I want to use power law to fit on my data points because I have to calculate the value of v. But the error on my fitting parameters is too large, although curve seems to pass all data points. How to reduce is error?
`import numpy as np
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import math
import scipy
from scipy import optimize
x_data= np.array([30, 45, 60, 75])
y_data= np.array([0.42597867, 0.26249343, 0.19167837, 0.08116507])
fig = plt.figure()
ax= fig.add_subplot(111)
def ff(L,v,c):
return (L**(-1/v)+c)
ax2.scatter(x_data, y_data, marker='s',s=4**2,)
pfit,pcov = optimize.curve_fit(ff,x_data,y_data)
print("pfit: ",pfit)
print("pcov: ",pcov.shape)
#print(pcov)
perr = np.sqrt(np.diag(pcov))
x=np.linspace(20,85,1000)
ax2.plot(x,ff(x,*pfit),color='red')`
