当我尝试绘制x和y时，Python说“ ValueError：x和y必须具有相同的第一维，但形状为（2，）和（1，）”。 我该怎么办？
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import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm 
from scipy.optimize import fmin 
def blscall(S,K,T,r,sigma):
    d1 = 1/sigma/np.sqrt(T)*(np.log(S/K) + (r+sigma**2/2)*T) 
    d2 = d1 - sigma*np.sqrt(T)
    return(S*norm.cdf(d1)-K*np.exp(-r*T)*norm.cdf(d2))
def blsput(S,sigma):
    d1 = 1/sigma/np.sqrt(T)*(np.log(S/K) + (r+sigma**2/2)*T) 
    d2 = d1 - sigma*np.sqrt(T)
    return(-S*norm.cdf(-d1)+K*np.exp(-r*T)*norm.cdf(-d2))
C = np.array([
[220.00,28.00,28.15,28.35,622,27.27    ],[225.00,23.70,23.85,24.00,386,26.26  ],[230.00,20.00,19.65,20.60,492,27.78  ],[235.00,16.10,16.00,2180,24.60  ],[240.00,12.62,12.60,12.75,2353,24.12  ],[245.00,9.65,9.50,9.70,2870,23.35  ],[250.00,7.05,6.95,7.15,2232,22.77  ],[255.00,4.96,4.80,5.45,905,23.29  ],[260.00,3.29,3.20,3.40,2090,21.61  ],[265.00,2.19,2.10,447,21.13  ],[270.00,1.32,1.34,1.82,323,22.83  ],[275.00,0.91,0.84,0.95,434,21.35    ]
])
P = np.array([
[220.00,1.89,1.64,1.96,514,28.21    ],2.54,2.50,2.58,352,26.93    ],3.47,3.35,3.50,764,26.03    ],4.65,4.60,4.70,736,25.16    ],6.28,6.15,6.25,1066,24.34    ],8.20,8.15,8.40,615,24.10    ],11.00,10.65,10.75,223,23.26    ],13.50,13.55,13.80,441,23.11    ],17.49,16.20,17.25,104,22.94    ],20.95,20.80,2,22.38    ],26.85,23.80,27.30,1085,30.48    ],39.95,29.60,29.90,1,24.20    ],])
def targ(x):
    s = 0
    for i in range(0,C.shape[0]): 
        s = s + ( blscall(246.58,C[i,0],56,x[1])-0.5*(C[i,2]+C[i,3]) )**2 
    for i in range(0,P.shape[0]): 
        s = s + ( blsput(246.58,x[1])-0.5*(P[i,2]+P[i,3]) )**2 
        return(s)
xopt = fmin(targ,[0.0001,0.01])
print(xopt[0],xopt[1]) 
#s as a function of sigma
N = 2
sigma = np.linspace(0.0,0.01,N)
plt.figure(3)   
#s= sigma.shape what should i do????
plt.plot(sigma,targ)
plt.xlabel('sigma')
plt.ylabel('s')
plt.legend(('call','put'))
plt.show()