Question

我想在循环中绘制多条迹线，而不会覆盖所有先前的痕迹。

从2015年的this post开始，通过在plot_ly或add_trace函数中设置evaluate = TRUE，可以提供在循环中添加跟踪的解决方案。但是，截至2017年，在较新版本的plot_ly中，evaluate并非属性。

'scatter3d' objects don't have these attributes: 'evaluate'

This question，而this question也未能解决问题。 This post承认，evaluate = TRUE并不适用于新的情节，但没有给出解决方案。 此问题的新解决方案是什么？

我的复制/粘贴数据：

structure(list(x_1 = c(74.651438, 75.31493, 76.736865, 77.858125, 
79.347856, 80.302483), y_1 = c(249.063605, 247.149121, 245.461889, 
243.811041, 242.382685, 240.300034), z_1 = c(4.373868, 3.653744, 
4.101455, 4.134471, 4.225507, 4.890157), x_2 = c(85.468712, 86.637469, 
87.993127, 87.907308, 88.748766, 89.680155), y_2 = c(249.063405, 
247.145423, 245.46148, 244.949469, 244.005001, 242.917665), z_2 = c(4.56633, 
4.059976, 3.842906, 4.019021, 4.316799, 4.378894), x_3 = c(101.720648, 
101.70598, 102.022836, 102.166059, 102.242424, 102.317043), y_3 = c(249.660075, 
249.562464, 249.771452, 249.619983, 249.39349, 249.444531), z_3 = c(3.080686, 
3.003508, 2.774651, 2.291644, 2.239727, 1.932501)), .Names = c("x_1", 
"y_1", "z_1", "x_2", "y_2", "z_2", "x_3", "y_3", "z_3"), row.names = c(NA, 
6L), class = "data.frame")

我的代码：

library(plotly)
p <- plot_ly(temp, type = 'scatter3d', mode = 'lines', width = 1)
for(i in 1:3){
  x = paste0("x_",i)
  y = paste0("y_",i)
  z = paste0("z_",i)
  p <- add_trace(p, x = ~get(x), y = ~get(y), z = ~get(z))
}

p

Answer 1

您可以从一个空的Plotly对象开始，然后按顺序添加跟踪。

library(plotly)

temp <- structure(list(x_1 = c(74.651438, 75.31493, 76.736865, 77.858125, 
                       79.347856, 80.302483), y_1 = c(249.063605, 247.149121, 245.461889, 
                                                      243.811041, 242.382685, 240.300034), z_1 = c(4.373868, 3.653744, 
                                                                                                   4.101455, 4.134471, 4.225507, 4.890157), x_2 = c(85.468712, 86.637469, 
                                                                                                                                                    87.993127, 87.907308, 88.748766, 89.680155), y_2 = c(249.063405, 
                                                                                                                                                                                                         247.145423, 245.46148, 244.949469, 244.005001, 242.917665), z_2 = c(4.56633, 
                                                                                                                                                                                                                                                                             4.059976, 3.842906, 4.019021, 4.316799, 4.378894), x_3 = c(101.720648, 
                                                                                                                                                                                                                                                                                                                                        101.70598, 102.022836, 102.166059, 102.242424, 102.317043), y_3 = c(249.660075, 
                                                                                                                                                                                                                                                                                                                                                                                                            249.562464, 249.771452, 249.619983, 249.39349, 249.444531), z_3 = c(3.080686, 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                3.003508, 2.774651, 2.291644, 2.239727, 1.932501)), .Names = c("x_1", 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               "y_1", "z_1", "x_2", "y_2", "z_2", "x_3", "y_3", "z_3"), row.names = c(NA, 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      6L), class = "data.frame")

p <- plot_ly()
for(i in 1:3){
  x = paste0("x_",i)
  y = paste0("y_",i)
  z = paste0("z_",i)
  p <- add_trace(p, 
                 x = temp[[x]], 
                 y = temp[[y]], 
                 z = temp[[z]],
                 type = 'scatter3d', 
                 mode = 'lines', 
                 line = list(width = 1))
}

p

在循环中的Plotly中添加add_trace

1 个答案: