问curve fit 返回值为nan和inf？

[nan nan nan nan nan nan]
[[inf inf inf inf inf inf]
 [inf inf inf inf inf inf]
 [inf inf inf inf inf inf]
 [inf inf inf inf inf inf]
 [inf inf inf inf inf inf]
 [inf inf inf inf inf inf]]

# 定义拟合函数
def myfun(X, k1, a1, b1, c1, c2, c3):
    f, Bm, T = X[0], X[1], X[2]#f为频率 Bm为磁通密度 T为温度
    F = k1 * f**a1 * Bm**b1 * (c1 + c2 * T**1 + c3 * T**2)
    return F

X1 = np.array(X_data.iloc[:, 0:1])
X1 = X1.flatten()
X2 = np.array(X_data.iloc[:, 1:2])
X2 = X2.flatten()
X3 = np.array(X_data.iloc[:, 2:3])
X3 = X3.flatten()
new_Y_data = np.array(Y_data)

p0 = [0.000001, 1, 1, 1, 1, 1]  # 初始参数值

print(X1,X2,X3)

# 拟合
parmer, covp = op.curve_fit(myfun, (X1,X2,X3) ,np.log(new_Y_data), p0)
print(parmer)
print(covp)