Plotly: failure of ggplotly when facets with scales="free_y"

[stla]

Hello,

Nice:

gg <- ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width)) +
  geom_point() + 
  facet_wrap("Species", scales = "free_y")

Not nice:

ggplotly(gg)

> sessionInfo()
R version 3.3.3 (2017-03-06)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1

locale:
[1] LC_COLLATE=French_Belgium.1252  LC_CTYPE=French_Belgium.1252   
[3] LC_MONETARY=French_Belgium.1252 LC_NUMERIC=C                   
[5] LC_TIME=French_Belgium.1252    

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

other attached packages:
[1] purrr_0.2.3        shinythemes_1.1.1  shinyjs_0.9.1      plotly_4.7.1      
[5] ggthemes_3.4.0     ggplot2_2.2.1.9000 shiny_1.0.5    

[mdec]

Adding a link to my post on this issue at StackOverflow:

https://stackoverflow.com/questions/46955032/ggplotly-with-facet-wrapscales-free-y-creates-uneven-panel-widths

[romunov]

Oh my, quite annoying. It would be great if somebody would have a chance to look into this. A workaround may be to stack everything into one column.

ggplotly(
  ggplot(
    aes(
      x = x,
      y = y),
    data = data) +
    geom_point() +
    facet_wrap(~measure, scales = "free_y", ncol = 1)
)

While the next solution doesn't work for this particular iris dataset case, it works for mine. Try swapping number of columns and rows.

[titaniumtroop]

I had this issue as well a couple of weeks ago. Updating to the latest plotly version resolved the issue:

devtools::install_github("ropensci/plotly")

[geotheory]

This issue appears to have returned, assuming it was resolved. I'm using latest dev version 4.8.0.9000 and have a very pronounced variation in any 5+ columns facet_wrap.

[IeUDE]

Can confirm, a facet_wrap with scales = "free" breaks plotly.

[markhwhiteii]

Can confirm this issue has returned, as well. scales = "free_y" produces uneven widths still:

p <- ggplot(tmp_dat, aes(x = delivery_week, y = est_spend, color = topic,
                           text = paste0(
                             topic, "\n", friendly_number(est_spend, 1, TRUE)
                           ), 
                           group = 1)) +
    geom_point() +
    geom_line() +
    facet_wrap(~ label, scales = "free_y") +
    theme_light() +
    theme(text = element_text(size = 16)) +
    scale_y_continuous(label = function(x) friendly_number(x, 1, TRUE)) +
    labs(x = NULL, y = NULL) +
    scale_color_manual(
      name = "Topic",
      values = c("#E69F00", "#56B4E9", "#009E73", 
                 "#F0E442", "#0072B2", "#D55E00")
    )

  ggplotly(p, tooltip = "text") %>% 
    layout(font = list(family = "Roboto"), height = 800, autosize = TRUE) %>% 
    config(displayModeBar = FALSE)

Removing the scales argument yields:

[pif]

The issue is still there. @cpsievert can you re-open this?

[cpsievert]

The original example works. Feel free to open a new issue if you have another minimal reproducible example

[pif]

@cpsievert it's exactly the same for me.

Here's how ggplot looks like.

ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width)) +
  geom_point() + 
  facet_wrap("Species", scales = "free_y")

Here's how it looks like with ggplotly:

gg <- ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width)) +
  geom_point() + 
  facet_wrap("Species", scales = "free_y")
ggplotly(gg)

Notice the difference in column widths.

Here's my sessionInfo():

R version 3.6.1 (2019-07-05)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS Mojave 10.14.6

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

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

other attached packages:
[1] plotly_4.9.0.9000 ggplot2_3.2.0     RPostgreSQL_0.6-2 DBI_1.0.0 

[geotheory]

Bug over 2 years old now. Is there any movement to fix?

[HHHuiyu]

Bug still there. I have line plot with each category as a line, "scale = 'free_y'" turns my categorical axis into numeric when translate to ggplotly. Any update on this?

[PavoDive]

Is this related to Issue 1086?
I'm still having the problem (plotly Version: 4.9.2.1)