TypeError: only length-1 arrays can be converted to Python scalars while trying to exponentially fit data

Question

f=np.loadtxt('Single Small Angle 1.txt',unpack=True,skiprows=2) g=np.loadtxt('Single Small Angle 5.txt',unpack=True,skiprows=2)  x = f-g[:,:11944] t=range(len(x)) m=math.log10(abs(x))  np.polyfit(t,m)  plt.plot(t,abs(x)) plt.show() 

I'm just not sure on how to fix my issue. It keeps saying:

m=math.log10(abs(x)) TypeError: only length-1 arrays can be converted to Python scalars 

Answer 1

Non-numpy functions like math.abs() or math.log10() don't play nicely with numpy arrays. Just replace the line raising an error with:

m = np.log10(np.abs(x)) 

Apart from that the np.polyfit() call will not work because it is missing a parameter (and you are not assigning the result for further use anyway).