Python 绘制特定x轴值的绘图，并在绘图中标记*（x，y）值

我想得到x轴值只跟在c值后面的图，这样c=[0.000001,0.00001,0.0001,0.001,0.01,1.0]

换句话说。我想显示每个c的y值

然后在绘图中用*或正方形标记（c，y）值

以下是我尝试过的：

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()

我得到了以下信息：

我的代码有什么问题

编辑-1

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我刚加了这行代码。它允许x轴比例以对数方式而不是线性方式变化

您没有要求matplotlib使用标记。@Goyo，请查看我的更新。要查看这些值（0.000001,0.00001,0.0001,0.001,0.01,1.0）的标记，我需要具有x轴值：0.000001,0.00001,0.0001,0.001,0.011.0在该刻度中，而不是0,0.2,0.4,0.8。。这是我的问题，标记似乎位于指定的x位置。我不知道你想要什么。更改x刻度？对数刻度？一份预期结果的草稿会有所帮助。事实上，它们位于指定的位置。然而，为了清楚地显示它们，我需要改变x记号，以便在x轴上看到0.000001,0.00001,0.0001,0.001,0.01,1.0，而不是0.0,0.2,0.4,0.6,0.8,1.0，你可以随意改变。

ax2.set_xscale(value='log')