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Alex Rivera
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I need to fit function to array of data and get optimal coefficients of an equation of this function. I use curve_fit method from scipy library. It is based on least squares method. import numpy as np from scipy.optimize import curve_fit #This is my function from which i need to get optimal coefficients 'a' and 'b' def func(x, a, b): return a*x**(b*x) #the arrays of input data x = [1,2,3,4,5] y =[6,7,8,9,10] #default (guess) coefficients p0 = [1, 1] popt, pcov = curve_fit(func, x, y, p0) print popt It returns the following error TypeError: unsupported operand type(s) for ** or pow(): 'list' and 'list' But when I use the other, more simple function with no power operation it works def func(x, a, b): return a*x + b It must be trying to bulid number to a power of an entire array of input data What to do? Help please...
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