Reputation: 2394
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.
Upvotes: 6
Views: 751
Reputation: 31709
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
Upvotes: 5