Clean-up of imports

demand_generator/__init__.py

-#!/usr/bin/env python
-# -*- coding:utf-8 -*-
-# Created by jgn on 30.11.2020.
-
 from .electrical_demand import *
 from .thermal_demand import *

demand_generator/electrical_demand/ElectricalDemand.py

@@ -25,11 +25,11 @@ THE SOFTWARE.
 # Smoothing factors pkl for household demand calculated with formula from VDEW 1999
 # Formula adjusted for accuracy by oemof: https://github.com/oemof/demandlib/blob/master/demandlib/bdew.py
 
+import calendar
 import datetime
 import numpy as np
-import pandas as pd
 import os
-import calendar
+import pandas as pd
 
 
 def add_weekdays2df(time_df, holidays=None, holiday_is_sunday=False):

demand_generator/electrical_demand/__init__.py

-#!/usr/bin/env python
-# -*- coding:utf-8 -*-
-# Created by jgn on 30.11.2020.
-
 from .ElectricalDemand import ElectricalDemand

demand_generator/thermal_demand/ThermalDemand.py

@@ -21,10 +21,11 @@ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 THE SOFTWARE.
 """
+
 from math import ceil
 import numpy as np
-import pandas as pd
 import os
+import pandas as pd
 
 # This is needed if we provide a default temperature pattern
 '''

demand_generator/thermal_demand/__init__.py

-#!/usr/bin/env python
-# -*- coding:utf-8 -*-
-# Created by jgn on 30.11.2020.
-
 from .ThermalDemand import ThermalDemand

input_profile_processor/calc_irradiance.py

@@ -24,7 +24,6 @@ THE SOFTWARE.
 
 import numpy as np
 import pandas as pd
-from datetime import timedelta
 
 def calc_total_irradiance(irradiance, timer, beta, psi_f, phi, lambda_st, lambda_1, alpha_albedo=0.2, reflection=1, refraction_index=2):
     """

input_profile_processor/input_profile_processor.py

@@ -21,14 +21,15 @@ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 THE SOFTWARE.
 """
-import pandas as pd
-from datetime import datetime
-from datetime import timedelta
+
 from Tooling.demand_generator.electrical_demand.ElectricalDemand import ElectricalDemand
 from Tooling.demand_generator.thermal_demand.ThermalDemand import ThermalDemand
 from Tooling.input_profile_processor.calc_irradiance import generate_g_t_series
 from Tooling.modifier import Modifier
 
+from datetime import datetime, timedelta
+import pandas as pd
+
 def process_input_profiles(input_profile_dict, t_start, dynamic):
     d_step_min = min(dynamic.step_size_p(position) for position in range(dynamic.number_of_steps()))
     # This entire process assumes four things: