哪位大佬救救我??

from?matplotlib.colors?import?ListedColormap

def?plot_decision_region(X,?y,?classifier,?resolution=0.02):
????markers?=?('s',?'x',?'o',?'v')
????colors?=?('red',?'blue',?'lightgreen',?'gray',?'cyan')
????#?len(np.unique(y))=2
????cmap?=?ListedColormap(colors[:len(np.unique(y))])
????#?花莖的長(zhǎng)度
????x1_min,?x1_max?=?X[:,?0].min()?-?1,?X[:,?0].max()
????#?花瓣的長(zhǎng)度
????x2_min,?x2_max?=?X[:,?1].min()?-?1,?X[:,?1].max()

????xx1,?xx2?=?np.meshgrid(np.arange(x1_min,?x1_max,?resolution),?np.arange(x2_min,?x2_max,?resolution))
????z?=?classifier.predict(np.array([xx1.ravel(),xx2.ravel()]).T)
????print(xx1.ravel())
????print(xx2.ravel())
????print(z)

????z?=?z.reshape(xx1.shape)
????plt.contourf(xx1,?xx2,?z,?alpha=0.4,?cmap=cmap)
????plt.xlim(xx1.min(),?xx1.max())
????plt.xlim(xx2.min(),?xx2.max())

????for?idx,?cl?in?enumerate(np.unique(y)):
????????plt.scatter(x=X[y==cl,?0],?y=X[y==cl,?1],?alpha=0.8,?c=cmap(idx),?marker=markers[idx],?label=cl)
#?執(zhí)行語(yǔ)句
plot_decision_region(X,?y,?ppn,?resolution=0.02)
plt.rcParams['font.sans-serif']?=?['SimHei']
plt.xlabel('花莖長(zhǎng)度')
plt.ylabel('花瓣長(zhǎng)度')
plt.legend(loc='upper?left')
plt.show()

import?matplotlib.pyplot?as?plt
import?numpy?as?np

#?1）得到數(shù)據(jù)前一百行的第五列
y?=?df.iloc[0:100,?4].values

#?2）將字符串轉(zhuǎn)化為數(shù)字-1和1
y?=?np.where(y?==?'Iris-setosa',?-1,?1)
#?抽取前100條數(shù)據(jù)的第0列和第2列
X?=?df.iloc[0:100,?[0,?2]].values