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from pylab import *n = 256x = np.linspace(-np.pi,np.pi,n,endpoint=true)y = np.sin(2*x)plt.axes([0.025,0.025,0.95,0.95])plt.plot (x, y+1, color='blue', alpha=1.00)plt.fill_between(x,1,y+1,color='b',alpha=.25)plt.plot (x, y-1, color='blue', alpha=1.00)plt.fill_between(x,-1,y-1,(y-1)>-1,color='b',alpha=.25)plt.fill_between(x,-1,y-1,(y-1)<-1,color='r',alpha=.25)plt.xticks([])plt.yticks([])plt.show() |
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from pylab import *n = 1024x = np.random.normal(0,1,n)y = np.random.normal(0,1,n)t=np.arctan2(y,x)plt.axes([0.025,0.025,0.95,0.95])plt.scatter(x,y,s=60,c=t,alpha=.5)plt.xlim(-1.5,1.5)plt.ylim(-1.5,1.5)plt.xticks([])plt.yticks([])plt.show() |
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from pylab import *n = 12x = np.arange(n)y1 = (1-x/float(n)) * np.random.uniform(0.5,1.0,n)y2 = (1-x/float(n)) * np.random.uniform(0.5,1.0,n)plt.bar(x, +y1, facecolor='#9999ff', edgecolor='white')plt.bar(x, -y2, facecolor='#ff9999', edgecolor='white')for x,y in zip(x,y1): plt.text(x, y+0.05, '%.2f' % y, ha='center', va= 'bottom')for x1,y1 in zip(x,y2): plt.text(x1, -y1-0.05, '%.2f' % y1, ha='center', va= 'top')plt.xlim(-.5,n),plt.xticks([])plt.ylim(-1.25,+1.25),plt.yticks([])plt.show() |
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from pylab import *def f(x,y): return (1-x/2+x**5+y**3)*np.exp(-x**2-y**2)n = 256x = np.linspace(-3,3,n)y = np.linspace(-3,3,n)x,y = np.meshgrid(x,y)plt.axes([0.025,0.025,0.95,0.95])plt.contourf(x,y,f(x,y),8, alpha=.75, cmap=plt.cm.hot)c = plt.contour(x, y, f(x,y), 8, colors='black', linewidth=.5)plt.clabel(c,inline=1,fontsize=10)plt.xticks([]),plt.yticks([])plt.show() |
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from pylab import *def f(x,y): return (1-x/2+x**5+y**3)*np.exp(-x**2-y**2)n = 10x = np.linspace(-3,3,4*n)y = np.linspace(-3,3,3*n)x,y = np.meshgrid(x,y)z=f(x,y)plt.axes([0.025,0.025,0.95,0.95])plt.imshow(z,interpolation='bicubic',cmap='bone',origin='lower')plt.colorbar(shrink=.92)plt.xticks([]), plt.yticks([]) |
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from mpl_toolkits.mplot3d import axes3dfig=plt.figure()ax=axes3d(fig)x=np.arange(-4.0,4.0,0.25)y=np.arange(-4.0,4.0,0.25)x,y=np.meshgrid(x,y)z=np.sin(np.sqrt(x**2+y**2))surf=ax.plot_surface(x,y,z, rstride=1, cstride=1, cmap=plt.get_cmap('rainbow'))ax.contourf(x,y,z,zdir='z',offset=-2,cmap=plt.cm.hot)ax.set_zlim(-2,2)fig.colorbar(surf,shrink=0.5,aspect=8) |
总结
本篇文章就到这里了，希望能给你带来帮助，也希望您能够多多关注服务器之家的更多内容!
原文链接：https://blog.csdn.net/qq_41634258/article/details/119789922
