plotly / plotly/plotly.R

Orca exporting Non-ASCII characters

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Dominant language
R
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Description

Brief description of the problem
When I save the plot, i realized that the title of the chart is not Côte, but it becomes C?te.
Please advise.

 library(magrittr)
  library(plotly)
#> Loading required package: ggplot2
#> 
#> Attaching package: 'plotly'
#> The following object is masked from 'package:ggplot2':
#> 
#>     last_plot
#> The following object is masked from 'package:stats':
#> 
#>     filter
#> The following object is masked from 'package:graphics':
#> 
#>     layout
plot_ly(economics, x = ~date, y = ~pop) %>% 
  add_annotations(text = "C\u00f4te", x = 0.5, y = 1,
                  yref = "paper", xref = "paper",
                  xanchor = "middle", yanchor = "top",
                  showarrow = FALSE) %>% 
  plotly::orca(file = "\u00f41.png")
#> No trace type specified:
#>   Based on info supplied, a 'scatter' trace seems appropriate.
#>   Read more about this trace type -> https://plot.ly/r/reference/#scatter
#> No scatter mode specifed:
#>   Setting the mode to markers
#>   Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode
#> Warning: `arrange_()` is deprecated as of dplyr 0.7.0.
#> Please use `arrange()` instead.
#> See vignette('programming') for more help
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_warnings()` to see where this warning was generated.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the supplied R reproduction using plotly::orca and the annotation text "Côte". Trace the export path for the saved plot and verify the result preserves the non-ASCII character instead of rendering it as "C?te".

Written by the indexing model from the issue text.

Assessment

Tech stack
plotly, r
Domain
data-visualization
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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