Using the parameters in differential equation and convert into an array

I need an urgent help, there is a parameter which is used in the differential equation using odeint but while running the program it gives the result in this form
[3.9781147468878235e-07]
[3.978114566293721e-07]
[3.978114566293732e-07]
[3.978114385699638e-07]
[3.978114385699661e-07]
[3.9772752826022973e-07]
[3.9772752825921393e-07]
[3.976436327022632e-07]
[3.9764363270023663e-07]
[3.975597519134887e-07]
[3.9755975191145903e-07]
[3.967803957563199e-07]
[3.967803956800371e-07]
[3.969157328547086e-07]
[3.969157328031919e-07]
[3.9627259501862364e-07]
[3.9627259506351596e-07]
[3.95630346874153e-07]
[3.9563034686830913e-07]
[3.9498899627374144e-07]
[3.9498899626798617e-07]
[3.9370901950683014e-07]
[3.937090194798784e-07]
[3.924327267996166e-07]
[3.924327268156608e-07]
[3.9116017856934783e-07]
[3.9116017858553363e-07]
[3.8989143332455075e-07]
[3.898914333268123e-07]
[3.886265478202662e-07]
[3.886265478225091e-07]
[3.825216169025574e-07]
[3.8252161730583395e-07]
[3.765153170261968e-07]
[3.765153175903483e-07]
[3.706125635424506e-07]
[3.706125621824539e-07]
[3.6481744303763293e-07]
[3.6481744243884125e-07]
[3.5913329487781545e-07]
[3.5913329448230183e-07]
[3.5356276439356424e-07]
[3.535627640111652e-07]
[3.4306498365657534e-07]
[3.430649801057599e-07]
[3.330127340327062e-07]
[3.330127270270594e-07]
[3.2340830990710364e-07]
[3.2340831935157553e-07]
[3.142487583718173e-07]
[3.142487645389542e-07]
[3.0552691094534634e-07]
[3.055269130854581e-07]
[2.972324310178446e-07]
[2.972324328987815e-07]
[2.893526253371907e-07]
[2.893526269763174e-07]
[2.789857080226692e-07]
[2.7898571275279274e-07]
[2.693608591111459e-07]
[2.693608664393268e-07]
[2.604329820263632e-07]
[2.6043297277434004e-07]
[2.5215646023570007e-07]
[2.5215645178281667e-07]
[2.444864310691831e-07]
[2.4448642776855084e-07]
[2.3737952460984802e-07]
[2.3737952297084316e-07]
[2.3079436713005016e-07]
[2.3079436600849415e-07]
[2.2469189233902347e-07]
[2.2469189136446598e-07]
[2.1675377551100702e-07]
[2.1675377272177883e-07]
[2.0962559300770345e-07]
[2.096255834160249e-07]
[2.0321999668254984e-07]
[2.0321998936666024e-07]
[1.9745910720886717e-07]
[1.9745910207364424e-07]
[1.9227371765477192e-07]
[1.9227371444473138e-07]
[1.8760247313945583e-07]
[1.876024711762492e-07]
[1.83391043663551e-07]
[1.8339104236761058e-07]
[1.7959133881057254e-07]
[1.7959133806416996e-07]
[1.7434063492996288e-07]
[1.7434063248738718e-07]
[1.6986437125982695e-07]
[1.6986436164907127e-07]
[1.6604430135446286e-07]
[1.6604429564291197e-07]
[1.6278218325033112e-07]
[1.6278218225973718e-07]
[1.5999607049044268e-07]
[1.5999607162141243e-07]
[1.576173426634836e-07]
[1.5761734497073748e-07]
[1.5558831738007812e-07]
[1.555883195174398e-07]
[1.5386031552309796e-07]
[1.5386031757983086e-07]
[1.523921050563648e-07]
[1.5239210688202115e-07]
[1.511486359127842e-07]
[1.5114863742293563e-07]
[1.5010001331092176e-07]
[1.5010001459565824e-07]
[1.488567620904041e-07]
[1.4885676664237774e-07]
[1.479138598707743e-07]
[1.4791387803121908e-07]
[1.4721674979203476e-07]
[1.472167661388841e-07]
[1.4672140100059195e-07]
[1.4672141359839685e-07]
[1.463921540858473e-07]
[1.4639216406537566e-07]
[1.4620001732247464e-07]
[1.4620002366808194e-07]
[1.4612133204651164e-07]
[1.4612133768576438e-07]
[1.4613674698763881e-07]
[1.4613675106409493e-07]
[1.4628404745084808e-07]
[1.4628405771298774e-07]
[1.4654786123780307e-07]
[1.4654789657891352e-07]
[1.4690269931785964e-07]
[1.4690272533104862e-07]
[1.4732892503823597e-07]
[1.4732894491047039e-07]
[1.4781145400698215e-07]
[1.4781147086842694e-07]
[1.483386646351463e-07]
[1.483386719690905e-07]
[1.4890155490520674e-07]
[1.4890156442751846e-07]
[1.4949318971345693e-07]
[1.4949319550741394e-07]
[1.5022925928086162e-07]
[1.5022926589160072e-07]
[1.509916750546776e-07]
[1.5099169568426692e-07]
[1.517753421544262e-07]
[1.5177534464577188e-07]
[1.5257643248338546e-07]
[1.525764154292109e-07]
[1.5339210534154217e-07]
[1.533920926289665e-07]
[1.5422029769956243e-07]
[1.5422028535006378e-07]
[1.55059455316872e-07]
[1.5505944625767863e-07]
[1.561330006054114e-07]
[1.5613298996131265e-07]
[1.5722058013942317e-07]
[1.5722056087948272e-07]
[1.5832101429415848e-07]
[1.583210320950862e-07]
[1.594335973605199e-07]
[1.5943362467172946e-07]
[1.6055780954722976e-07]
[1.6055782355204657e-07]
[1.6169327300134554e-07]
[1.6169328713396146e-07]
[1.6320051031317212e-07]
[1.632005307682339e-07]
[1.647264814806338e-07]
[1.6472648680853364e-07]
[1.6627104220835178e-07]
[1.6627100768538067e-07]
[1.6783406478499277e-07]
[1.678340417872913e-07]
[1.6941558038319564e-07]
[1.6941557066558657e-07]
[1.7140476727741382e-07]
[1.714047530159313e-07]
[1.7342256292996608e-07]
[1.73422565528877e-07]
[1.754690819858373e-07]
[1.7546908975488055e-07]
[1.775444167865732e-07]
[1.7754441462290306e-07]
[1.8053796970451054e-07]
[1.805379526683601e-07]
[1.8358975003165003e-07]
[1.8358973701394234e-07]
[1.8669977707915966e-07]
[1.8669977851552692e-07]
[1.8986798141612288e-07]
[1.898679714007005e-07]
[1.9309408883565208e-07]
[1.9309408028040893e-07]
[1.9790265828752232e-07]
[1.9790266348882112e-07]
[2.0283166425812424e-07]
[2.028316421752317e-07]
[2.0787832300213562e-07]
[2.078782786960457e-07]
[2.1303889299394577e-07]
[2.1303888036952844e-07]
[2.1830872329741624e-07]
[2.1830871367429772e-07]
[2.261032605005059e-07]
[2.2610314595763027e-07]
[2.3409171936543533e-07]
[2.340916455577798e-07]
[2.4224676845443955e-07]
[2.422471026847495e-07]
[2.3753229873867762e-07]
[2.3753232800218684e-07]
[2.410007358735712e-07]
[2.410007145394337e-07]
[2.444943385201872e-07]
[2.444943284084593e-07]
[2.480104185331995e-07]
[2.4801043644955294e-07]
[2.515461490233653e-07]
[2.5154614702453637e-07]
[2.5521030826618675e-07]
[2.5521030627931834e-07]
[2.588885389325094e-07]
[2.588885449241628e-07]
[2.6257715030738677e-07]
[2.6257715286417166e-07]
[2.6627225854143304e-07]
[2.6627226119527366e-07]
[2.6996984152348874e-07]
[2.6996984649334767e-07]
[2.7393290804720994e-07]
[2.7393291408393313e-07]
[2.778887607829484e-07]
[2.778887687950817e-07]
[2.81831995208907e-07]
[2.8183200402839836e-07]
[2.8575710586480965e-07]
[2.8575711540348695e-07]
[2.8965852226674005e-07]
[2.896585327452249e-07]
[2.9483153948835147e-07]
[2.9483156465299814e-07]
[2.999387617854709e-07]
[2.9993876946525683e-07]
[3.049669969238866e-07]
[3.0496696651743677e-07]
[3.099033152302827e-07]
[3.099033227082251e-07]
[3.147354737290885e-07]
[3.1473548029395605e-07]
[3.194518077890472e-07]
[3.1945179122788257e-07]
[3.2257517580768746e-07]
[3.225751776980004e-07]
[3.2563728488326345e-07]
[3.256372837891905e-07]
[3.2863520563054417e-07]
[3.286352034001892e-07]
[3.3156625596595914e-07]
[3.315662572520077e-07]
[3.344280107466667e-07]
[3.3442800968308907e-07]
[3.372182814482331e-07]
[3.3721828064907934e-07]
[3.410420998806673e-07]
[3.4104209866847605e-07]
[3.4471436397283123e-07]
[3.4471435833069035e-07]
[3.4823162240561215e-07]
[3.482316164392633e-07]
[3.515915102980429e-07]
[3.5159150493087607e-07]
[3.547927164640099e-07]
[3.5479271025681123e-07]
[3.5783493878902007e-07]
[3.5783493338608135e-07]
[3.620546232195566e-07]
[3.620546050824416e-07]
[3.61243850779236e-07]
[3.6124384255898704e-07]
[3.6443203799018884e-07]
[3.644320350706019e-07]
[3.674038355470587e-07]
[3.6740384983372284e-07]
[3.7016502690175355e-07]
[3.7016502925892395e-07]
[3.7272252985880404e-07]
[3.72722530401886e-07]
[3.750842808452602e-07]
[3.750842897624831e-07]
[3.7725903249981944e-07]
[3.7725902883596784e-07]
[3.792560611594897e-07]
[3.792560639284721e-07]
[3.8108510094762223e-07]
[3.810851057484746e-07]
[3.827561072930157e-07]
[3.827561045607881e-07]
[3.842790925995002e-07]
[3.8427909599948426e-07]
[3.8566406226979296e-07]
[3.856640632829388e-07]
these parameters are obtained using the print command from the certain variable , but the problem is while using the pandas command to shift the variables it to the excel , it takes only the last value from the array shift to the excel sheet. Which command can shift all the values to the excel sheet

Give a minimal reproducible example of code so others can better understand!

import numpy as np
from scipy.integrate import odeint
import math
import System
from System import IO
import matplotlib.pyplot as plt
import pandas as pd
def dehyd(y,z):
kg=kg0exp(-Ea/RT))
r1=kgC1
dTdz= ((-delH
r1rhob)/(rho1us*CpDBT1)) #energy balance
data={‘Rate constant’:[kg]}
df1=pd1.DataFrame(data,columns=[‘Rate constant’])
df1.to_excel(excel_writer=“D:/Pythoncode1-D/overallkineticrate2.xlsx”)

#exporting kg values from excel
df = pd.read_excel (r"D:\Pythoncode1-D\overallkineticrate2.xlsx")
kg=df.iloc[0]
kg1=kg.iloc[0]