ggplot2 extension packages

Extensions that we'd like ggplotly() to support

• ggraph, ggforce https://github.com/plotly/plotly.R/pull/1326
• forecast https://github.com/plotly/plotly.R/pull/2045
• ggpubr::stat_compare_means() (and maybe others from https://github.com/kassambara/ggpubr?)
• https://github.com/business-science/tidyquant
• https://github.com/mjskay/tidybayes
• https://github.com/kassambara/survminer
• https://github.com/GuangchuangYu/ggtree
• ggpolypath https://github.com/ropensci/plotly/issues/1339
• geomnet
• https://github.com/clauswilke/ggjoy
• https://github.com/baptiste/ggflags
• ggtheme's geom_rangeframe
• https://github.com/wilkox/treemapify
  • Seems to have significant overlap with ggraph
• directlabels #1244
• ggsurv (GeomConfint) #1404
• ggimage #1442
• statebins https://github.com/ropensci/plotly/issues/1558
• corrr https://github.com/ropensci/plotly/issues/1684
  • Does this provide any value over GGally::ggcorr()?
• ggpmisc https://github.com/ropensci/plotly/issues/1687
• ggnewscale https://github.com/ropensci/plotly/issues/1661
• Ipaper https://github.com/ropensci/plotly/issues/1672
• qqplotr https://github.com/ropensci/plotly/issues/1705
• ggpmisc::stat_poly_eq() https://github.com/ropensci/plotly/issues/1921
• ggrain https://github.com/plotly/plotly.R/issues/2366

Extensions that ggplotly() currently supports

• GGally
• ggalluvial
• ggalt

Extensions that we don't plan on working on anytime soon

• ggrepel
  • Reasoning: https://github.com/plotly/plotly.R/issues/2018#issuecomment-958146301
• patchwork, gridExtra
  • Reasoning: https://github.com/plotly/plotly.R/issues/2028#issuecomment-956431432
• ggtern
  • Reasoning: https://github.com/plotly/plotly.R/issues/2015#issuecomment-958155674

Want to add an extension?

If any community members are interested in implementing a hook into ggplotly() for a custom geom, see https://cpsievert.github.io/plotly_book/translating-custom-ggplot2-geoms.html

If anyone would like to sponsor work on a specific geom/package, please get in touch.

Commencez par sélectionner une extension non cochée et lisez l’issue ou la pull request qui lui est associée, le cas échéant. Lisez ensuite le guide custom-geom à l’adresse cpsievert.github.io/plotly_book/translating-custom-ggplot2-geoms.html et déterminez le hook ggplotly pertinent. Le travail est terminé lorsque l’extension sélectionnée est prise en charge par ggplotly et que son comportement est vérifié.