Python uses matplotlib,numpy,scipy to make a scatter smoothing curve __python

First, give a curve without smooth.

Import Matplotlib.pyplot as Plt
import numpy as np

T = Np.array ([6, 7, 8, 9, ten, One,]) power
= Np.array ([1. 53E+03, 5.92E+02, 2.04E+02, 7.24E+01, 2.72E+01, 1.10E+01, 4.70E+00])

plt.plot (t,power)
plt.show ()

The output curve is shown below

Using the SCIPY library can be used to smooth curves

The code is as follows

Import Matplotlib.pyplot as Plt
import NumPy as NP
from scipy.interpolate import spline

T = Np.array ([6, 7, 8, 9, one, one]) power
= Np.array ([1.53E+03, 5.92E+02, 2.04E+02, 7.24E+01, 2.72E+01, 1.10E+01, 4.70E+00])
xnew = n P.linspace (T.min (), T.max (), #300 represents number of points to make between T.min and T.max

power_smooth = Splin E (t,power,xnew)

plt.plot (Xnew,power_smooth)
plt.show ()

The output picture is