scipy curve_fit error: Result from function call is not a proper array of floats

Question

I have an [x,y] dataset and I would like to fit a function to it. This are x and y

parang = np.array([  61.1725  ,   62.140625,   62.93275 ,   63.701625,   6         


        

Answer 1

Since stndqu is the result of a call to sympy.solve, it is a symbolic object still. The numbers that you see when printing qval from within your function are probably sympy floats (and thus generic objects to numpy). You should convert stndqu into a numpy array before using it with scipy.curve_fit:

stndqun = numpy.array([sympy.N(i) for i in stndqu])