Hoverlabels in stacked area charts with ggplotly not working properly

[acmuehlhausen-smc]

Hello there!

When creating a stacked area chart with ggplot in R and using ggplotly to create a plotly version of it, there occurs a rather grave error: in the hoverlabel only the frist value for each trace is shown. Say, I have years on the x axis, then for all years 2019 will be displayed, even though the value belongs to 2023.

My minimum code sample is here: https://plotly.com/ggplot2/filled-area-plots/

The official tutorials samples show the same behaviour on my Linux machine, all packages up to date.

Would really enjoy it if that were to be fixed!

Best regards! Alex

[karsfri]

Hi

I have the same problem after I updated ggplot. I suspect it's because of the new stat_align function that is now behind the geom_area functions.

https://www.tidyverse.org/blog/2022/11/ggplot2-3-4-0/

I have no idea if this is an ggplot2 issue or plotly issue, but I too would love the issue to be fixed.

I just found away around this bug though. If you use geom_area(stat = "identity") it will work again in ggplotly. If you don't want to do that everytime you could update the geom defults:

update_geom_defaults("area", stat = "identity"))

or

geom_area <- function(stat = "identity", ...){ggplot2::geom_area(stat = stat, ...)}

[acmuehlhausen-smc]

Hi,

thanks for the input, will try that sometime! For the moment, I am working with Python Plotly now, it has ... different bugs. ;-)

[federicotallis]

Hi

I have the same problem after I updated ggplot. I suspect it's because of the new stat_align function that is now behind the geom_area functions.

https://www.tidyverse.org/blog/2022/11/ggplot2-3-4-0/

I have no idea if this is an ggplot2 issue or plotly issue, but I too would love the issue to be fixed.

I just found away around this bug though. If you use geom_area(stat = "identity") it will work again in ggplotly. If you don't want to do that everytime you could update the geom defults:

update_geom_defaults("area", stat = "identity"))

or

geom_area <- function(stat = "identity", ...){ggplot2::geom_area(stat = stat, ...)}

This worked for me!