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 sklearn regression to excel
#I'm using the following to generate linear model coefficients
#I'm only showing some of the code here
#They print out OK in the DOS window

import numpy as np
from sklearn.preprocessing import PolynomialFeatures
from sklearn import linear_model
clf  = linear_model.LinearRegression()
print("Coefficients: ", clf.coef_)
#But how can I write the coefficients out to Excel using xlsxwriter...

import xlsxwriter
workbook = xlsxwriter.Workbook('Test.xlsx')
worksheet = workbook.add_worksheet('MySheet')

#code goes here

#I'm not sure how to do this and been trying for hours
# Trying worksheet.write (row, col, clf.coef_) just throws an error
# Think it might have something to do with it being an array.

I'm a real newbie here so hopelessly lost.
Any help greatly appreciated even if just a suggestion. Thanks
I figured it out, can just refer to clf.coef_ array elements like this

worksheet.write (row, col, clf.coef[0])
worksheet.write (row, col, clf.coef[1])
worksheet.write (row, col, clf.coef[2])

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