Forecast with newer data do not uses existing values

[PhilippTP]

Operating System

Windows

Version Information

Python Version 3.8

Steps to reproduce

In sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-forecasting-in-pipeline/automl-forecasting-in-pipeline.ipynb at Chapter 4.1 it is explained, that one can update the data with newer values and leave NaNs for the values that should be predicted. However when I try to do it, it just overwrites my actual values and not just the NaNs... Can someone explain how that is possible?

Expected behavior

The actual values should stay how they are, only NaNs should be overwritten.

Actual behavior

Actual values are overwritten with predicted values.

Addition information

No response