scipy curve_fit以指數擬合失敗

Question

當我嘗試使用curve_fit進行指數擬合時，scipy返回一個錯誤。難道我做錯了什麼？從np.exp（-b * t）中刪除負號可以使curve_fit正常工作，但是它返回的值是關閉的。

#!/usr/bin/python                 

import numpy as np                 
import scipy as sp 
from scipy.optimize import curve_fit                                                  
import scipy.optimize as opt               
import matplotlib.pyplot as plt              

x = [40,45,50,55,60]                 
y = [0.99358851674641158, 0.79779904306220106, 0.60200956937799055, 0.49521531100478472, 0.38842105263157894] 

def model_func(t, a, b, c):               
    return a * np.exp(-b * t) + c             

opt_parms, parm_cov = sp.optimize.curve_fit(model_func, x, y, maxfev=1000)   
a,b,c = opt_parms                 
print a,b,c                   
print x                    
print y                    
print model_func(x, a,b,c)   

失敗，錯誤：

Traceback (most recent call last): 
     File "asdf.py", line 18, in <module> 
     opt_parms, parm_cov = sp.optimize.curve_fit(model_func, x, y, maxfev=1000) 
     File "/usr/lib/python2.7/dist-packages/scipy/optimize/minpack.py", line 426, in curve_fit 
     res = leastsq(func, p0, args=args, full_output=1, **kw) 
     File "/usr/lib/python2.7/dist-packages/scipy/optimize/minpack.py", line 276, in leastsq 
     m = _check_func('leastsq', 'func', func, x0, args, n)[0] 
     File "/usr/lib/python2.7/dist-packages/scipy/optimize/minpack.py", line 13, in _check_func 
     res = atleast_1d(thefunc(*((x0[:numinputs],) + args))) 
     File "/usr/lib/python2.7/dist-packages/scipy/optimize/minpack.py", line 346, in _general_function 
     return function(xdata, *params) - ydata 
    ValueError: operands could not be broadcast together with shapes (0) (5) 

Answer 1

變化x和y到numpy的陣列

x = np.array([40,45,50,55,60]) 
y = np.array([0.99358851674641158, 0.79779904306220106, 0.60200956937799055, 0.49521531100478472, 0.38842105263157894]) 

那麼我認爲你是很好的，因爲功能需要量化計算的，而列表不是充足。