Drop/filter out rows containing nulls at the schema level

[90degs2infty]

Hello everyone!

Is there a way to

1. drop rows from a DataFrame containing nulls in a set of selected columns while at the same time
2. informing the DataFrame's schema about the fact that the set of selected columns cannot contain physical nulls afterwards? I.e. I'd like is_nullable to return false for the respective Fields after dropping (similar to what fill_null does).

One can easily achieve 1. by passing a suitable Expr to filter. However, I don't know how to implement 2. Any thoughts? Thank you very much! 🙏