I found an example to add lines to a plot_ly
plot by using the add_trace
command. How can I add a list of lines to plot without using add_trace
multiple times?
I tried a for
loop to add the traces but this doesn't work as expected.
my_lines <- list(
list(x=1:10, y=2:11, color='red'),
list(x=1:10, y=0:9, color='blue'),
list(x=1:10, y=3:12, color='green')
)
p <- plot_ly()
p
for(line in my_lines) { p <- add_trace(p, y=line[['y']], x=line[['x']],
marker=list(color=line[['color']]))
}
p
But this for example works as expected.
p <- plot_ly()
p <- add_trace(p, y=my_lines[[1]][['y']], x=my_lines[[1]][['x']],
marker=list(color=my_lines[[1]][['color']]))
p <- add_trace(p, y=my_lines[[2]][['y']], x=my_lines[[2]][['x']],
marker=list(color=my_lines[[2]][['color']]))
p <- add_trace(p, y=my_lines[[3]][['y']], x=my_lines[[3]][['x']],
marker=list(color=my_lines[[3]][['color']]))
p
I believe with the release of plotly 4.0
calling any of the add_*
family of functions forces evaluation so there is no need to call evaluate = T
anymore
So, something like this should work fine:
devtools::install_github("ropensci/plotly")
library(plotly)
p <- plot_ly()
for(i in 1:5){
p <- add_trace(p, x = 1:10, y = rnorm(10), mode = "lines")
}
p
You can transform your inputs into a long-form data frame first, then plot using the split
argument.
library(plotly)
library(reshape2)
my_lines = data.frame(x = 1:10, red = 2:11, blue = 0:9, green = 3:12)
my_lines_long = reshape2::melt(my_lines, id.vars = "x")
fig = plotly::plot_ly(my_lines_long, x = ~x, y = ~value, split = ~variable,
marker=list(color=~variable))
fig
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