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Hi and thanks @Peter ! We do have an is_in operator which you should already be able to use for this use-case: https://www.getdaft.io/projects/docs/en/latest/api_docs/doc_gen/expression_methods/daft.expressions.Expression.is_in.html Couple of questions: 1. Was this not discoverable via the documentation? Any suggestions on better docs? 2. Does this solve your question? I think other dataframe libraries do expose their functionality as for functions, for example:

F.and_

, which is an alternative method chaining like we do. Interested to hear your thoughts there as well.

Thanks @jay , somehow I missed the

is_in

operator. I scanned through the sidenav of the Exppressions API, but I did not catch what I was looking for, maybe the line break messed up my quick scan. This solves my question. With regards to enhancing the docs, I would have two suggestions. It would be great to have either more concise hyperlinks (e.g. removing the

daft.Expression.

prefix) or a wider sidenav to accommodate the fully qualified names of the API members. More importantly, I think it would be useful to provide more advanced examples under the

DataFrame

methods like

daft.DataFrame.where

. Having a one-liner example there featuring how to use

is_in

(and also indicating that such a utility exists) would be great.

👍 thanks! 1. Yes I think our docs can do a better job with examples. We’ll prioritize getting better example coverage all across the docs. 2. We’ll also take a look at making the hyperlinks more concise (removing the

daft.Expression

or

daft.DataFrame

prefixes)

Great, thanks!