Seminar_Finance

#Matrix NxN import pandas as pd import numpy as np nxn = pd.read_csv('input_1/nxn.csv', delimiter=';') nxn = nxn.apply(lambda x: x.str.replace(',','.')) nxn = nxn.to_numpy() nxn = nxn.astype(np.float) nxn

#Matrix NxH nxh = pd.read_csv('input_1/nxh.csv', delimiter=';') nxh = nxh.apply(lambda x: x.str.replace(',','.')) nxh = nxh.to_numpy() nxh = nxh.astype(np.float) nxh

#Vector Xh from numpy import array Vector = array ([500,300,300]) Xh = np.array([500,300,300]) array([500,300,300]) Xh.shape = (3,1) Xh.astype(np.float) Xh print(Xh)

[[500]
 [300]
 [300]]

#Vector V V = np.random.normal(100, 0, 192) V.shape = (192,1) print(V)

[[100.]
 [100.]
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#Vector e # numpy.random.normal() method e = np.random.normal(0.0, 5.0, 192) e.shape = (192,1) print(e)

[[  0.92233265]
 [  6.19005894]
 [ -0.53684705]
 [ -3.61519366]
 [ -1.76831292]
 [ -5.09020643]
 [  2.32490121]
 [  0.58813494]
 [ -0.11502386]
 [ -0.69583286]
 [ -2.15607111]
 [  4.10885122]
 [  3.64321737]
 [  2.6134734 ]
 [ -2.37074646]
 [ -0.41226942]
 [ -5.68862558]
 [  5.56337973]
 [ -0.7878586 ]
 [ -6.30745769]
 [ -2.16878904]
 [ -2.7394887 ]
 [ -0.54353222]
 [  0.92122184]
 [  0.32405908]
 [ -1.06691147]
 [  0.3997131 ]
 [  6.79402506]
 [ -3.6694195 ]
 [ -2.93975497]
 [ -6.91842861]
 [ -3.80929695]
 [ 10.22898416]
 [ -1.67180006]
 [ -0.04411992]
 [ -0.71822028]
 [ -4.11057183]
 [  5.7753984 ]
 [ -6.10477949]
 [  1.44803162]
 [ -3.36268372]
 [ -5.2749176 ]
 [  7.01517528]
 [  8.77837209]
 [  0.3029477 ]
 [  0.87647741]
 [  6.49749353]
 [ -4.26331568]
 [ -6.87492205]
 [  4.03092661]
 [  1.37935682]
 [  5.65098944]
 [  9.06030352]
 [  6.30345378]
 [  3.7218809 ]
 [  5.08049606]
 [  6.2490336 ]
 [  3.63727266]
 [  3.20077086]
 [ -0.35386787]
 [ -8.32326874]
 [  9.89756562]
 [ -1.93383758]
 [ -2.50429076]
 [ -0.11634346]
 [-11.00468311]
 [  1.4627951 ]
 [ -2.82567606]
 [  3.30465892]
 [ -2.91285096]
 [  3.50752199]
 [  5.62801781]
 [ -6.22867738]
 [ -0.96735659]
 [  4.62463985]
 [ -5.84448837]
 [  0.06206827]
 [ -4.98767675]
 [  2.27658167]
 [ -2.48641844]
 [  1.79506492]
 [ -1.86795531]
 [  0.92349765]
 [  8.54218186]
 [  6.63244101]
 [ 11.72210899]
 [ -4.7468657 ]
 [-11.52033825]
 [ -1.14974793]
 [  2.69023094]
 [ -1.10539475]
 [  2.90118414]
 [  4.19913894]
 [ -4.47747986]
 [  1.8162005 ]
 [  7.37696706]
 [ -1.17692118]
 [ -2.64813237]
 [  5.42880506]
 [  7.62970367]
 [  4.48886349]
 [  5.48166433]
 [  1.79268525]
 [ -0.1296072 ]
 [ -9.91592251]
 [ -0.69597037]
 [ -2.08323406]
 [  4.65573575]
 [ -4.68367747]
 [  1.40790089]
 [ -6.66533999]
 [  2.92208669]
 [  2.33261117]
 [ -1.97266576]
 [  4.08560823]
 [  4.14704954]
 [ -4.91184355]
 [  1.33556949]
 [  2.34853951]
 [ -0.62042722]
 [ -5.71449518]
 [ -7.46368027]
 [  3.72197995]
 [ -2.32388835]
 [ -6.21787651]
 [  4.83208881]
 [ -0.80341028]
 [ -1.75876604]
 [ -0.52487226]
 [  4.91018588]
 [  6.5050186 ]
 [  3.57519991]
 [ -1.49160382]
 [ -5.3679394 ]
 [ -6.12677012]
 [  4.43185098]
 [  0.0908944 ]
 [ -8.78733451]
 [ -4.10619677]
 [  1.58913989]
 [ -2.03195853]
 [ -0.86984649]
 [ -4.70381644]
 [ -1.10553134]
 [  4.1693267 ]
 [ -0.81855585]
 [  4.15751822]
 [ -4.05596215]
 [  5.95013729]
 [ -3.55134968]
 [  1.12451524]
 [ -3.04454711]
 [  5.98585467]
 [-10.86119574]
 [  2.24696606]
 [ -1.41527226]
 [ -5.42199358]
 [ -1.25845631]
 [  0.23176227]
 [  8.68832795]
 [ -0.10668603]
 [ -2.49798946]
 [ -3.2197055 ]
 [ 10.81201539]
 [  2.90776048]
 [ -0.55829852]
 [  5.3270399 ]
 [  2.02151745]
 [ -2.66493746]
 [ -1.96902961]
 [  5.38140246]
 [ -2.09249688]
 [  5.20553692]
 [  3.59270223]
 [  0.83470806]
 [ -9.23544184]
 [ -0.08443393]
 [ -0.18777369]
 [-11.43454701]
 [ -1.86470626]
 [ -3.29921317]
 [  4.84490616]
 [ -8.41107303]
 [ -5.04910489]
 [ -4.14544393]
 [  4.83503115]
 [ 10.27572352]
 [ -1.60887228]
 [  3.86791607]
 [  4.13394682]
 [  5.6508141 ]
 [ -0.68179283]]

#Xn1 = nxn * ( V + e ) + nxh * Xh Xn1 = np.dot(nxn, (V+e)) + np.dot(nxh,Xh) pd.DataFrame(Xn1).to_csv("output_1/Xn1.csv",index=False, header=False)

Xn1