matplotlib几个点画曲线
一、总结
一句话总结：
原理是引入scipy.interpolate的 make_interp_spline函数
在x的最小值和最大值中生成300个点
x_smooth = np.linspace(x.min(),x.max(),300) #300 represents number of points to make between x.min and x.max
y_smooth = make_interp_spline(x, y)(x_smooth)
x=np.array([1,2,3,4,5]) y=np.array([4,9,6,8,3]) x_smooth = np.linspace(x.min(),x.max(),300) #300 represents number of points to make between x.min and x.max y_smooth = make_interp_spline(x, y)(x_smooth) plt.plot(x_smooth,y_smooth)
二、matplotlib几个点画曲线
博客对应课程的视频位置：
import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import make_interp_spline # 设置matplotlib库字体的非衬线字体为黑体 plt.rcParams["font.sans-serif"]=["SimHei"] # 设置matplotlib库字体族为非衬线字体 plt.rcParams["font.family"]="sans-serif" fig, ax = plt.subplots() # 取消边框 for key, spine in ax.spines.items(): # 'left', 'right', 'bottom', 'top' if key == 'left' or key == 'right': spine.set_visible(False) plt.xticks([]) plt.yticks([]) x=np.array([1,2,3,4,5]) y=np.array([4,9,6,8,3]) y_mean=np.mean(y).repeat(5) print(y_mean) #plt.plot(x,y,'ro') plt.plot(x,y,color='red', marker='o', linestyle='dashed',linewidth=0, markersize=12) plt.plot(x,y_mean,'k--') x_smooth = np.linspace(x.min(),x.max(),300) #300 represents number of points to make between T.min and T.max y_smooth = make_interp_spline(x, y)(x_smooth) plt.plot(x_smooth,y_smooth) plt.text(0.2,6,r'x均值', fontdict={'size':16,'color':'r'}) plt.text(0.6,6,r'$:mu_x$', fontdict={'size':16,'color':'r'}) plt.show()
