在 for 循环中构建绘图图不显示所有系列 [英] Building plotly graph in for loop not displaying all series

问题描述

通过一次添加一列来创建一个图就可以了

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

但如果我尝试在 for 循环中做同样的事情，它只会显示第二个跟踪，覆盖第一个.

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

有什么办法可以解决这个问题?我环顾了一下，设置evaluate = TRUE"曾经是答案，但似乎已被弃用.

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.

推荐答案

原因让我失望，但您要求任何解决此问题的方法".

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

您可以在循环中指定所需的 y 值，而不是一次传递整个 data.table，它应该可以工作.

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

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