我有一个小部件表；每个小部件都有唯一的ID，颜色和类别。我想在circlepack中创建此表的ggraph图，该图涉及类别，层次结构类别>颜色>小部件ID：
问题是根节点。在此MWE中，根节点没有类别，因此它具有自己的功能。
library(igraph)
library(ggraph)
# Toy dataset. Each widget has a unique ID, a fill color, a category, and a
# count. Most widgets are blue.
widgets.df = data.frame(
id = seq(1:200),
fill.hex = sample(c("#0055BF", "#237841", "#81007B"), 200, replace = T,
prob = c(0.6, 0.2, 0.2)),
category = c(rep("a", 100), rep("b", 100)),
num.widgets = ceiling(rexp(200, 0.3)),
stringsAsFactors = F
)
# Edges of the graph.
widget.edges = bind_rows(
# One edge from each color/category to each related widget.
widgets.df %>%
mutate(from = paste(fill.hex, category, sep = ""),
to = paste(id, fill.hex, category, sep = "")) %>%
select(from, to) %>%
distinct(),
# One edge from each category to each related color.
widgets.df %>%
mutate(from = category,
to = paste(fill.hex, category, sep = "")) %>%
select(from, to) %>%
distinct(),
# One edge from the root node to each category.
widgets.df %>%
mutate(from = "root",
to = category)
)
# Vertices of the graph.
widget.vertices = bind_rows(
# One vertex for each widget.
widgets.df %>%
mutate(name = paste(id, fill.hex, category, sep = ""),
fill.to.plot = fill.hex,
color.to.plot = "#000000") %>%
select(name, category, fill.to.plot, color.to.plot, num.widgets) %>%
distinct(),
# One vertex for each color/category.
widgets.df %>%
mutate(name = paste(fill.hex, category, sep = ""),
fill.to.plot = "#FFFFFF",
color.to.plot = "#000000",
num.widgets = 1) %>%
select(name, category, fill.to.plot, color.to.plot, num.widgets) %>%
distinct(),
# One vertex for each category.
widgets.df %>%
mutate(name = category,
fill.to.plot = "#FFFFFF",
color.to.plot = "#000000",
num.widgets = 1) %>%
select(name, category, fill.to.plot, color.to.plot, num.widgets) %>%
distinct(),
# One root vertex.
data.frame(name = "root",
category = "",
fill.to.plot = "#FFFFFF",
color.to.plot = "#BBBBBB",
num.widgets = 1,
stringsAsFactors = F)
)
# Make the graph.
widget.igraph = graph_from_data_frame(widget.edges, vertices = widget.vertices)
widget.ggraph = ggraph(widget.igraph,
layout = "circlepack", weight = "num.widgets") +
geom_node_circle(aes(fill = fill.to.plot, color = color.to.plot)) +
scale_fill_manual(values = sort(unique(widget.vertices$fill.to.plot))) +
scale_color_manual(values = sort(unique(widget.vertices$color.to.plot))) +
theme_void() +
guides(fill = F, color = F, size = F) +
theme(aspect.ratio = 1) +
facet_nodes(~ category, scales = "free")
widget.ggraph
如果我完全省略了根节点，则
ggraph会发出警告，指出图形具有多个组件，并且仅绘制第一类。如果我将根节点分配给第一个类别，则该第一个类别的图将缩小（因为还绘制了整个根节点的图形，而
scales="free"根据需要显示了所有其他类别）。我还尝试将
filter = !is.na(category)添加到aes的geom_node_circle中并将drop = T添加到facet_nodes，但这似乎没有任何效果。作为最后的选择，我可以保留根节点的构面，但将其完全空白（将类别名称设置为空字符串，将圆圈颜色更改为白色）。如果根节点构面始终是最后一个构面，那么不太可能有多余的东西存在。但我很想找到一个更好的解决方案。
我愿意使用除
ggraph以外的其他内容，但是我有以下技术限制：我需要用小部件的实际颜色填充每个小部件的圆圈。我相信这排除了
circlepackeR。我在每个图中需要两个级别（颜色和小部件ID）；我相信这会排除
packcircles + ggiraph，如here所述。这些图是Shiny应用程序的一部分，其中我使用this solution添加工具提示（每个小部件的ID；这必须是工具提示而不是标签，因为在实际数据集中，圆圈很小，ID为很长）。我认为这与为每个类别制作单独的图形并用
grid.arrange绘制它们不兼容。我从未使用过d3，所以我不知道是否可以修改this approach以适应构面和工具提示。编辑：另一个包含光泽部分的MWE：
library(dplyr)
library(shiny)
library(igraph)
library(ggraph)
# Toy dataset. Each widget has a unique ID, a fill color, a category, and a
# count. Most widgets are blue.
widgets.df = data.frame(
id = seq(1:200),
fill.hex = sample(c("#0055BF", "#237841", "#81007B"), 200, replace = T,
prob = c(0.6, 0.2, 0.2)),
category = c(rep("a", 100), rep("b", 100)),
num.widgets = ceiling(rexp(200, 0.3)),
stringsAsFactors = F
)
# Edges of the graph.
widget.edges = bind_rows(
# One edge from each color/category to each related widget.
widgets.df %>%
mutate(from = paste(fill.hex, category, sep = ""),
to = paste(id, fill.hex, category, sep = "")) %>%
select(from, to) %>%
distinct(),
# One edge from each category to each related color.
widgets.df %>%
mutate(from = category,
to = paste(fill.hex, category, sep = "")) %>%
select(from, to) %>%
distinct(),
# One edge from the root node to each category.
widgets.df %>%
mutate(from = "root",
to = category)
)
# Vertices of the graph.
widget.vertices = bind_rows(
# One vertex for each widget.
widgets.df %>%
mutate(name = paste(id, fill.hex, category, sep = ""),
fill.to.plot = fill.hex,
color.to.plot = "#000000") %>%
select(name, category, fill.to.plot, color.to.plot, num.widgets) %>%
distinct(),
# One vertex for each color/category.
widgets.df %>%
mutate(name = paste(fill.hex, category, sep = ""),
fill.to.plot = "#FFFFFF",
color.to.plot = "#000000",
num.widgets = 1) %>%
select(name, category, fill.to.plot, color.to.plot, num.widgets) %>%
distinct(),
# One vertex for each category.
widgets.df %>%
mutate(name = category,
fill.to.plot = "#FFFFFF",
color.to.plot = "#000000",
num.widgets = 1) %>%
select(name, category, fill.to.plot, color.to.plot, num.widgets) %>%
distinct(),
# One root vertex.
data.frame(name = "root",
fill.to.plot = "#FFFFFF",
color.to.plot = "#BBBBBB",
num.widgets = 1,
stringsAsFactors = F)
)
# UI logic.
ui <- fluidPage(
# Application title
titlePanel("Widget Data"),
# Make sure the cursor has the default shape, even when using tooltips
tags$head(tags$style(HTML("#widgetPlot { cursor: default; }"))),
# Main panel for plot.
mainPanel(
# Circle-packing plot.
div(
style = "position:relative",
plotOutput(
"widgetPlot",
width = "700px",
height = "400px",
hover = hoverOpts("widget_plot_hover", delay = 20, delayType = "debounce")
),
uiOutput("widgetHover")
)
)
)
# Server logic.
server <- function(input, output) {
# Create the graph.
widget.ggraph = reactive({
widget.igraph = graph_from_data_frame(widget.edges, vertices = widget.vertices)
widget.ggraph = ggraph(widget.igraph,
layout = "circlepack", weight = "num.widgets") +
geom_node_circle(aes(fill = fill.to.plot, color = color.to.plot)) +
scale_fill_manual(values = sort(unique(widget.vertices$fill.to.plot))) +
scale_color_manual(values = sort(unique(widget.vertices$color.to.plot))) +
theme_void() +
guides(fill = F, color = F, size = F) +
theme(aspect.ratio = 1) +
facet_nodes(~ category, scales = "free")
widget.ggraph
})
# Render the graph.
output$widgetPlot = renderPlot({
widget.ggraph()
})
# Tooltip for the widget graph.
# https://gitlab.com/snippets/16220
output$widgetHover = renderUI({
# Get the hover options.
hover = input$widget_plot_hover
# Find the data point that corresponds to the circle the mouse is hovering
# over.
if(!is.null(hover)) {
point = widget.ggraph()$data %>%
filter(leaf) %>%
filter(r >= (((x - hover$x) ^ 2) + ((y - hover$y) ^ 2)) ^ .5)
} else {
return(NULL)
}
if(nrow(point) != 1) {
return(NULL)
}
# Calculate how far from the left and top the center of the circle is, as a
# percent of the total graph size.
left_pct = (point$x - hover$domain$left) / (hover$domain$right - hover$domain$left)
top_pct <- (hover$domain$top - point$y) / (hover$domain$top - hover$domain$bottom)
# Convert the percents into pixels.
left_px <- hover$range$left + left_pct * (hover$range$right - hover$range$left)
top_px <- hover$range$top + top_pct * (hover$range$bottom - hover$range$top)
# Set the style of the tooltip.
style = paste0("position:absolute; z-index:100; background-color: rgba(245, 245, 245, 0.85); ",
"left:", left_px, "px; top:", top_px, "px;")
# Create the actual tooltip as a wellPanel.
wellPanel(
style = style,
p(HTML(paste("Widget id and color:", point$name)))
)
})
}
# Run the application
shinyApp(ui = ui, server = server)
最佳答案
这是一种解决方案，尽管可能不是最佳解决方案。让我们开始
gb <- ggplot_build(widget.ggraph)
gb$layout$layout <- gb$layout$layout[-1, ]
gb$layout$layout$COL <- gb$layout$layout$COL - 1
在这种情况下，我们有点去除了第一个方面。但是，我们仍然需要修复
gb内部的数据。特别是，我们使用library(scales)
gb$data[[1]] <- within(gb$data[[1]], {
x[PANEL == 3] <- rescale(x[PANEL == 3], to = range(x[PANEL == 2]))
x[PANEL == 2] <- rescale(x[PANEL == 2], to = range(x[PANEL == 1]))
y[PANEL == 3] <- rescale(y[PANEL == 3], to = range(y[PANEL == 2]))
y[PANEL == 2] <- rescale(y[PANEL == 2], to = range(y[PANEL == 1]))
})
分别将面板3和2中的
x和y缩放为面板2和1中的和。最后，gb$data[[1]] <- gb$data[[1]][gb$data[[1]]$PANEL %in% 2:3, ]
gb$data[[1]]$PANEL <- factor(as.numeric(as.character(gb$data[[1]]$PANEL)) - 1)
删除第一个面板并相应地更改面板名称。这给
library(grid)
grid.draw(ggplot_gtable(gb))
关于r - 使用Circlepack在ggraph中进行构面时隐藏根节点，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/54165414/