Heatmap rectangles get extended along the x-axis

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Hi,

I think I've detected an unexpected behavior.

When I try to create a Heatmap using ggplotly(), the rectangles in the plot get extended along the x-axis when they shouldn't. See the reproducible example below.

library(ggplot2)
library(plotly)

date_range <- seq.POSIXt(as.POSIXct("2022-07-01 17:33:00"), 
                         as.POSIXct("2022-07-10 17:33:00"),
                         by = "1 day")

set.seed(1)
data <- data.frame(
  x = date_range,
  y = rep(letters[1:5], 2),
  z = runif(10, 1, 8),
  g = sample(LETTERS[1:2], 10, replace = T)
)

p <- data %>% 
  ggplot(aes(x, y)) +
  geom_raster(aes(fill = z)) + 
  facet_wrap(~ g, nrow = 2, scales = "free_y")

p

The result from ggplot, as it is expected to be:

However, plotly results as you see below.

ggplotly(p)

sessionInfo()

R version 4.1.3 (2022-03-10) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 20.04.4 LTS

Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3

locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8
[6] LC_MESSAGES=en_US.UTF-8 LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats graphics grDevices datasets utils methods base

other attached packages:
[1] RColorBrewer_1.1-2 plotly_4.9.4.1 ggplot2_3.3.5

loaded via a namespace (and not attached):
[1] highr_0.9 pillar_1.6.1 compiler_4.1.3 tools_4.1.3 digest_0.6.27 evaluate_0.14 jsonlite_1.7.2 lifecycle_1.0.0
[9] tibble_3.1.2 gtable_0.3.0 viridisLite_0.4.0 pkgconfig_2.0.3 rlang_0.4.11 reprex_2.0.0 cli_3.0.0 rstudioapi_0.13
[17] crosstalk_1.1.1 yaml_2.2.1 xfun_0.24 styler_1.5.1 withr_2.4.2 dplyr_1.0.7 httr_1.4.2 knitr_1.33
[25] fs_1.5.0 generics_0.1.0 vctrs_0.3.8 htmlwidgets_1.5.3 grid_4.1.3 tidyselect_1.1.1 glue_1.4.2 data.table_1.14.2
[33] R6_2.5.0 processx_3.5.2 fansi_0.5.0 rmarkdown_2.9 callr_3.7.0 purrr_0.3.4 tidyr_1.1.3 farver_2.1.0
[41] magrittr_2.0.1 ps_1.6.0 backports_1.2.1 scales_1.1.1 ellipsis_0.3.2 htmltools_0.5.1.1 colorspace_2.0-2 renv_0.13.2
[49] labeling_0.4.2 utf8_1.2.1 lazyeval_0.2.2 munsell_0.5.0 crayon_1.4.1

Commencez par exécuter l’exemple R reproductible avec geom_raster(), facet_wrap() et ggplotly() afin de comparer les sorties de ggplot2 et Plotly. Suivez la conversion de la géométrie raster par ggplotly() et vérifiez que les rectangles de la carte de chaleur convertis conservent les limites prévues de l’axe x sans extension.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

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