import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
 
xs=np.arange(-5,5,0.2)
ys1=np.sqrt(25-xs*xs)+np.random.uniform(-0.5,0.5,(xs.shape[0]))
ys2=-1*np.sqrt(25-xs*xs)+np.random.uniform(-0.5,0.5,(xs.shape[0]))

xys1=np.c_[xs,ys1]

xys2=np.c_[xs,ys2]

xy1=np.r_[xys1,xys2]


xh=np.arange(-8,8,0.2)
yh1=np.sqrt(64-xh*xh)+np.random.uniform(-0.5,0.5,(xh.shape[0]))
yh2=-1*np.sqrt(64-xh*xh)+np.random.uniform(-0.5,0.5,(xh.shape[0]))

xyh1=np.c_[xh,yh1]

xyh2=np.c_[xh,yh2]

xy2=np.r_[xyh1,xyh2]

xy3=np.r_[xy1,xy2]
plt.figure()

plt.scatter(xy3[0:100,0],xy3[0:100,1],c='k',marker='*')
plt.scatter(xy3[100:,0],xy3[100:,1],c='r',marker='o')

fig=plt.figure()
ax=Axes3D(fig)

z1=xy3[:,0]**2
z2=xy3[:,1]**2
z3=xy3[:,1]
ax.scatter(z1[0:100],z2[0:100],z3[0:100],c='k',marker='*')
ax.scatter(z1[100:],z2[100:],z3[100:],c='r',marker='o')

plt.show()

c:\users\administrator\appdata\local\programs\python\python37\lib\site-packages\ipykernel_launcher.py:34: MatplotlibDeprecationWarning: Axes3D(fig) adding itself to the figure is deprecated since 3.4. Pass the keyword argument auto_add_to_figure=False and use fig.add_axes(ax) to suppress this warning. The default value of auto_add_to_figure will change to False in mpl3.5 and True values will no longer work in 3.6.  This is consistent with other Axes classes.

import numpy as np
import pandas as pd
from sklearn.datasets import make_moons
import matplotlib.pyplot as plt
from sklearn import svm
from sklearn.model_selection import cross_val_score as cr#调用交叉检验函数
n_samples = 600
x,y=make_moons(n_samples=n_samples, noise=0.1,random_state=3)
clf=svm.SVC(kernel='rbf',gamma=0.5,C=100)#poly代表分类线是曲线，degree是曲线的最高次幂
clf.fit(x,y)
#clf.predict([x])
xmin,xmax=x[:,0].min()-1,x[:,0].max()+1
ymin,ymax=x[:,1].min()-1,x[:,1].max()+1

xx,yy=np.meshgrid(np.arange(xmin,xmax,0.02),np.arange(ymin,ymax,0.02))

xf=np.c_[xx.ravel(),yy.ravel()];
z=clf.predict(xf)
z=z.reshape(xx.shape)
plt.pcolormesh(xx,yy,z,cmap=plt.cm.Pastel1)
plt.scatter(x[:,0],x[:,1],c=y)

print(cr(clf,x,y,cv=5,scoring="accuracy"))

plt.show()

[1.         0.99166667 1.         1.         1.        ]


c:\users\administrator\appdata\local\programs\python\python37\lib\site-packages\ipykernel_launcher.py:20: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3.  Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading'].  This will become an error two minor releases later.