我将此代码用于情节混淆矩阵，但未显示第一行和最后一行

问题描述

我将此代码用于情节混淆矩阵

def plot_confusion_matrix(cm,classes,normalize=False,title='Confusion matrix',cmap=plt.cm.Blues):
    """
    This function prints and plots the confusion matrix.
    normalization can be applied by setting `normalize=True`.
    """
    if normalize:
        cm = cm.astype('float') / cm.sum(axis=1)[:,np.newaxis]
        print("normalized confusion matrix")
    else:
        print('Confusion matrix,without normalization')

    plt.imshow(cm,interpolation='nearest',cmap=cmap)
    plt.title(title)
    plt.colorbar()
    tick_marks = np.arange(len(classes))
    plt.xticks(tick_marks,rotation=45)
    plt.yticks(tick_marks,classes)

    fmt = '.2f' if normalize else 'd'
    thresh = cm.max() / 2.
    for i,j in itertools.product(range(cm.shape[0]),range(cm.shape[1])):
        plt.text(j,i,format(cm[i,j],fmt),horizontalalignment="center",color="white" if cm[i,j] > thresh else "black")

    plt.tight_layout()
    plt.ylabel('True label')
    plt.xlabel('Predicted label')

然后我将其应用于模型

preds = np.argmax(model.predict(X_test),axis = 1)
y_orig = np.argmax(y_test,axis = 1)
cm = confusion_matrix(preds,y_orig)

但是当我绘制混乱矩阵时并不完整

keys = OrderedDict(sorted(genres.items(),key=lambda t: t[1])).keys()

plt.figure(figsize=(8,8))
plot_confusion_matrix(cm,keys,normalize=True)

这是数字

任何帮助或修改！

解决方法

设置 yticks 正在改变 ylim

做plt.ylim(top=-0.5) 如果需要，还可以更改 plt.ylim(bottom=)