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')
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