本篇将继续介绍Matplotlib绘图。
plt.axhline() #绘制平行于x轴的水平参考线 plt.axvline() #绘制平行于y轴的水平参考线 plt.axhspan() #绘制垂直于y轴的参考区域 plt. axvspan() #绘制垂直于x轴的参考区域
x = np.linspace(1,10,10) y = np.cos(x) plt.plot(x,y,'g*-',linewidth=2,alpha=0.6,drawstyle='steps') plt.grid(ls=':',c='b') plt.axhline(y=0.15,color='blue',linewidth=4) x = np.linspace(1,10,10) y = np.cos(x) plt.plot(x,y,'g*-',linewidth=2,alpha=0.6,drawstyle='steps') plt.grid(ls=':',c='b') plt.axhline(y=0.15,color='blue',linewidth=4) x = np.linspace(1,10,10) y = np.cos(x) plt.plot(x,y,'g*-',linewidth=2,alpha=0.6,drawstyle='steps') plt.grid(ls=':',c='b') plt.axhline(y=0.15,color='blue',linewidth=4) plt.axvline(6,c='r',lw=5,ls='-.') #把垂直的这条线更改为虚线 x = np.linspace(0,10,10) y = np.cos(x) plt.plot(x,y,'b*-',linewidth = 10,alpha = 0.6,drawstyle='steps') plt.grid(ls=':',c='b') plt.axhspan(-0.25,0.25) #绘制区域 plt.axvline(6,c='r',lw=5) x = np.linspace(0,10,10) y = np.cos(x) plt.plot(x,y,'b*-',linewidth = 10,alpha = 0.6,drawstyle='steps') plt.grid(ls=':',c='b') plt.axhspan(-0.25,0.25,facecolor='yellow',alpha=0.6) #更改区域颜色 plt.axvline(6,c='r',lw=5) x = np.linspace(0,10,10) y = np.cos(x) plt.plot(x,y,'b*-',linewidth = 10,alpha = 0.6,drawstyle='steps') plt.grid(ls=':',c='b') plt.axhspan(-0.25,0.25,facecolor='yellow',alpha=0.6) plt.axvline(6,c='r',lw=5) plt.axvspan(4,8,facecolor='c',alpha=0.3) #绘制垂直区域plt.legend() #标示不同图形的文本标签图例
plt.xticks() #设置x轴的标签名称
plt.yticks() #设置y轴的标签名称
plt.text() #添加图形内容细节的无指向型注释文本
plt.annotate() #添加图形内容细节的指向型注释文本
x = np.linspace(0,10,10) y = np.cos(x) plt.plot(x,y,'b*-',linewidth = 10,alpha = 0.6,drawstyle='steps') plt.grid(ls=':',c='b') plt.axhspan(-0.25,0.25,facecolor='yellow',alpha=0.6) plt.axvline(6,c='r',lw=5,ls='-.') plt.axvspan(4,8,facecolor='c',alpha=0.3) plt.legend(loc='upper right') plt.yticks([-1.00,-0.75,-0.50,-0.25,0.00,0.25,0.50,0.75,1.00],['H','C','Y','I','L','O','V','E','Y']) #更改了例图纵坐标的名称（示例） x = np.linspace(0,10,10) y = np.cos(x) plt.plot(x,y,'b*-',linewidth = 10,alpha = 0.6,drawstyle='steps') plt.grid(ls=':',c='b') plt.axhspan(-0.25,0.25,facecolor='yellow',alpha=0.6) plt.axvline(6,c='r',lw=5,ls='-.') plt.axvspan(4,8,facecolor='c',alpha=0.3) plt.legend(loc='upper right') plt.text(1.5,0,'y=cos(x)',weight='bold',color='b') #1.5是表示标注距离纵坐标的距离这篇就到这里啦，比较简短。下一篇会介绍Matplotlib中plt常见的二维图形绘制命令，包括各种图形的绘制。
