def plot_matrix(m):
    fig = plt.figure(figsize=m.shape)
    ax = fig.add_subplot(111)
    cax = ax.matshow(m)
    fig.colorbar(cax)

for f in range(len(misclassified)):
    label = y_test[misclassified[f]]
    if len(seen) <= 10 and label not in seen:
        seen+=label
        item = X_train.iloc[misclassified[f]].values.reshape(28, 28)
        plot_matrix(item)