我有一个函数，我试图在其中计算定积分。然而，这个函数的一部分使用了Map函数，我得到了TypeError: only size-1 arrays can be converted to Python scalars
下面是我的函数：

from scipy import integrate
import numpy as np
def func(a, b, c, d): #a is an array of 4000 elements, b is an array of ten elements, c&d are integers
    n = len(a)
    aver = a.mean()
    stdevn = a.std()
    final = []
    def fn(a=a, b=b, c=c, d=d):
        return ((1/n)*sum(map(lambda y: ((1/c) * np.exp(-0.5*((x - y - 0.2*((b-aver)/stdevn)*y)/bandwidth)**2)), a)))

    for i in b:
        total = integrate.quad(fn, a=0, b=100)
        final.append(total)
    return final

结果应该是一个长度为b（10）的数组。我不确定代码中哪里有错误。x在函数中，因为它是积分的一部分
追溯：

---> 10         total = integrate.quad(fn, a=0, b=100)                             
     11 
     12         final.append(total)

/opt/conda/lib/python3.7/site-packages/scipy/integrate/quadpack.py in quad(func, a, b, args, full_output, epsabs, epsrel, limit, points, weight, wvar, wopts, maxp1, limlst)
    350     if weight is None:
    351         retval = _quad(func, a, b, args, full_output, epsabs, epsrel, limit,
--> 352                        points)
    353     else:
    354         if points is not None:

/opt/conda/lib/python3.7/site-packages/scipy/integrate/quadpack.py in _quad(func, a, b, args, full_output, epsabs, epsrel, limit, points)
    461     if points is None:
    462         if infbounds == 0:
--> 463             return _quadpack._qagse(func,a,b,args,full_output,epsabs,epsrel,limit)
    464         else:
    465             return _quadpack._qagie(func,bound,infbounds,args,full_output,epsabs,epsrel,limit)

TypeError: only size-1 arrays can be converted to Python scalars