垂直条形图中的类别顺序（在 Plotly 中）

Question

我正在尝试绘制水平条并按正值/负值为它们着色。问题是即使我使用了 categoryarray = cat，栏的顺序也发生了变化。如果我删除 color = sign 部分，订单就没问题了。到目前为止，这是我的代码：

library(plotly)
library(data.table)

dt <- data.table( cat = c("A", "B", "C", "D"),
                  val = c(12, -3, -9, 2))
dt[, sign := "p"]
dt[val < 0 , sign := "n"]
setorder(dt, -cat)

p <- plot_ly(data = dt, y = cat, x = val, type = "bar",  orientation = "h", color = sign ) %>%
  layout(title = "Some title",
         xaxis = list(categoryarray = cat, categoryorder = "array"),
         showlegend = FALSE)
p

以及输出：

Answer 1

由于您使用的是水平方向，因此 y 轴包含类别。所以你需要做的是在 layout 函数中编辑 y 轴：

library(plotly)
library(data.table)

dt <- data.table( cat = c("A", "B", "C", "D"),
                  val = c(12, -3, -9, 2))
dt[, sign := "p"]
dt[val < 0 , sign := "n"]
setorder(dt, -cat)

p <- plot_ly(data = dt, y = cat, x = val, type = "bar",  orientation = "h", color = sign) %>%
  layout(title = "Some title",
         yaxis = list(categoryarray = cat, categoryorder = "array"),
         showlegend = FALSE)
p

垂直条形图中的类别顺序（在 Plotly 中）

Categories order in vertical bar chart ( in Plotly )

r

plotly