matplotlib绘制平滑的曲线有2种常用的方法
1.曲线拟合
使用scipy库可以拟合曲线.
没拟合的图：
import matplotlib.pyplot as pltimport numpy as npT = np.array([6, 7, 8, 9, 10, 11, 12])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()
使用scipy.interpolate.spline拟合曲线：
import matplotlib.pyplot as pltimport numpy as npT = np.array([6, 7, 8, 9, 10, 11, 12])power = np.array([1.53E+03, 5.92E+02, 2.04E+02, 7.24E+01, 2.72E+01, 1.10E+01, 4.70E+00])from scipy.interpolate import splinexnew = np.linspace(T.min(),T.max(),300) #300 represents number of points to make between T.min and T.maxpower_smooth = spline(T,power,xnew)plt.plot(xnew,power_smooth)plt.show()
2.间隔画曲线
当matplotlib画图的横坐标为时间时，使用scipy.interpolate.spline拟合曲线就会遇到麻烦，我们可以采用间隔点画图。
原先的图：
import matplotlib.pyplot as pltimport numpy as npx = np.arange(0,10,0.2)y = np.random.rand(len(x))plt.plot(x,y, marker="o")plt.show()
间隔点画图：
import matplotlib.pyplot as pltimport numpy as npx = np.arange(0,10,0.2)y = np.random.rand(len(x))plt.plot(x[::4],y[::4], marker="o")plt.show()
参考资料：
Plot smooth line with PyPlot
matplotlib中的平滑线图具有较少的数据点
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