How to plot one graph of ROC curve for 4 separate ML model located in different python notebooks

if we have 4 different notebooks for different ML model results .. and we have to plot one ROC curve graph which shows the ROc of all 4 models. how can we do this

this is my code in every notebook to plot roc

import sklearn.metrics as metrics
# calculate the fpr and tpr for all thresholds of the classification

fpr, tpr, threshold = metrics.roc_curve(y_true1, y_pred1)
roc_auc = metrics.auc(fpr, tpr)

# method I: plt

import matplotlib.pyplot as plt
plt.title('Receiver Operating Characteristic')
plt.plot(fpr, tpr, 'b', label = 'AUC = %0.2f' % roc_auc)
plt.legend(loc = 'lower right')
plt.plot([0, 1], [0, 1],'r--')
plt.xlim([0, 1])
plt.ylim([0, 1])
plt.ylabel('True Positive Rate')
plt.xlabel('False Positive Rate')
plt.show()