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See #1331 for a use case. The Pandas analogue allows for concatenation of two Stylers whose DataFrames have the same columns.
If we want to concatenate a Styler for a Triangle's link ratios with a Styler for a set of patterns, we need to define some type of compatibility criterion. I would propose the development periods need to be the same, with an ultimate period if needed.
Another scenario is concatenating a Triangle with its set of link ratios, since the number of table columns are not the same. In this case the development periods from which the link ratios were derived need to be the same.
I can look at this next once #1422 lands.
For the column mismatch (like N columns on a triangle vs N-1 on link ratios), padding the extra column with blanks could let the underlying DataFrames align cleanly without breaking Pandas' internal concat check.
Open to other ideas, but I can put together a quick prototype.
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priyam0k commentedon Sep 23, 2026
I can look at this next once #1422 lands.
For the column mismatch (like N columns on a triangle vs N-1 on link ratios), padding the extra column with blanks could let the underlying DataFrames align cleanly without breaking Pandas' internal concat check.
Open to other ideas, but I can put together a quick prototype.