Christoph Sander

> What we would actually need is to automatically show in the UI the inverse of the properties specified in the configuration. So, the owl would say P2 is inverse...

I think that's a good and intelligible setup. However, a toggle or configuration parameter that allows to invert any property that has a shape for range and domain could be...

I use [oxigraph](https://github.com/oxigraph/oxigraph). Maybe @Tpt will implement this in the future, too

Checking back on this, has oxigraph meanwhile maybe enhanced `xsd:gYear` parsing @Tpt or Sparnatural implemented `YEAR()` parsing @tfrancart ? Our project and its use of both would greatly benefit 😁

https://github.com/oxigraph/oxigraph/releases/tag/v0.5.0-beta.2 I guess this will do the trick @Tpt . Great!

Makes sense!

https://github.com/jnothman/UpSetPlot/blob/dcfadae04edfffe321fc0b002bf1865019f75f9b/upsetplot/plotting.py#L782C1-L798C58 change ```py styles = ( pd.DataFrame(styles) .reindex(columns=style_columns.keys()) .astype( { "facecolor": "O", "edgecolor": "O", "linewidth": float, "linestyle": "O", "hatch": "O", } ) ) styles["linewidth"].fillna(1, inplace=True) styles["facecolor"].fillna(self._facecolor, inplace=True) styles["edgecolor"].fillna(styles["facecolor"], inplace=True) styles["linestyle"].fillna("solid",...

Ultimately, this is not about the column labels but rather about the names of the bound variables, I suppose. Edit: If I understand correctly, the uniqueness of variable names only...

I wasn’t actually aware that column names could be freely assigned, but I saw that they can be set according to the variable names via a toggle. Fundamentally, this is...

Obviously, this is just a nice-to-have feature and a suggestion. The functionality of the tool is not affected by this at all.