数据可视化之matplotlib实战：plt.step() 绘制阶梯图

import matplotlib.pyplot as pltimport numpy as npx = np.linspace(1,10,10)y = np.sin(x)plt.step(x,y,color="#8dd3c7", where="pre",lw=2)plt.xlim(0,11)plt.xticks(np.arange(1,11,1))plt.ylim(-1.2,1.2)plt.sh

超级大洋葱806

6431人浏览 · 2020-10-04 11:33:55

超级大洋葱806 · 2020-10-04 11:33:55 发布

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(1,10,10)
y = np.sin(x)

plt.step(x,y,color="#8dd3c7", where="pre",lw=2)

plt.xlim(0,11)
plt.xticks(np.arange(1,11,1))
plt.ylim(-1.2,1.2)

plt.show()