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()
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()