绘制特定x轴值的图表，并在图表中标记*（x，y）值

Question

我希望仅使用c值得到x轴值的图，例如c = [0.000001,0.00001,0.0001,0.001,0.01,1.0]。

另一方面。我希望显示每个 c 的 y 值。

然后在图中用*或正方形标记（c，y）值。

这是我试过的：

from sklearn.svm import LinearSVC
penalty_param=[]
lin_svm=[]
lin_svm_train=[]
for c in (0.000001,0.00001,0.0001,0.001,0.01,1.0):
   penalty_param.append(c)
   clf = LinearSVC(C=c)
   clf.fit(X_train,y_train)
   lin_svm.append(clf.score(X_test,y_test))
   lin_svm_train.append(clf.score(X_train,y_train))


fig2, ax2 = plt.subplots()
ax2.set_xslim((0.000001,0.00001,0.0001,0.001,0.01,1.0))
ax2.plot(penalty_param,lin_svm,label='Test accuracy',marker='o')
ax2.plot(penalty_param,lin_svm_train,label='Train accuracy ',marker='*')
ax2.set_xlabel(" C : penalty parameter")
ax2.set_ylabel("Accuracy")
ax2.legend(loc='best')
ax2.set_title(' Linear SVM classifier accuracy in terms of C parameter')
fig2.show()

我得到以下内容：

我的代码出了什么问题？

修改-1

Answer 1

ax2.set_xscale(value='log')

我刚添加了这行代码。它允许使x轴刻度以对数方式而不是以线性方式变化