Adding assignment 9- Mosconi

Assignment 7 Pandas B DeadLine Nov 8th 2017/Assignment7_Veri/Assignment7_Veri.py

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+import os
+import pandas as pd
+import numpy as np
+os.chdir("C:/Users/ale_v/Documents/Polimi/git_fork_clone2/AnotherClone/Scientific_Python_Assignments_POLIMI_EETBS/Assignment 7 Pandas B DeadLine Nov 8th 2017/__Guidelines__")
+latitude_loc=45
+beamIrr_DF = pd.read_csv("beamIrradiance.csv" , sep=";", index_col=0)
+diffuseIrr_DF = pd.read_csv("diffuseIrradiance.csv" , sep=";", index_col=0)
+beamIrr_DF["45"]["E"]
+diffuseIrr_DF["45"]["E"]
+PXI_45_E = beamIrr_DF["45"]["E"]+diffuseIrr_DF["45"]["E"]
+windows_DF = pd.read_csv("windows.csv", sep=";", index_col=0)
+windows_DF["PXI"] = np.array([PXI_45_E,0,0,0])
+windows_DF.to_csv("windows_completed_withPXI.csv" , sep=";")

Assignment 7 Pandas B DeadLine Nov 8th 2017/__Guidelines__/windows_completed_withPXI.csv

@@ -1,5 +1,12 @@
 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
+<<<<<<< HEAD
+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
+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;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;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;0;0;0;0;0
+=======
 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;748.0;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;0.0;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;0.0;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;0.0;0;0;0;0
+>>>>>>> e6c3439b3e8e67251c7895875b304c4f164ff375

Assignment 8 Pandas C Deadline Nov 28th 2017/Assignment8_Veri/Assignment8_Veri.py

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+import os
+import numpy as np
+import pandas as pd
+
+import scipy as sp
+
+os.chdir("C:/Users/ale_v/Documents/Polimi/Behzad/MyNewPandas")
+
+def PXI_window(direction,latitude):
+    DF_beamIrr=pd.read_csv("BeamIrradiance.csv",sep=";",index_col=0)
+    DF_diffIrr=pd.read_csv("DiffuseIrradiance.csv",sep=";",index_col=0)
+    name_of_columns_D=DF_beamIrr.columns.get_values()
+    name_of_columns_as_numbers_D = name_of_columns_D.astype(np.int32, copy=False)
+    ED=sp.interp(latitude,name_of_columns_as_numbers_D,DF_beamIrr.loc[direction])
+    name_of_columns_d=DF_diffIrr.columns.get_values()
+    name_of_columns_as_numbers_d = name_of_columns_d.astype(np.int32, copy=False)
+    Ed=sp.interp(latitude,name_of_columns_as_numbers_d,DF_diffIrr.loc[direction])
+    PXI_value=ED+Ed
+    return PXI_value
+myResult=PXI_window("S",42) #example
+
+windows_DataFrame = pd.read_csv("windows.csv", sep=";",index_col=0)
+
+windows_DataFrame.index.tolist()
+
+
+exI_PXI_values=[]
+latitude=45
+for index in windows_DataFrame.index.tolist():
+    print index
+    print "PXI value for this direction is: "+str(PXI_window(windows_DataFrame["Direction"][index],latitude))
+    exI_PXI_values = np.append(exI_PXI_values,PXI_window(windows_DataFrame["Direction"][index],latitude))
+print "The PXI values updated list is: "+str(exI_PXI_values)
+windows_DataFrame["PXI"] = exI_PXI_values
+
+windows_DataFrame.to_csv("windows_completed_withPXI.csv" , sep=";")
+
+
+

Assignment 9 Matplotlib Deadline Dec 5th/Assignment _Mosconi/Assignment9-Mosconi.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+plt.close("all")
+
+
+HeatingOpaqueLoadValues = [1149.2,1240,92.5]
+CoolingOpaqueLoadValues = [547.5,541.6,43]
+labels=['wall','roof','door']
+plt.pie(HeatingOpaqueLoadValues,labels=labels,startangle=90,explode=(0.1,0,0), autopct='%1.1f%%')
+plt.figure(2)
+plt.pie(CoolingOpaqueLoadValues,labels=labels,startangle=90,explode=(0.1,0,0), autopct='%1.1f%%')
+
+import numpy as np
+UH_series=np.arange(0.0, 1.0, 0.05)
+UH=pd.Series(UH_series)
+
+def function(x):
+    y=(1149.2*x*0.438+1240+92.5)
+    return y
+
+y_series=UH.apply(function) #in this way u can do functions without vectorize ur array
+plt.figure(3)
+plt.plot(UH,y_series)
+plt.show()
+plt.xlabel("U value")
+plt.ylabel("Wall heating value")
+plt.title("Heating value wrt U value")

Assignment 9 Matplotlib Deadline Dec 5th/__Guidelines__/Assignment9_Guidelines.py

@@ -0,0 +1,59 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+
+x=range(-10,11)
+x_series = pd.Series(x)
+
+def ourFunction(x):
+    y=x**2-5
+    return y
+
+y_series = x_series.apply(ourFunction)
+
+
+x1=[1,3,5,8]
+y1=[12,18,28,39]
+
+plt.plot(x1,y1)
+plt.show()
+plt.xlabel(" This is the name of my x axis")
+plt.ylabel(" This is the name of my y axis")
+plt.title(" This is just a random useless plot!")
+
+x2=[2,4,7,8]
+y2=[10,21,25,42]
+plt.plot(x2,y2, hold=False)
+
+plt.close("all")
+plt.plot(x_series,y_series)
+
+fig1 = plt.figure()
+plt.close(fig1)
+plt.figure(1)
+
+plt.figure()
+# How to plot scatter plots !!
+x4=[3,4,5,8,12]
+y4=[45,58,87,95,115]
+x5=[4,5,9,10,11]
+y5=[23,29,65,82,80]
+plt.scatter(x4,y4,label="The first one",color="b",marker="*",s=50)
+plt.scatter(x5,y5,label="The second one",color="r",marker="o",s=50)
+plt.legend()
+plt.close("all")
+
+items = [1,2,3]
+labels = ["wall","roof","door"]
+HeatingLoadValues = [2500,1800,150]
+cols=["r","b","g"]
+
+plt.bar(items,HeatingLoadValues,color="g")
+plt.xticks(items,labels,color="r")
+
+# How to plot a pie chart !
+plt.close("all")
+plt.figure()
+plt.pie(HeatingLoadValues,labels=labels,colors=cols,startangle=90,explode=(0.1,0,0), autopct='%1.1f%%'))
+
+
+