Hey there! Scaling variables to unit interval python is a common task, and honestly, both MinMaxScaler and manual methods have their pros and cons. MinMaxScaler is great for simplicity, but if you want more control, doing it manually with numpy is super flexible.
For edge cases, you can write a quick function to check if all values are the same and handle it accordingly. Like, return an array of 0s or 0.5s if all values are identical.
Also, if you’re dealing with HUGE datasets, consider using Dask or PySpark for distributed scaling. They’re built for big data and can handle scaling variables to unit interval python efficiently.
For edge cases, you can write a quick function to check if all values are the same and handle it accordingly. Like, return an array of 0s or 0.5s if all values are identical.
Also, if you’re dealing with HUGE datasets, consider using Dask or PySpark for distributed scaling. They’re built for big data and can handle scaling variables to unit interval python efficiently.