Esempio n. 1
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 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()
Esempio n. 2
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 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()