Python weather_data_calculator Examples

Example #1

File: Assignment8_main.py Project: DanieleSchiavo/EETBS-Assignments-Polimi-2018-2019-

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy as sp

import fenestration_functions as func
import IntGains_Inf_Vent_DistrLosses as iv
import FunctionsOpaque as funcOp
import psySI as SI
import latent_functions as lat
#Weather Inputs:

inputs_DF = pd.read_csv("input_weather_Piacenza.csv",sep=";",index_col=0) #taking weather data for Piacenza and putting into data frame
inputs_list = func.weather_data_calculator(inputs_DF) #makes list of delta Theat, delta Tcool, DR, latitude, specific humidity (taken from fenestration_functions)


# Opaque surfaces Calculation:
numericalDataDF = pd.read_csv("input_numerical_data.csv",sep=";",index_col= 0)   #taking geometrical dimensions of house, putting into data frame
dataDF = pd.read_csv("input_data.csv",sep=";",index_col= 0) #types of material, colour and type of roof, necessary data for opaque cooling calculations
materials_DataFrame = pd.read_csv("resistences_materials.csv",sep=";",index_col= 1)   # taking materials and resistances into data frame
inputWalls_DataFrame_winter = pd.read_csv("input_data_walls_winter.csv",sep=";",index_col= 0) #all layers,fraction of area, their resistance for winter calculcations of Uwall,winter 
inputWalls_DataFrame_summer = pd.read_csv("input_data_walls_summer.csv",sep=";",index_col= 0)#all layers,fraction of area, their resistance for winter calculcations of Uwall,summer
inputDoor_DataFrame_winter = pd.read_csv("input_data_door_winter.csv",sep=";",index_col= 0) #name,type,area percentage for calculation Udoor,winter
inputDoor_DataFrame_summer = pd.read_csv("input_data_door_summer.csv",sep=";",index_col= 0)#name,type,area percentage for calculation Udoor,summer
    
U_wall_winter = funcOp.Utot_wall_Calculator(inputWalls_DataFrame_winter,materials_DataFrame) #putting all layers with AreaFrac=1 in series. Adding those with AF!=1,calculating Uparallel with series layers and adding them into new array of parallel layers, which are summed on the end
U_wall_summer = funcOp.Utot_wall_Calculator(inputWalls_DataFrame_summer,materials_DataFrame) #same as for winter, just taking different data frame(that for summer) 
U_door_winter = funcOp.Utot_door_Calculator(inputDoor_DataFrame_winter,materials_DataFrame) #same as for wall, just taking data for door and for winter in this case
U_door_summer = funcOp.Utot_door_Calculator(inputDoor_DataFrame_summer,materials_DataFrame) #calculating Udoor,summer 

Example #2

print os.getcwd()

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy as sp

import fenestration_functions as func
import IntGains_Inf_Vent_DistrLosses as iv
import FunctionsOpaque as funcOp
import psySI as SI
import latent_functions as lat
#Weather Inputs:

inputs_DF = pd.read_csv("input_weather_Piacenza.csv", sep=";", index_col=0)
inputs_list = func.weather_data_calculator(inputs_DF)

# Opaque surfaces Calculation:
numericalDataDF = pd.read_csv("input_numerical_data.csv", sep=";", index_col=0)
dataDF = pd.read_csv("input_data.csv", sep=";", index_col=0)
materials_DataFrame = pd.read_csv("resistences_materials.csv",
                                  sep=";",
                                  index_col=1)
inputWalls_DataFrame_winter = pd.read_csv("input_data_walls_winter++.csv",
                                          sep=";",
                                          index_col=0)
inputWalls_DataFrame_summer = pd.read_csv("input_data_walls_summer++.csv",
                                          sep=";",
                                          index_col=0)
inputDoor_DataFrame_winter = pd.read_csv("input_data_door_winter.csv",
                                         sep=";",

Example #3

File: Assignment 8+Part+A+Giulia+Sora.py Project: GiuliaSora/EETBS-Assignments-Polimi-2018-2019-

import IntGains_Inf_Vent_DistrLosses as iv
import FunctionsOpaque as funcOp
import psySI as SI
import latent_functions as lat

# RLF Base Case Resolution

# In[4]:

#Weather Inputs:

inputs_DF = pd.read_csv(
    "input_weather_Piacenza.csv", sep=";",
    index_col=0)  #taking weather data for Piacenza and putting into data frame
inputs_list = func.weather_data_calculator(
    inputs_DF
)  #makes list of delta Theat, delta Tcool, DR, latitude, specific humidity (taken from fenestration_functions)

# Opaque surfaces Calculation:
numericalDataDF = pd.read_csv(
    "input_numerical_data.csv", sep=";", index_col=0
)  #taking geometrical dimensions of house, putting into data frame
dataDF = pd.read_csv(
    "input_data.csv", sep=";", index_col=0
)  #types of material, colour and type of roof, necessary data for opaque cooling calculations
materials_DataFrame = pd.read_csv(
    "resistences_materials.csv", sep=";",
    index_col=1)  # taking materials and resistances into data frame
inputWalls_DataFrame_winter = pd.read_csv(
    "input_data_walls_winter.csv", sep=";", index_col=0
)  #all layers,fraction of area, their resistance for winter calculcations of Uwall,winter

Example #4

File: Piacenza_wall--.py Project: DanieleSchiavo/EETBS-Assignments-Polimi-2018-2019-

print os.getcwd()

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy as sp

import fenestration_functions as func
import IntGains_Inf_Vent_DistrLosses as iv
import FunctionsOpaque as funcOp
import psySI as SI
import latent_functions as lat
#Weather Inputs:

inputs_DF = pd.read_csv("input_weather_Piacenza.csv",sep=";",index_col=0)
inputs_list = func.weather_data_calculator(inputs_DF)


# Opaque surfaces Calculation:
numericalDataDF = pd.read_csv("input_numerical_data.csv",sep=";",index_col= 0)
dataDF = pd.read_csv("input_data.csv",sep=";",index_col= 0)
materials_DataFrame = pd.read_csv("resistences_materials.csv",sep=";",index_col= 1)
inputWalls_DataFrame_winter = pd.read_csv("input_data_walls_winter--.csv",sep=";",index_col= 0)
inputWalls_DataFrame_summer = pd.read_csv("input_data_walls_summer--.csv",sep=";",index_col= 0)
inputDoor_DataFrame_winter = pd.read_csv("input_data_door_winter.csv",sep=";",index_col= 0)
inputDoor_DataFrame_summer = pd.read_csv("input_data_door_summer.csv",sep=";",index_col= 0)
    
U_wall_winter = funcOp.Utot_wall_Calculator(inputWalls_DataFrame_winter,materials_DataFrame)  
U_wall_summer = funcOp.Utot_wall_Calculator(inputWalls_DataFrame_summer,materials_DataFrame)  
U_door_winter = funcOp.Utot_door_Calculator(inputDoor_DataFrame_winter,materials_DataFrame)  
U_door_summer = funcOp.Utot_door_Calculator(inputDoor_DataFrame_summer,materials_DataFrame)  

Example #5

File: Piacenza_basecase.py Project: IbrahimElKhoudari/Scientific_Python_Assignments_POLIMI_EETBS

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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy as sp

import fenestration_functions as func
import IntGains_Inf_Vent_DistrLosses as iv
import FunctionsOpaque as funcOp
import psySI as SI
import latent_functions as lat
#Weather Inputs:(Piacenza)

inputs_DF = pd.read_csv("input_weather_Piacenza.csv", sep=";", index_col=0)
inputs_list = func.weather_data_calculator(inputs_DF)

# Opaque surfaces Calculation:
numericalDataDF = pd.read_csv("input_numerical_data.csv", sep=";",
                              index_col=0)  #numerical
dataDF = pd.read_csv("input_data.csv", sep=";", index_col=0)  #string
materials_DataFrame = pd.read_csv("resistences_materials.csv",
                                  sep=";",
                                  index_col=1)  #materials and resistances
inputWalls_DataFrame_winter = pd.read_csv("input_data_walls_winter.csv",
                                          sep=";",
                                          index_col=0)
inputWalls_DataFrame_summer = pd.read_csv("input_data_walls_summer.csv",
                                          sep=";",
                                          index_col=0)
inputDoor_DataFrame_winter = pd.read_csv("input_data_door_winter.csv",

Example #6

File: Assignment8_main.py Project: mbarlay/EETBS-Assignments-Polimi-2018-2019-

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy as sp

#importing all functions:
import fenestration_functions as func
import IntGains_Inf_Vent_DistrLosses as iv
import FunctionsOpaque as funcOp
import psySI as SI
import latent_functions as lat

#Weather Inputs:
inputs_DF = pd.read_csv("input_weather_Piacenza.csv",sep=";",index_col=0)
inputs_list = func.weather_data_calculator(inputs_DF)   #deltaT, DR, latitude calculation


#BASECASE:
#WALL: wood_bevel, wood_fiber, com_brick, glass_fiber (70%), wood_stud_2.4 (30%), gypsum
#WINDOWS: 5c, wood frame, DrapesLightOpen, Fcl 0,4
#Type of construction: average

# Opaque surfaces Calculation:
numericalDataDF = pd.read_csv("input_numerical_data.csv",sep=";",index_col= 0)   #numerical data(Uceiling, dimensions)
dataDF = pd.read_csv("input_data.csv",sep=";",index_col= 0)     #string
materials_DataFrame = pd.read_csv("resistences_materials.csv",sep=";",index_col= 1)             #materials and resistances
inputWalls_DataFrame_winter = pd.read_csv("input_data_walls_winter.csv",sep=";",index_col= 0)   #layers of wall winter case
inputWalls_DataFrame_summer = pd.read_csv("input_data_walls_summer.csv",sep=";",index_col= 0)   #layers of wall summer case
inputDoor_DataFrame_winter = pd.read_csv("input_data_door_winter.csv",sep=";",index_col= 0)     #layers of door winter case
inputDoor_DataFrame_summer = pd.read_csv("input_data_door_summer.csv",sep=";",index_col= 0)     #layers of door summer case