分组条形图的子图分组图例

Question

我正在尝试将子图分组图例添加到 plotly 中的一系列 GROUPED 条形图。我发现了许多图表的子图分组图例示例（就像这里的最后一个图形示例：https://plot.ly/r/legend/），但我无法让“legendgroup = ~”方法适用于 GROUPED 条形图。

我有两个不同年份（2017 年和 2019 年）针对我公司的多个运营部门的调查数据。我想以分组条形格式分别并排显示每个运营单位的 2017 年和 2019 年调查结果，并为每个运营单位提供图表。唯一不起作用的元素是调查年度（2017 年或 2019 年）的图例，我想在所有图表中使用它。

library(data.table)
library(plotly)

# Dummy data 
data <- data.table(Group = rep(c("Business_Unit_1","Business_Unit_2"), each = 4),
                   Question = rep(c("Happy","Ethics","Happy", "Ethics"), each = 2),
                   Year = c("2017", "2019", "2017", "2019", "2017", "2019", "2017", "2019"),
                   Prop = c(.9, .95, .8, .75, .7, .8, .8, .97))

# Grouped bar chart 1                    
plot_1 <- plot_ly() %>%
  add_trace(x = ~ data[Group == "Business_Unit_1" & Year == "2017", (Question)],
            y = ~ data[Group == "Business_Unit_1" & Year == "2017", (Prop)],
            name = "2017",
            type = 'bar',
            marker = list(color = 'rgb(158,202,225)',
                          line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  add_trace(x = ~ data[Group == "Business_Unit_1" & Year == "2019", (Question)],
            y = ~ data[Group == "Business_Unit_1" & Year == "2019", (Prop)],
            name = "2019",
            type = 'bar',
            marker = list(color = 'rgb(58,200,225)',
                          line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  layout(yaxis = list(title = 'Proportion'),
         annotations = list(x = 0.5 , y = 1.05, text = "Business_Unit_1", showarrow = F, xref = 'paper', yref = 'paper'),
         barmode = 'group')

# Grouped bar chart 2
# Right now I am just hiding the second legend
plot_2 <- plot_ly() %>%
  add_trace(x = ~ data[Group == "Business_Unit_2" & Year == "2017", (Question)],
            y = ~ data[Group == "Business_Unit_2" & Year == "2017", (Prop)],
            name = "2017",
            type = 'bar',
            showlegend = FALSE,
            marker = list(color = 'rgb(158,202,225)',
                          line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  add_trace(x = ~ data[Group == "Business_Unit_2" & Year == "2019", (Question)],
            y = ~ data[Group == "Business_Unit_2" & Year == "2019", (Prop)],
            name = "2019",
            type = 'bar',
            showlegend = FALSE,
            marker = list(color = 'rgb(58,200,225)',
                          line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  layout(yaxis = list(title = 'Proportion'),
         annotations = list(x = 0.5 , y = 1.05, text = "Business_Unit_2", showarrow = F, xref = 'paper', yref = 'paper'),
         barmode = 'group')

# Create the subplot
plots <- subplot(plot_1, plot_2, shareY = TRUE, nrows = 1)
plots

这段代码的编写方式，图例仅链接到第一个图，第二个图的图例被隐藏。有人可以帮忙吗？

Answer 1

您可以手动设置legendgroup，就像您所做的跟踪名称一样。 只需将legendgroup = "2017" 或legendgroup = "2019" 放入add_trace 即可。

这是您的代码，稍作改动：

library(data.table)
library(plotly)
# Dummy data 
data <- data.table(Group = rep(c("Business_Unit_1","Business_Unit_2"), each = 4),
                   Question = rep(c("Happy","Ethics","Happy", "Ethics"), each = 2),
                   Year = c("2017", "2019", "2017", "2019", "2017", "2019", "2017", "2019"),
                   Prop = c(.9, .95, .8, .75, .7, .8, .8, .97))

# Grouped bar chart 1                    
plot_1 <- plot_ly() %>%
  add_trace(x = ~ data[Group == "Business_Unit_1" & Year == "2017", (Question)],
            y = ~ data[Group == "Business_Unit_1" & Year == "2017", (Prop)],
            name = "2017",
            type = 'bar',
            legendgroup = "2017", ### Legend 2017
            marker = list(color = 'rgb(158,202,225)',
                          line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  add_trace(x = ~ data[Group == "Business_Unit_1" & Year == "2019", (Question)],
            y = ~ data[Group == "Business_Unit_1" & Year == "2019", (Prop)],
            name = "2019",
            type = 'bar',
            legendgroup = "2019", ### Legend 2019
            marker = list(color = 'rgb(58,200,225)',
                          line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  layout(yaxis = list(title = 'Proportion'),
         annotations = list(x = 0.5 , y = 1.05, text = "Business_Unit_1", showarrow = F, xref = 'paper', yref = 'paper'),
         barmode = 'group')

# Grouped bar chart 2
# Right now I am just hiding the second legend
plot_2 <- plot_ly() %>%
  add_trace(x = ~ data[Group == "Business_Unit_2" & Year == "2017", (Question)],
            y = ~ data[Group == "Business_Unit_2" & Year == "2017", (Prop)],
            name = "2017",
            type = 'bar',
            legendgroup = "2017", ### Legend 2017
            showlegend = FALSE,
            marker = list(color = 'rgb(158,202,225)',
                          line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  add_trace(x = ~ data[Group == "Business_Unit_2" & Year == "2019", (Question)],
            y = ~ data[Group == "Business_Unit_2" & Year == "2019", (Prop)],
            name = "2019",
            type = 'bar',
            legendgroup = "2019", ### Legend 2019
            showlegend = FALSE,
            marker = list(color = 'rgb(58,200,225)',
                          line = list(color = 'rgb(8,48,107)', width = 1.5))) %>%
  layout(yaxis = list(title = 'Proportion'),
         annotations = list(x = 0.5 , y = 1.05, text = "Business_Unit_2", showarrow = F, xref = 'paper', yref = 'paper'),
         barmode = 'group')

# Create the subplot
plots <- subplot(plot_1, plot_2, shareY = TRUE, nrows = 1)
plots

这里是输出：

全部

仅 2017 年：

仅 2019 年：