The code converts the dataframe into a 5d array with the first axis focusing on the subject classification, followed by 5 sleep stages, followed by the channels, each subject and then the features.

NumPy is one of the most common Python tools developers and data scientists use for assistance with computing at scale. It provides libraries and techniques for working with arrays and matrices ...

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science. But what ...