Trying to fit data into sine cosine curve fit using scipy

Question

I am new to signal processing in python. Here I am trying fit data to sine cosine curve using the equation - A * np.sin(x) + B * np.cos(x) + C.

here is the snippet of the code

def func(x, A, B, C):
    return A * np.sin(x) + B * np.cos(x) + C

p0 = 0, 25, 10
popt, pcov = curve_fit(func, x, y)

times = np.linspace(x[0], x[-1], num=21)
plt.plot(x, y, 'o', color='red', label="data")
plt.plot(times, func(times, *popt), '--', color='blue', label="optimized data")
# plt.plot(x, func(x, *popt), '--', color='blue', label="optimized data")
plt.legend()
plt.show()

I am getting below output (in image)

Could anyone help me spotting the mistake or any suggestion with the code