How to draw truth and prediction value curves?

[zwd2016]

Hi liyaguang,
I looked at the evaluate function in dcrnn_supervisor.py, where the real and predicted values are regularized. Can I print the image before line 271?

y_truth = self._data['y_test'][:, :, :, 0] y_pred = y_preds[:y_truth.shape[0], :, :, 0] pyplot.title('test') pyplot.xlabel('Time range (min)') pyplot.ylabel(' Speed (km/h)') pyplot.plot(y_truth[:],label='true') pyplot.plot(y_pred[:],'r--',label='Prediction-DCRNN') pyplot.legend() pyplot.savefig('Figure-test.png', dpi=300) pyplot.show()
best wishes!