我希望绘制一条平滑的曲线，给出一些点（一维x和y数组）。我想我可以使用make_interp_spline包，但看起来x数组需要均匀排序...我如何使用make_interp_spline而不对数组的x维排序或解决错误？

from scipy.interpolate import make_interp_spline
import numpy as np

# from scipy import stats

import matplotlib.pyplot as plt

x = np.array([-31,-30,-30,-32,-36,-39])
y = np.array([60,62,64,65,64,64])

# plot non-interpolated curve

plt.plot(x,y);

# x = x.reshape(6)

# y = y.reshape(6)

# wher the error occurs about the 1d sorted array

X_Y_Spline = make_interp_spline(x, y)

X_ = np.linspace(x.min(), x.max(), 500)
Y_ = X_Y_Spline(X_)

plt.plot(X_, Y_);

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/tmp/ipykernel_2083810/662623888.py in <module>
      7 #y = y.reshape(6)
      8 
----> 9 X_Y_Spline = make_interp_spline(x, y)
     10 
     11 X_ = np.linspace(x.min(), x.max(), 500)

~/miniconda3/envs/py3_std_maps/lib/python3.9/site-packages/scipy/interpolate/_bsplines.py in make_interp_spline(x, y, k, t, bc_type, axis, check_finite)
    784 
    785     if x.ndim != 1 or np.any(x[1:] < x[:-1]):
--> 786         raise ValueError("Expect x to be a 1-D sorted array_like.")
    787     if np.any(x[1:] == x[:-1]):
    788         raise ValueError("Expect x to not have duplicates")

ValueError: Expect x to be a 1-D sorted array_like.