plotly / plotly/plotly.R

Error when rendering plotly with tidyverse 1.3.2 in shiny

Aperta
#2,190 1 commento 0 reazioni 0 assegnatari Vedi su GitHub

Nessuno ha ancora preso questa issue.

Lingua principale
R
Stelle
2.7k
Fork
641
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Descrizione

I've run into issues with displaying a simple plotly output in shiny when I install the latest tidyverse (1.3.2). The issue does not appear with tidyverse 1.3.1, or if I do not install tidyverse.

I also reported it to the tidyverse repo: https://github.com/tidyverse/tidyverse/issues/303

I've only installed plotly, shiny, and tidyverse.
I get the following error:

Warning: Error in vec_as_location: `...` must be empty.
✖ Problematic argument:
• call = call
  119: <Anonymous>
  118: signalCondition
  117: signal_abort
  116: action
  114: action_dots
  113: ellipsis::check_dots_empty
  112: vec_as_location
  109: vectbl_as_col_location
  108: [.tbl_df
  105: <Anonymous>
  104: mapply
  103: Map
  102: plotly_build.plotly
   98: getFromNamespace("prepareWidget", "plotly")
   97: shinyRenderWidget
   96: func
   83: renderFunc
   82: output$test_graph
    1: shiny::runApp
Input to asJSON(keep_vec_names=TRUE) is a named vector. In a future version of jsonlite, this option will not be supported, and named vectors will be translated into arrays instead of objects. If you want JSON object output, please use a named list instead. See ?toJSON.

when running this simple script:

library(shiny)
library(plotly)

ui <- fluidPage(plotlyOutput('test_graph'))

server <- function(input, output, session){
  
  output$test_graph <- renderPlotly({
    x <- c(1:100)
    random_y <- rnorm(100, mean = 0)
    data <- data.frame(x, random_y)
    
    fig <- plot_ly(data, x = ~x, y = ~random_y, type = 'scatter', mode = 'lines')
    
    fig
  })
}

shinyApp(ui = ui, server = server)

I have the following R version and packages installed:
R version

platform x86_64-pc-linux-gnu
arch x86_64
os linux-gnu
system x86_64, linux-gnu
status
major 4
minor 1.1
year 2021
month 08
day 10
svn rev 80725
language R
version.string R version 4.1.1 (2021-08-10)
nickname Kick Things

Packages

Package Version Package Version Package Version
AnnotationDbi 1.54.1 fs 1.5.0 ps 1.6.0
AnnotationFilter 1.16.0 futile.logger 1.4.3 purrr 0.3.4
askpass 1.1 futile.options 1.0.1 R6 2.5.1
assertthat 0.2.1 gargle 1.2.0 rappdirs 0.3.3
backports 1.2.1 generics 0.1.0 RColorBrewer 1.1-2
bamsignals 1.24.0 GenomeInfoDb 1.28.4 Rcpp 1.0.7
base64enc 0.1-3 GenomeInfoDbData 1.2.6 RCurl 1.98-1.5
bezier 1.1.2 GenomicAlignments 1.28.0 readr 2.1.2
BH 1.75.0-0 GenomicFeatures 1.44.2 readxl 1.3.1
Biobase 2.52.0 GenomicRanges 1.44.0 regioneR 1.24.0
BiocFileCache 2.0.0 getopt 1.20.3 rematch 1.0.1
BiocGenerics 0.38.0 ggplot2 3.3.5 rematch2 2.1.2
BiocIO 1.2.0 glue 1.6.2 reprex 2.0.1
BiocManager 1.30.16 googledrive 2.0.0 restfulr 0.0.13
BiocParallel 1.26.2 googlesheets4 1.0.0 Rhtslib 1.24.0
BiocVersion 3.13.1 gridExtra 2.3 rjson 0.2.20
biomaRt 2.48.3 gtable 0.3.0 rlang 1.0.4
Biostrings 2.60.2 haven 2.4.3 Rsamtools 2.8.0
biovizBase 1.40.0 highr 0.9 RSQLite 2.2.8
bit 4.0.4 Hmisc 4.5-0 rstudioapi 0.13
bit64 4.0.5 hms 1.1.1 rtracklayer 1.52.1
bitops 1.0-7 htmlTable 2.2.1 rvest 1.0.2
blob 1.2.2 htmltools 0.5.2 S4Vectors 0.30.1
broom 1.0.0 htmlwidgets 1.5.4 sass 0.4.2
BSgenome 1.60.0 httpuv 1.6.5 scales 1.1.1
bslib 0.4.0 httr 1.4.2 selectr 0.4-2
cachem 1.0.6 ids 1.0.1 shiny 1.7.2
callr 3.7.0 IRanges 2.26.0 snow 0.4-3
cellranger 1.1.0 isoband 0.2.5 sourcetools 0.1.7
checkmate 2.0.0 jpeg 0.1-9 stringi 1.7.4
cli 3.3.0 jquerylib 0.1.4 stringr 1.4.0
clipr 0.8.0 jsonlite 1.7.2 SummarizedExperiment 1.22.0
colorout 1.2-2 karyoploteR 1.18.0 sys 3.4
colorspace 2.0-2 KEGGREST 1.32.0 tibble 3.1.8
commonmark 1.8.0 labeling 0.4.2 tidyr 1.1.4
cpp11 0.4.0 lambda.r 1.2.4 tidyselect 1.1.1
crayon 1.5.1 later 1.3.0 tidyverse 1.3.2
crosstalk 1.2.0 latticeExtra 0.6-29 tinytex 0.34
curl 4.3.2 lazyeval 0.2.2 tzdb 0.1.2
data.table 1.14.2 lifecycle 1.0.1 utf8 1.2.2
DBI 1.1.1 lubridate 1.8.0 uuid 0.1-4
dbplyr 2.1.1 magrittr 2.0.1 VariantAnnotation 1.38.0
DelayedArray 0.18.0 MatrixGenerics 1.4.3 vctrs 0.3.8
dichromat 2.0-0 matrixStats 0.61.0 viridis 0.6.1
digest 0.6.28 memoise 2.0.0 viridisLite 0.4.0
docopt 0.7.1 mime 0.12 vroom 1.5.7
dplyr 1.0.7 modelr 0.1.8 withr 2.4.2
dtplyr 1.2.1 munsell 0.5.0 xfun 0.26
ellipsis 0.3.2 openssl 1.4.5 XML 3.99-0.8
ensembldb 2.16.4 pillar 1.8.0 xml2 1.3.3
evaluate 0.14 pkgconfig 2.0.3 xtable 1.8-4
fansi 0.5.0 plogr 0.2.0 XVector 0.32.0
farver 2.1.0 plotly 4.10.0 yaml 2.2.1
fastmap 1.1.0 png 0.1-7 zlibbioc 1.38.0
filelock 1.0.2 prettyunits 1.1.1 littler 0.3.12
fontawesome 0.3.0 processx 3.5.2
forcats 0.5.1 progress 1.2.2
formatR 1.11 promises 1.2.0.1
Formula 1.2-4 ProtGenerics 1.24.0

I've identified these differences in installed packages when I install install.packages('tidyverse', repos='https://cloud.r-project.org/') vs install.packages('https://cran.r-project.org/src/contrib/Archive/tidyverse/tidyverse_1.3.1.tar.gz', repos=NULL, type='source'):

Packages v1.3.2 v1.3.1
broom 1.0.0 0.7.9
cli 3.3.0 3.0.1
clipr 0.8.0 not installed
crayon 1.5.1 1.4.1
dtplyr 1.2.1 1.1.0
glue 1.6.2 1.4.2
lubridate 1.8.0 1.7.10
pillar 1.8.0 1.6.3
readr 2.1.2 2.0.2
rlang 1.0.4 0.4.11
rvest 1.0.2 1.0.1
tibble 3.1.8 3.1.5
tidyverse 1.3.2 1.3.1
vroom 1.5.7 1.5.5
xml2 1.3.3 1.3.2

But I haven't looked further into this.

Guida per i contributori

Apri la guida per i contributori

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Direzione di ricerca

Inizia eseguendo lo script shiny minimo dell’issue con plotly 4.10.0 e tidyverse 1.3.2, quindi segui lo stack trace attraverso plotly_build.plotly e getFromNamespace("prepareWidget", "plotly"). Confronta il comportamento con tidyverse 1.3.1 e con le differenze tra le versioni dei pacchetti elencate nel report. Il lavoro è completato quando l’esempio viene renderizzato senza l’errore vec_as_location con tidyverse 1.3.2.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
r
Ambito
data-visualization
Tipo di issue
Bug
Difficoltà
4/5
Tempo stimato
3-5 giorni
Stato di attività
Ferma
Chiarezza
Abbastanza chiara
Idoneità per principianti
38/100

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.