使用scipy.optimize.curve_fit传递其他参数？

使用scipy.optimize.curve_fit传递其他参数？

关于python的妙处在于，您可以定义返回其他函数的函数，请尝试currying：

def make_mix(numg):     def mix(x, *p):         ng = numg        p1 = p[:3*ng]        p2 = p[3*ng:]        a = sumarray(gaussian(x,p1),lorentzian(x,p2))        return a    return mix

接着

leastsq, covar = opt.curve_fit(make_mix(numg),energy,intensity,inputtot)