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from scipy.optimize import curve_fit
import numpy
import matplotlib.pyplot as pyplot
data_x = numpy.array([ 10, 13, 17, 21, 24, 31, 36, 41 ])
data_y = numpy.array([ 1017, 898, 810, 715, 620, 547, 510, 500 ])
def func(x, a, b, c):
return a * numpy.exp(-b*x)-c
popt, pcov = curve_fit(func, data_x, data_y, maxfev=5000)
trial_x = numpy.linspace(0, 50, 200)
trial_y = func(trial_x, *popt)
print popt
pyplot.figure()
pyplot.plot(data_x, data_y, 'ro', label='Data')
pyplot.plot(trial_x, trial_y, 'b-', label="Exp Fit")
pyplot.legend()
pyplot.show()
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