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adding assignment 6 - Jude Dontoh
JDontoh Oct 30, 2017
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adding assignment 8 - Jude Dontoh
JDontoh Nov 28, 2017
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Merge https://github.com/bnajafi/Scientific_Python_Assignments_POLIMI…
JDontoh Nov 28, 2017
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adding assignment 8 - Jude Dontoh
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trying to delete a folder
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47 changes: 47 additions & 0 deletions Assignment 6-Pandas A-Deadline Oct 31 2017/Assignmnet6_Dontoh/assignment6_step1_Dontoh.py
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#Using pandas for resistance calculations
import pandas as pd

A_wall = 15 #area of wall [m^2]
A_unit = 0.25 #unit area ((H_brick+T_p2*2)*W_wall)
T_1 = 20 #indoor temperature
T_2 = -10 #outdoor temperature

columns_names = ["type","h","L","k","RValue"]

#For layers in series
RSeries_names=["R_outside","R_foam","R_plaster1","R_plaster2","R_inside"]
R1_list = ["conv",10,None,None,0]
R2_list = ["cond",None,0.03,0.026,0]
R3_list = ["cond",None,0.02,0.22,0]
R4_list = ["cond",None,0.02,0.22,0]
R5_list = ["conv",25,None,None, 0]

Resistances_Series = pd.DataFrame([R1_list,R2_list,R3_list,R4_list,R5_list], index = RSeries_names, columns=columns_names)
#Resistances_Series["RValue"][Resistances_Series["type"]=="conv"] = 1.0/Resistances_Series["h"][Resistances_Series["type"]=="conv"] # Calc R values of conv R=1/h
#Resistances_Series["RValue"][Resistances_Series["type"]=="cond"] = Resistances_Series["L"][Resistances_Series["type"]=="cond"] /Resistances_Series["k"][Resistances_Series["type"]=="cond"] # Calc R values of conv R=L/k
R_conv = 1.0/Resistances_Series["h"][Resistances_Series["type"]=="conv"]
R_cond = Resistances_Series["L"][Resistances_Series["type"]=="cond"] /Resistances_Series["k"][Resistances_Series["type"]=="cond"]
Rtot = sum(R_conv)+sum(R_cond)
Rtot_Series = Rtot/A_unit #Total resistance for series layers

#For Layers in Parallel:
RParallel_names=["R_plaster","R_brick","R_plaster"]
R6_list = ["cond",0.015,0.16,0.22,0]
R7_list = ["cond",0.22,0.16,0.72,0]
R8_list = ["cond",0.015,0.16,0.22,0]

Resistances_Parallel = pd.DataFrame([R6_list,R7_list,R8_list], index = RParallel_names, columns=columns_names)
RValues_parallel=1/(Resistances_Parallel["L"][Resistances_Parallel["type"]=="cond"] /(Resistances_Parallel["k"]
[Resistances_Parallel["type"]=="cond"]*Resistances_Parallel["h"][Resistances_Parallel["type"]=="cond"]))
Rtot_parallel = 1/sum(RValues_parallel) #Total resistance for parallel layers

#Total resistance
R_tot = round(Rtot_Series+Rtot_parallel,4)

# Heat transfer
Q_unit = (T_1 - T_2) / R_tot #total heat transfer through the wall per unit width [W]
Q_wall = round(Q_unit * (A_wall/A_unit),4) #total heat transfer through the wall [W]

print 'The total thermal resistance is '+str(R_tot)+ ' degC/W'
print 'The rate of heat transfer through the wall is '+str(Q_wall)+ ' W'
print '*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*'
56 changes: 56 additions & 0 deletions Assignment 8 Pandas C Deadline Nov 28th 2017/Assignment 8_Dontoh/Assignment 8_Dontoh.py
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import os
import numpy as np
import pandas as pd
import scipy as sp

os.chdir("C:\Users\jude\Desktop\judes script code\Git\Scientific_Python_Assignments_POLIMI_EETBS\Assignment 8_Dontoh")

Windows_DF= pd.read_csv("windows.csv",sep=";",index_col=0)

BeamIrradiance_ED = pd.read_csv("BeamIrradiance.csv",sep=";",index_col=0)
DiffuseIrradiance_Ed = pd.read_csv("DiffuseIrradiance.csv",sep=";",index_col=0)

exposure = raw_input('please enter the exposure ')
latitude = float(raw_input('please enter the latitude of the location '))


if latitude == BeamIrradiance_ED.columns.tolist():
def PXI_calculator(exposure,latitude):
BeamIrradiance_ED = pd.read_csv("BeamIrradiance.csv",sep=";",index_col=0)
result_BeamIrradiance_ED= BeamIrradiance_ED[latitude][exposure]

DiffuseIrradiance_Ed = pd.read_csv("DiffuseIrradiance.csv",sep=";",index_col=0)
result_DiffuseIrradiance_Ed= DiffuseIrradiance_Ed[latitude][exposure]
PXI= result_BeamIrradiance_ED+result_DiffuseIrradiance_Ed
return PXI


if latitude != BeamIrradiance_ED.columns.tolist():


name_of_columns=BeamIrradiance_ED.columns.get_values()
name_of_columns_as_numbers = name_of_columns.astype(np.int32, copy=False)
ED = sp.interp(latitude,name_of_columns_as_numbers,BeamIrradiance_ED.loc[exposure])

name_of_columns=DiffuseIrradiance_Ed.columns.get_values()
name_of_columns_as_numbers = name_of_columns.astype(np.int32, copy=False)
Ed = sp.interp(latitude,name_of_columns_as_numbers,DiffuseIrradiance_Ed.loc[exposure])
PXI= ED+Ed
print "PXI value is " +str(PXI)

#Calculation for PXI for RLF example 1 - Piacenza

latitude_location= "45"

PXI_values=[]
for index in Windows_DF.index.tolist():
print index
print Windows_DF["Direction"][index]
PXI_values = np.append(PXI_values,PXI_calculator(Windows_DF["Direction"][index],latitude_location))
print PXI_values

Windows_DF["PXI"] = PXI_values
Windows_DF.to_csv("windows_completed_withPXI.csv",sep=";")
Windows_DF.to_html("Window_Completed_withPXI.html")


186 changes: 186 additions & 0 deletions ...nment 8 Pandas C Deadline Nov 28th 2017/Assignment 8_Dontoh/Window_Completed_withPXI.html
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<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Direction</th>
<th>width</th>
<th>Height</th>
<th>Area</th>
<th>Window_ID</th>
<th>Frame_type</th>
<th>Frame_material</th>
<th>U</th>
<th>SHGC</th>
<th>HF</th>
<th>Q heating</th>
<th>SLF</th>
<th>Doh</th>
<th>Xoh</th>
<th>Fshd</th>
<th>IntShading_ID</th>
<th>IntShading_closeness</th>
<th>IAC_cl</th>
<th>IAC</th>
<th>Tx</th>
<th>Ed</th>
<th>ED</th>
<th>PXI</th>
<th>FFs</th>
<th>C_value</th>
<th>CF</th>
<th>Qcooling</th>
</tr>
<tr>
<th>Name</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<th>east</th>
<td>E</td>
<td>8</td>
<td>1.8</td>
<td>0</td>
<td>5c</td>
<td>Fixed</td>
<td>Wood</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0.9</td>
<td>0.3</td>
<td>0</td>
<td>DrapesLightOpen</td>
<td>0.4</td>
<td>0</td>
<td>0</td>
<td>1.00</td>
<td>0</td>
<td>0</td>
<td>747.0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>west</th>
<td>W</td>
<td>8</td>
<td>1.8</td>
<td>0</td>
<td>5c</td>
<td>Fixed</td>
<td>Wood</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0.9</td>
<td>0.3</td>
<td>0</td>
<td>DrapesLightOpen</td>
<td>0.4</td>
<td>0</td>
<td>0</td>
<td>1.00</td>
<td>0</td>
<td>0</td>
<td>747.0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>south-Fixed</th>
<td>S</td>
<td>2</td>
<td>1.8</td>
<td>0</td>
<td>5c</td>
<td>Fixed</td>
<td>Wood</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0.9</td>
<td>0.3</td>
<td>0</td>
<td>DrapesLightOpen</td>
<td>0.4</td>
<td>0</td>
<td>0</td>
<td>1.00</td>
<td>0</td>
<td>0</td>
<td>557.0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>south-Operable</th>
<td>S</td>
<td>2</td>
<td>1.8</td>
<td>0</td>
<td>5c</td>
<td>Operable</td>
<td>Wood</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0.9</td>
<td>0.3</td>
<td>0</td>
<td>DrapesLightOpen</td>
<td>0.4</td>
<td>0</td>
<td>0</td>
<td>0.64</td>
<td>0</td>
<td>0</td>
<td>557.0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
</tbody>
</table>
5 changes: 5 additions & 0 deletions ...nment 8 Pandas C Deadline Nov 28th 2017/Assignment 8_Dontoh/windows_completed_withPXI.csv
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Name;Direction;width;Height;Area;Window_ID;Frame_type;Frame_material;U;SHGC;HF;Q heating;SLF;Doh;Xoh;Fshd;IntShading_ID;IntShading_closeness;IAC_cl;IAC;Tx;Ed;ED;PXI;FFs;C_value;CF;Qcooling
east;E;8;1.8;0;5c;Fixed;Wood;0;0;0;0;0;0.9;0.3;0;DrapesLightOpen;0.4;0;0;1.0;0;0;747.0;0;0;0;0
west;W;8;1.8;0;5c;Fixed;Wood;0;0;0;0;0;0.9;0.3;0;DrapesLightOpen;0.4;0;0;1.0;0;0;747.0;0;0;0;0
south-Fixed;S;2;1.8;0;5c;Fixed;Wood;0;0;0;0;0;0.9;0.3;0;DrapesLightOpen;0.4;0;0;1.0;0;0;557.0;0;0;0;0
south-Operable;S;2;1.8;0;5c;Operable;Wood;0;0;0;0;0;0.9;0.3;0;DrapesLightOpen;0.4;0;0;0.64;0;0;557.0;0;0;0;0