Question

我尝试使用scipy使我的图表更平滑但结果是水平线。

代码：

import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import spline

dd = [1.0, 0.7071067811865476, 0.5, 0.3535533905932738, 0.25, 0.1767766952966369]
y = range(0,6)

dd1 = np.array(dd)
y1 = np.array(y)

xsmooth = np.linspace (dd1.max(),dd1.min(),5)
ysmooth = spline (dd1,y1,xsmooth)

plt.plot(xsmooth ,ysmooth)
plt.show()

提前致谢

Answer 1

我认为您可能在代码中混合使用x和y。如果 dd 是您的y值且 y 是您的x值，您可以执行样条插值，如下所示：

import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import spline

y = [1.0, 0.7071067811865476, 0.5, 0.3535533905932738, 0.25, 0.1767766952966369]
x = range(0,6)

y = np.array(y)
x = np.array(x)

xsmooth = np.linspace (x.min(),x.max(),20) # an x vector with more intermediate values
ysmooth = spline(x,y,xsmooth) 

plt.plot(xsmooth ,ysmooth)
plt.plot(x,y,'o')
plt.show()

Scipy使图表更平滑

1 个答案: