Basic   Factor  Target
123 234
342 345
235 453
123 345
56  456
345 457
234 23
123 45
345 56
54  567
234 5

import pandas as pd
from scipy.optimize import minimize, optimize
import numpy as np

path='/scipytest.csv'

dffunc=pd.read_csv(path,  decimal=',', delimiter=';')

BaseSum=np.sum(dffunc['Basic'])
FacSum=np.sum(dffunc['Factor'])

def f(x, FacSum):
    return BaseSum-FacSum*x


con = {'type': 'ineq',
       'fun': lambda BaseSum,FacSum: BaseSum-FacSum,
       'args': (FacSum,)}

x=0

result = minimize(f,(x,FacSum), args=(FacSum,), method='SLSQP', constraints=con)

print(result.x)
print(f(result.x))

 raise ValueError("Objective function must return a scalar")