I am trying to do basically the opposite of drop_nulls(). I want to keep all rows that have at least one null. I want to do something like (but I don't want to list all other columns): for (name,) in ( df.filter( pl.col("a").is_null() | pl.col("b").is_null() | pl.col("c").is_null() ) .select("name") .unique() .rows() ): print( f"Ignoring `{name}` because it has at least one null", file=sys.stderr, ) df = df.drop_nulls() Continue reading...