Issue with `impute` and 'join`

[maxigit]

After joining two dataframes, some columns can be a Maybe or not depending on luck (different subsets of the same set might join better than others).
One solution to deal with the Maybe is to set a default value with impute.
This work well if the colum is a Maybe but raises an error if there is no need to.
Raising an error is not great initially (the general consensus is that partial functions should be avoided (pretty much at all cost) and at least documented), is even unnecessary and in that case probably a mistake.

At the moment it means I have to check somehow if the column is optional or not before applying impute or not.

[daikonradish]

Can you copy paste the error? Thank you!

[maxigit]

error $ "Cannot impute to a non-Empty column: " ++ T.unpack [columnName]

[maxigit]

Also, impute may be easier to use with a column name than a expression.

[daikonradish]

I see. I think in statistics imputation has a very specific meaning, which means that you are filling in a missing value with another value. So I can see why this is the case. @mchav?

[maxigit]

But if there are no missing values (by luck ) should it crashes ?