[英]R Plotly - add_trace that sums value by group
尝试构建一个按图分组的条形图,通过对列进行分组来添加一条线来汇总值。
下面是一个例子:
if (interactive()) {
library(plotly)
year <- c("2020", "2020", "2021", "2021", "2022", "2022", "2023", "2023", "2024", "2024", "2025", "2025")
foodType <- c("Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit")
foodQty <- c(10, 10, 11, 17, 21, 23, 3, 4, 16, 2, 7, 43)
data <- data.frame(year, foodType, foodQty)
ui <- fluidPage(
plotlyOutput("foodPlot")
)
server <- function(input, output, session) {
output$foodPlot <- renderPlotly({
plot_ly(data, x = ~year, y = ~foodQty, type = 'bar', color = ~foodType,
hoverinfo = 'text',
hovertext = ~paste0(foodType, ' ', foodQty)) %>%
add_trace(x = ~year, y = ~foodQty,
type = 'scatter', mode = 'lines', name = 'Total Qty',
line = list(color = 'red'),
hoverinfo = "text",
hovertext = ~paste(foodQty),
transforms = list(list(type = 'aggregate', groups = ~year,
aggregations = list(list(target = 'y', func = 'sum', enabled = T))))) %>%
layout(xaxis = list(title = "", tickangle = -90), yaxis = list(title = ""),
barmode = 'group') %>%
config(displaylogo = FALSE, collaborate = FALSE,
modeBarButtonsToRemove =
list("sendDataToCloud","zoom2d","pan2d","select2d","lasso2d",
"zoomIn2d","zoomOut2d","autoScale2d","hoverClosestCartesian",
"hoverCompareCartesian"))
})
}
shinyApp(ui, server)
}
我的目标是拥有一条按year
求和的红色Total Qty线。 所以在 2020 年它将是 20,在 2021 年它将是 28,等等。在这个例子中,我尝试使用transforms
属性,但它没有像我想象的那样工作。
我还尝试将add_trace
的x
和y
值add_trace
为
x = ~aggregate(data$foodQty, by=list(year=data$year), FUN=sum)$year,
y = ~aggregate(data$foodQty, by=list(year=data$year), FUN=sum)$x,
仍然没有运气。 谢谢你的帮助!
您可以使用inherit = FALSE
来避免将属性从plot_ly()
传递到add_trace
并通过aggregate
创建新数据aggregate
- 请检查以下内容:
library(shiny)
library(plotly)
year <- c("2020", "2020", "2021", "2021", "2022", "2022", "2023", "2023", "2024", "2024", "2025", "2025")
foodType <- c("Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit")
foodQty <- c(10, 10, 11, 17, 21, 23, 3, 4, 16, 2, 7, 43)
data <- data.frame(year, foodType, foodQty)
ui <- fluidPage(
plotlyOutput("foodPlot")
)
server <- function(input, output, session) {
output$foodPlot <- renderPlotly({
plot_ly(data, x = ~year, y = ~foodQty, type = 'bar', color = ~foodType,
hoverinfo = 'text',
hovertext = ~paste0(foodType, ' ', foodQty)) %>%
add_trace(data = aggregate(foodQty ~ year, data = data, sum), x = ~year, y = ~foodQty,
type = 'scatter', mode = 'lines', name = 'Total Qty',
line = list(color = 'red'),
hoverinfo = "text",
hovertext = ~paste(foodQty), inherit = FALSE) %>%
layout(xaxis = list(title = "", tickangle = -90), yaxis = list(title = ""),
barmode = 'group') %>%
config(displaylogo = FALSE, collaborate = FALSE,
modeBarButtonsToRemove =
list("sendDataToCloud","zoom2d","pan2d","select2d","lasso2d",
"zoomIn2d","zoomOut2d","autoScale2d","hoverClosestCartesian",
"hoverCompareCartesian"))
})
}
shinyApp(ui, server)
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