Building plotly graph in for loop not displaying all series

Question

Creating a plot by adding one column at a time works just fine

exPlot <- plot_ly(data.table(matrix(1:9,ncol = 3)))
theCols <- c("V2","V3")
exPlot <- exPlot %>% add_lines(x = ~V1, y = ~get(theCols[1]), type = "scatter",mode = "lines")
exPlot <- exPlot %>% add_lines(x = ~V1, y = ~get(theCols[2]), type = "scatter",mode = "lines")
exPlot

but if I try to do the same thing in a for loop, it only displays the second trace, overwriting the first one.

exPlot <- plot_ly(data.table(matrix(1:9,ncol = 3)))
theCols <- c("V2","V3")
for(i in 1:2){
  exPlot <- exPlot %>% add_lines(x = ~V1, y = ~get(theCols[i]), type = "scatter",mode = "lines")
}
exPlot

Any way to get around this? I looked around a bit, and setting "evaluate = TRUE" used to be the answer, but that seems to have been deprecated.

Has something to do with the lazy eval of plotly, based on some light googling, there used be an argument evaluate = T, but it seems to have been deprecated? — Vlo
– Vlo, Commented Apr 5, 2017 at 17:08

Maximilian Peters · Accepted Answer · 2017-04-10 06:26:14Z

5

The reason beats me but you are asking for 'any way to get around this'.

Instead of passing the whole data.table at once, you could specify the required y-values in the loop and it should work.

df <- data.table(matrix(1:9,ncol = 3))
exPlot <- plot_ly(df[[1]])
theCols <- c("V2","V3")
for(i in 1:2){
  exPlot <- add_lines(exPlot,
                      y = df[[theCols[i]]],
                      type = "scatter",
                      mode = "lines")
}
exPlot

edited Apr 10, 2017 at 6:26

answered Apr 5, 2017 at 18:10

Maximilian Peters

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