数据可视化之matplotlib实战：plt.axhline() axvline()函数绘制水平or垂直参考线

import matplotlib.pyplot as pltimport numpy as npx = np.linspace(0.05,10,1000)y = np.sin(x)plt.plot(x,y,ls="-.",lw=2,c="c",label="plot figure")plt.legend()plt.axhline(y=0.0,c="r",ls="--",lw=2)plt.axvl

超级大洋葱806

12709人浏览 · 2020-10-03 10:43:30

超级大洋葱806 · 2020-10-03 10:43:30 发布

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0.05,10,1000)
y = np.sin(x)

plt.plot(x,y,ls="-.",lw=2,c="c",label="plot figure")

plt.legend()

plt.axhline(y=0.0,c="r",ls="--",lw=2)
plt.axvline(x=4.0,c="r",ls="--",lw=2)

plt.show()