Correctly handle Tables.AbstractRow in operation specficiation#3348
Correctly handle Tables.AbstractRow in operation specficiation#3348
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This is mildly breaking, but I assume it is OK to add it in 1.6 release. The point is that I assume that when someone uses |
| _insert_row_multicolumn(newdf, df, allow_resizing_newdf, colnames, res) | ||
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| function _add_multicol_res(res::Tables.AbstractRow, newdf::DataFrame, df::AbstractDataFrame, |
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While we're at it, maybe we should make DataFrameRow <: AbstractRow? That would avoid duplicating a few methods and simplifying type unions.
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I was thinking about it.
First (for future readers) DataFrameRow fully supports Tables.AbstractRow interface, so this is just an issue of code design.
Pros of doing subtyping:
- Less code.
- It is more clear which functionalities are on more "abstract level".
Cons of doing subtyping:
- Most of methods for
DataFrameRowandTables.AbstractRoware the same. However, not all of them. Some methods are different, becauseDataFrameRowhas a richer functionality thanTables.AbstractRow. The challenge is that keepingDataFrameRowandTables.AbstractRowseparate makes it easier (at least for me) in the future to find all places in the source code whereDataFrameRowis used. I know this is not a super strong reason but with the size of the code that we have I often end up doing updates of code by running "find in all files" of a certain code pattern (as otherwise it is easy to forget about some place when some functionality is used).
(for a reference: I started implementing this change and noticed that it would affect more code than only this PR and after this change)
So - we could add it, but it also has some practical downsides. What do you think, given this, we should do?
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I don't have a strong opinion. Given that Tables.jl uses duck typing anyway it's not super important to have DataFrameRow <: AbstractRow, and indeed nobody has requested it.
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Yes - duck typing is my main reason for sticking with what we have.
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| @testset "Tables.AbstractRow interface" begin |
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Maybe this should also be tested in other tests where we cover DataFrameRow?
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I have added more such tests (where I managed to track them down).
Co-authored-by: Milan Bouchet-Valat <[email protected]>
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The 32-bit failure seems unrelated but real? |
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Thank you (I will fix the 32-bit error in a separate PR) |
2 participants
Fixes #3335
After this PR
Tables.AbstractRowis treated in the same way asDataFrames.DataFrameRowin allcombine/select/transformoperations.