Oct-16-2018, 07:28 PM
Use interpolation with
scipy.interpolate
import numpy as np from scipy.interpolate import interp1d plt.scatter(xdata, ydata, marker='.') f = interp1d(xdata, ydata, kind='cubic') x = np.linspace(min(xdata), max(xdata), num=200) plt.plot(x, f(x))