Пример #1
0
 def test_curveFitdemo(self):
     real = lambda p, x: p[0] * scipy.exp(-((x-p[1])/p[2])**2) + scipy.rand(100)
     functionToFit = lambda p, x: p[0] * scipy.exp(-((x-p[1])/p[2])**2)
     initialParameters = [5., 7., 3.]
     dataX = scipy.linspace(0, 10, 100)
     dataY = real(initialParameters, dataX)
     cf = CurveFit(functionToFit, initialParameters, dataX, dataY)
     cf.estimate()
     cf.plot()
Пример #2
0
 def test_curveFitdemo(self):
     real = lambda p, x: p[0] * scipy.exp(-(
         (x - p[1]) / p[2])**2) + scipy.rand(100)
     functionToFit = lambda p, x: p[0] * scipy.exp(-((x - p[1]) / p[2])**2)
     initialParameters = [5., 7., 3.]
     dataX = scipy.linspace(0, 10, 100)
     dataY = real(initialParameters, dataX)
     cf = CurveFit(functionToFit, initialParameters, dataX, dataY)
     cf.estimate()
     cf.plot()