如何在python中纠正我的过拟合样条曲线

Question

我有一个数据集，我被要求在它的条形图上分配一条平滑的曲线。然而，我创建的图表似乎非常过拟合。他们让我分配某种可以连接一些相邻最小值和最大值的图表，但我不知道该怎么做。任何帮助，将不胜感激。

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

from scipy.interpolate import spline

fig, ax = plt.subplots()

fig.set_size_inches(13,7, forward=True)

width=1.0

data=pd.DataFrame({'x':[-29, -28, -27, -26, -25, -24, -23, -22, -21, -20, -19, -18, -17, -16, -15, -14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30],

                   'y':[0.002383790226460071, 0.002383790226460071, 0.005164878823996822, 0.004370282081843465, 0.005164878823996822, 0.002383790226460071, 0.003178386968613429, 0.005959475566150178, 0.005959475566150178, 0.006754072308303536, 0.007945967421533572, 

plt.bar(data['x'],data['y'],width, color='r',  alpha=0.95)

x=data['x']

y=data['y']

x_new = np.linspace(x.min(),x.max(),300)

y_smooth =spline(x,y,x_new, order=3,kind='smoothest')

plt.plot(x_new,y_smooth, color='b')