拟合
import scipy as spy
from scipy.optimize import curve_fit
def func_log(x,y0,A,x0,width):
return y0+A*np.exp(-(np.log(x/x0)/width)**2)
popt, pcov = curve_fit(func_log, x, y,bounds=([-1000.,0.,0.,0], [1000., 2000.,500,5]))
yvals = func_log(x,*popt) #拟合y值
官方链接：
https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.curve_fit.html
scipy.optimize.curve_fit(f, xdata, ydata, p0=None, sigma=None, absolute_sigma=False, check_finite=True, bounds=(-inf, inf), method=None, jac=None, **kwargs)[source]¶
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