使用curve_fit拟合接受一维数组输入并返回二维数组的函数的正确方法

import numpy as np
from scipy.optimize import curve_fit

def func(x, a, b, c):
    return a * x**2 + b * x + c

x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 5, 10, 17, 26])

popt, pcov = curve_fit(func, x, y)

print(popt)

import numpy as np
from scipy.optimize import curve_fit

def func(x, a, b, c):
    return a * x**2 + b * x + c

x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 5, 10, 17, 26])

popt, pcov = curve_fit(func, x, y)
print(popt)