[Feature request]: Add the ability to use the drop function with doric columns

[Amalicia]

Feature suggestion

The following functionality is not supported:

df.drop(colString("col1))

Whilst the same effect can be achieved via select, having the ability to drop is useful in certain cases.

Whilst looking into this I found out the Spark doe not support dropping multiple columns via col notation or similar and only allows dropping columns via string column names. It might be a nice addition to doric to have a function defined similar to the following:

def drop(col: DoricColumn[_]*): DataFrame

Current behaviour

When trying to use the drop function with a doric column we get the following error:

Cannot resolve overloaded method 'drop`

[Amalicia]

As mentioned, I'm not fully sure if this is functionality required in doric given we can achieve it with select. However if this is something you do feel will add value please let me know as I have the changes locally for both functions 😃

[alfonsorr]

Hi!

The idea is good, but the original logic of drop is that it never throws an error if the column doesn't exist. We can have an alternative version that checks if it exists and returns an error in case it doesn't.

[Amalicia]

Ahhhhh I didn't realise that was the case with drop, thanks for the heads up!

Throwing an error when the column doesn't exist sounds like a great idea, I'll work on adding that to what I currently have and go from there 😄