) -> [List, List, List]:
"""
Fetches a list of metric based data for heat pump for various temperature,
eg. cooling capacity data for 12 capacity heat pump
for 6,7,8,9,10 and 11 degree celsius
:param heat_pump_capacity_data: the heat pump capacity data from the
which the metric specific data is fetched: {List}
:return: List
"""
cooling_heating_capacity_data = []
compressor_power_data = []
water_flow_data = []
for _, metric_data in heat_pump_capacity_data.items():
cooling_heating_capacity_data.append(metric_data[0])
compressor_power_data.append(metric_data[1])
water_flow_data.append(metric_data[2])
return [cooling_heating_capacity_data, compressor_power_data, water_flow_data]