I’m digging into the ‘custom dataframe type’ with

create_dagster_pandas_dataframe_type

and got my first one working 🙌🏼. Is there a built-in way for the dataframe validation to fail if there is a column that’s not defined in the ‘dataframe type’? If so, I’d love to see an example of how that’s done.

hey @Michael Lynton - I think this may be what you’re looking for

Thanks!!