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scale="free" in facet_wrap mess up with the plots [fix-ggplot2 branch] #317

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zippeurfou opened this issue Dec 1, 2015 · 10 comments
Closed

scale="free" in facet_wrap mess up with the plots [fix-ggplot2 branch] #317

zippeurfou opened this issue Dec 1, 2015 · 10 comments

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@zippeurfou
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Code:

gt4<-structure(list(hour = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 6L, 9L, 9L, 
                             9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 
                             11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 
                             13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 
                             15L, 15L, 15L, 15L, 15L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 
                             18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 
                             20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 
                             21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 
                             23L, 23L), day = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 4L, 
                                                          1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 
                                                          4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 
                                                          6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 
                                                          2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 
                                                          4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 
                                                          6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L
                             ), .Label = c("Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", 
                                           "Friday", "Saturday"), class = c("ordered", "factor")), pct50 = c(7.08, 
                                                                                                             13.58, 5, 8.89, 6.475, 7.53, 8.525, 5.69, 5.48, 9.12, 4.67, 4.42, 
                                                                                                             3.14, 7.005, 4.29, 4.57, 1.51, 2.41, 1.95, 2.02, 5.54, 8.935, 
                                                                                                             4.235, 5.915, 3.69, 7.14, 3.02, 2.26, 7.61, 6.335, 7.605, 6.855, 
                                                                                                             5.97, 5.63, 6.56, 8.79, 6.39, 6.39, 7.33, 5.59, 2, 8.25, 6.03, 
                                                                                                             10.29, 5.69, 4.16, 4.57, 5.955, 8.9, 9.85, 1.24, 6.38, 5.12, 
                                                                                                             11.555, 11.815, 6.695, 7.19, 6.405, 6.75, 6.045, 6.165, 8.31, 
                                                                                                             7.215, 6.03, 9.71, 6.37, 1.88, 10.49, 11.86, 7.965, 8.345, 6.52, 
                                                                                                             8.69, 8.81, 6.71, 8.07, 11.055, 12.45, 10.94, 10.855, 11.36, 
                                                                                                             12.48, 9.425, 8.52, 10.41, 8.79, 7.775, 6.99, 9.855, 9.91, 10.74, 
                                                                                                             11.005, 8.81, 11.555, 7.17, 9.03, 11.48, 9.81, 7.32, 10.39, 5.985, 
                                                                                                             7.47, 9.365, 10.6), pct10 = c(4.405, 10.292, 3.68, 4.794, 4.719, 
                                                                                                                                           7.482, 3.108, 5.69, 1.508, 9.12, 3.91, 2.277, 1.975, 4.009, 2.848, 
                                                                                                                                           4.57, 1.51, 2.41, 1.95, 2.02, 5.54, 3.094, 1.573, 1.739, 2.762, 
                                                                                                                                           1.295, 1.068, 1.089, 4.042, 3.327, 4.362, 4.145, 3.76, 3.878, 
                                                                                                                                           3.306, 8.79, 6.39, 6.39, 7.33, 5.59, 2, 8.25, 4.932, 5.45, 2.6, 
                                                                                                                                           3.332, 2.9, 2.825, 5.402, 9.85, 1.24, 2.484, 5.12, 10.631, 7.075, 
                                                                                                                                           4.465, 4.112, 3.237, 2.422, 3.54, 3.982, 5.504, 2.779, 2.254, 
                                                                                                                                           4.614, 6.066, 1.664, 2.994, 6.1, 5.621, 5.353, 4.936, 3.94, 2.792, 
                                                                                                                                           3.818, 4.144, 8.267, 10.538, 5.106, 8.048, 6.57, 7.704, 6.13, 
                                                                                                                                           5.706, 6.026, 5.064, 4.947, 5.568, 5.566, 5.408, 3.582, 5.705, 
                                                                                                                                           4.804, 5.023, 5.87, 5.244, 5.715, 4.696, 3.806, 3.742, 3.892, 
                                                                                                                                           4.8, 5.645, 6.1), pct25 = c(5.1475, 11.525, 4.175, 6.33, 5.3775, 
                                                                                                                                                                       7.5, 5.295, 5.69, 1.61, 9.12, 4.195, 3.2625, 1.9975, 5.1325, 
                                                                                                                                                                       3.79, 4.57, 1.51, 2.41, 1.95, 2.02, 5.54, 5.29, 2.485, 3.5825, 
                                                                                                                                                                       3.23, 2.765, 1.4025, 1.35, 5.28, 5.1025, 6.28, 4.66, 4.43, 4.95, 
                                                                                                                                                                       4.5325, 8.79, 6.39, 6.39, 7.33, 5.59, 2, 8.25, 5.5575, 8.865, 
                                                                                                                                                                       3.485, 3.93, 3.35, 4.2475, 6.48, 9.85, 1.24, 3.945, 5.12, 10.9775, 
                                                                                                                                                                       8.8525, 5.5475, 5.725, 4.4725, 4.33, 4.8725, 4.7125, 6.835, 4.4425, 
                                                                                                                                                                       3.67, 6.525, 6.21, 1.745, 5.805, 8.26, 6.6875, 5.5275, 5.855, 
                                                                                                                                                                       6.28, 5.115, 4.635, 5.325, 9.355, 11.715, 8.125, 9.18, 9.27, 
                                                                                                                                                                       10.38, 7.1325, 6.78, 7.54, 6.88, 6.1325, 6.2, 8.24, 6.615, 6.95, 
                                                                                                                                                                       7.6225, 6.29, 5.6875, 6.77, 6.815, 9, 6.585, 6.5375, 6.65, 4.14, 
                                                                                                                                                                       6.26, 7.12, 7.07), pct75 = c(11.28, 17.305, 7.52, 11, 7.5725, 
                                                                                                                                                                                                    7.56, 10.6725, 5.69, 7.2, 9.12, 4.85, 6.295, 4.3575, 8.8775, 
                                                                                                                                                                                                    4.46, 4.57, 1.51, 2.41, 1.95, 2.02, 5.54, 11.52, 6.47, 7.61, 
                                                                                                                                                                                                    4.67, 8.7325, 4.995, 3.67, 9.005, 7.6375, 8.3125, 8.47, 8.135, 
                                                                                                                                                                                                    6.4, 8.9425, 8.79, 6.39, 6.39, 7.33, 5.59, 2, 8.25, 9.1675, 10.76, 
                                                                                                                                                                                                    6.64, 7.29, 6.16, 7.1775, 10.28, 9.85, 1.24, 7.225, 5.12, 12.1325, 
                                                                                                                                                                                                    14.7775, 9.5675, 7.83, 8.215, 9.16, 7.5325, 7.54, 9.615, 9.9875, 
                                                                                                                                                                                                    8.39, 16.245, 6.62, 8.765, 15.175, 15.46, 9.37, 9.43, 9.63, 10.2175, 
                                                                                                                                                                                                    11.665, 10.945, 10.79, 12.7, 16.11, 13.535, 12.31, 14.3, 14.9875, 
                                                                                                                                                                                                    12.1875, 9.95, 11.405, 10.91, 9.43, 11.77, 12.72, 15.525, 13.705, 
                                                                                                                                                                                                    12.4075, 12.65, 12.5625, 8.325, 11.475, 16.6875, 12.955, 7.8075, 
                                                                                                                                                                                                    14.23, 7.595, 10.185, 12.0025, 12.76), pct90 = c(16.104, 19.54, 
                                                                                                                                                                                                                                                     9.032, 12.266, 8.231, 7.578, 10.911, 5.69, 7.8, 9.12, 4.958, 
                                                                                                                                                                                                                                                     8.572, 4.515, 10.001, 4.706, 4.57, 1.51, 2.41, 1.95, 2.02, 5.54, 
                                                                                                                                                                                                                                                     11.808, 8.465, 8.96, 4.676, 9.455, 5.783, 9.28, 11.812, 8.428, 
                                                                                                                                                                                                                                                     8.802, 9.759, 11.734, 6.952, 9.662, 8.79, 6.39, 6.39, 7.33, 5.59, 
                                                                                                                                                                                                                                                     2, 8.25, 9.874, 13.36, 8.362, 9.438, 8.042, 7.801, 12.63, 9.85, 
                                                                                                                                                                                                                                                     1.24, 7.732, 5.12, 12.479, 16.555, 10.295, 9.536, 12.145, 11.186, 
                                                                                                                                                                                                                                                     8.083, 9.829, 10.642, 11.651, 9.806, 20.166, 8.3, 12.896, 17.986, 
                                                                                                                                                                                                                                                     17.62, 12.059, 13.258, 11.72, 10.762, 13.24, 12.744, 13.29, 16.005, 
                                                                                                                                                                                                                                                     17.418, 14.97, 14.855, 19.472, 16.194, 15.51, 12.418, 12.778, 
                                                                                                                                                                                                                                                     12.496, 12.293, 19.546, 13.782, 18.508, 14.83, 13.046, 15.586, 
                                                                                                                                                                                                                                                     13.821, 16.332, 12.726, 18.29, 22.8, 9.808, 15.116, 12.437, 12.32, 
                                                                                                                                                                                                                                                     12.712, 14.97)), .Names = c("hour", "day", "pct50", "pct10", 
                                                                                                                                                                                                                                                                                 "pct25", "pct75", "pct90"), class = "data.frame", row.names = c(NA, 
                                                                                                                                                                                                                                                                                                                                                 -104L))


p = ggplot(data = gt4, aes(x = as.numeric(hour))) +
        geom_line(aes(y = pct50),alpha=1) +
        geom_ribbon(aes(ymin = pct25, ymax = pct75),alpha=0.2) +
        geom_ribbon(aes(ymin = pct10, ymax = pct90),alpha=0.2) +
        facet_wrap(~day,scale="free")
(gg<-ggplotly(p))

Screenshot:

plotly: https://infinit.io/_/sF55n9w
ggplot: https://infinit.io/_/3XTsbrZ

Sessioninfo:

> devtools::session_info()
Session info -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 setting  value                       
 version  R version 3.2.2 (2015-08-14)
 system   x86_64, darwin13.4.0        
 ui       RStudio (0.99.486)          
 language (EN)                        
 collate  en_US.UTF-8                 
 tz       America/New_York            
 date     2015-11-30                  

Packages ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 package     * version    date       source                           
 base64enc     0.1-3      2015-07-28 CRAN (R 3.2.0)                   
 colorspace    1.2-6      2015-03-11 CRAN (R 3.2.0)                   
 devtools      1.9.1.9000 2015-11-30 Github (hadley/devtools@b4edf3e) 
 digest        0.6.8      2014-12-31 CRAN (R 3.2.0)                   
 formatR       1.2.1      2015-09-18 CRAN (R 3.2.0)                   
 ggplot2     * 1.0.1.9003 2015-11-30 Github (hadley/ggplot2@23a748f)  
 gridExtra     2.0.0      2015-07-14 CRAN (R 3.2.0)                   
 gtable        0.1.2      2012-12-05 CRAN (R 3.2.0)                   
 htmltools     0.2.6      2014-09-08 CRAN (R 3.2.0)                   
 htmlwidgets   0.5        2015-06-21 CRAN (R 3.2.0)                   
 httr          1.0.0.9000 2015-11-30 Github (hadley/httr@733530e)     
 jsonlite      0.9.19     2015-11-28 CRAN (R 3.2.2)                   
 knitr         1.11       2015-08-14 CRAN (R 3.2.2)                   
 labeling      0.3        2014-08-23 CRAN (R 3.2.0)                   
 magrittr      1.5        2015-11-17 Github (smbache/magrittr@00a1fe3)
 memoise       0.2.1      2014-04-22 CRAN (R 3.2.0)                   
 munsell       0.4.2      2013-07-11 CRAN (R 3.2.0)                   
 packrat       0.4.6-2    2015-11-25 Github (rstudio/packrat@2d9b533) 
 plotly      * 2.0.4      2015-11-30 Github (ropensci/plotly@e3ecaef) 
 plyr          1.8.3      2015-06-12 CRAN (R 3.2.0)                   
 R6            2.1.1      2015-08-19 CRAN (R 3.2.0)                   
 Rcpp          0.12.2     2015-11-15 CRAN (R 3.2.2)                   
 scales        0.3.0      2015-08-25 CRAN (R 3.2.0)                   
 stringi       1.0-2      2015-11-30 Github (Rexamine/stringi@6d9ed3b)
 stringr       1.0.0.9000 2015-11-30 Github (hadley/stringr@a67f8f0)  
 viridis       0.3.1      2015-10-11 CRAN (R 3.2.0)                   
 yaml          2.1.13     2014-06-12 CRAN (R 3.2.0)
@cldougl
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cldougl commented Jan 19, 2016 

library(plotly)
df<-read.csv('test_df.csv')

p <- ggplot(df,
       aes(x=as.Date(Data_date))) +
  geom_line(aes(y=value, group=Data_source, colour=Data_source)) +
  geom_point(data=df[df$flag>0,],aes(y=(value*flag)),size=2) +
  theme(plot.margin = unit(c(2, 0.5, 1, 1), "cm"), plot.title=element_text(size=10,vjust=0.5),legend.position="none") +
  facet_wrap( ~ Measure_id, ncol = 3, scales="free")
p <- ggplotly(p)
plotly_POST(p)

Should be similar to:

But is resulting in:

cpsievert added a commit that referenced this issue Jan 28, 2016
@cpsievert
support free scales for multiple rows (which really fixes #317)
f65b274
@evanhenry
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I have the same issue regarding facet_wrap, everything works fine until ggplotly():
code:

hives <- read.csv("~/Documents/pltlyhive.csv")
##remove space in hives column
hives$Hive<-str_replace_all(string=hives$Hive, pattern=" ", repl="")
hives <- read.csv("~/Documents/pltlyhive.csv")
##remove space in hives column
hives$Hive<-str_replace_all(string=hives$Hive, pattern=" ", repl="")

#works fine w/o plotly
plt<- ggplot(hives,aes(x=Temp,y=Humidity)) + geom_hex(bins=20) + facet_wrap(~ Hive)
plt
##plotly does not work
pltp<-ggplotly(plt)
pltp #w/ plotly graphs dont render,

ggplot:
ggplot

plot_ly:
plotly

ggplotly() does not render the graphs, but when the cursor moves over the graphs the plotly "wizard" appears and highlights the graphed data point

@cpsievert
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This is likely happening due to a different reason. Please install the dev version (devtools::install_github("ropensci/plotly") and let me know if you're still having problems.

@evanhenry
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Still same issue, both for facet_grid and facet_wrap:

plt<- ggplot(hives,aes(x=Temp,y=Humidity)) + geom_hex(bins=20) 
plt + facet_wrap( ~ Hive)
ggplotly() ##plotly not rendering

plt<- ggplot(hives,aes(x=Temp,y=Humidity)) + geom_hex(bins=20) 
plt + facet_grid(. ~ Hive)
ggplotly() ##plotly not rendering

Any ideas? Thanks

@cpsievert
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Collaborator

I'll need a reproducible example to pinpoint the issue

@evanhenry
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Here is link to relavant .R and .csv:
https://github.com/evanhenry/plotly-scratch

@Ni-Ar
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Ni-Ar commented Sep 21, 2017

I still have a similar issue with facet_wrap() and ggplotyl(). When I use ggplotly() I don't get the rendered data in only one of the facets, usually the first or the lower left panel. All the other facets render perfectly.
I'm currently using versions
packageVersion('plotly')
‘4.7.1’
packageVersion('ggplot2')
‘2.2.1’
And the problem still occurs when using the dev version of ggplot2 through devtools::install_github('hadley/ggplot2').

I can share some dummy data and examples but before doing that I'd like to know if this issue got fixed somewhere else on the web were I could look.
Thanks

@diplodata
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@cpsievert Do you consider this bug resolved, or perhaps too tricky to fix?

@titaniumtroop
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I was having this problem until updating to the dev version of plotly and ggplot2 just now, which fixed the issue.

> packageVersion("plotly")
[1] ‘4.7.1.9000’
> packageVersion("ggplot2")
[1] ‘2.2.1.9000’

@kojisposts
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Hi! Just wanted to note that facetting on geom_hex continues to not work (the tooltip doesn't appear at all), and downloading the dev version doesn't seem to resolve the problem.

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8 participants
@cpsievert @cldougl @zippeurfou @Ni-Ar @evanhenry @titaniumtroop @diplodata @kojisposts