[英]R Plotly - add_trace that sums value by group
嘗試構建一個按圖分組的條形圖,通過對列進行分組來添加一條線來匯總值。
下面是一個例子:
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$foodPlot <- renderPlotly({
plot_ly(data, x = ~year, y = ~foodQty, type = 'bar', color = ~foodType,
hoverinfo = 'text',
hovertext = ~paste0(foodType, ' ', foodQty)) %>%
add_trace(x = ~year, y = ~foodQty,
type = 'scatter', mode = 'lines', name = 'Total Qty',
line = list(color = 'red'),
hoverinfo = "text",
hovertext = ~paste(foodQty),
transforms = list(list(type = 'aggregate', groups = ~year,
aggregations = list(list(target = 'y', func = 'sum', enabled = T))))) %>%
layout(xaxis = list(title = "", tickangle = -90), yaxis = list(title = ""),
barmode = 'group') %>%
config(displaylogo = FALSE, collaborate = FALSE,
modeBarButtonsToRemove =
list("sendDataToCloud","zoom2d","pan2d","select2d","lasso2d",
"zoomIn2d","zoomOut2d","autoScale2d","hoverClosestCartesian",
"hoverCompareCartesian"))
})
}
shinyApp(ui, server)
}
我的目標是擁有一條按year
求和的紅色Total Qty線。 所以在 2020 年它將是 20,在 2021 年它將是 28,等等。在這個例子中,我嘗試使用transforms
屬性,但它沒有像我想象的那樣工作。
我還嘗試將add_trace
的x
和y
值add_trace
為
x = ~aggregate(data$foodQty, by=list(year=data$year), FUN=sum)$year,
y = ~aggregate(data$foodQty, by=list(year=data$year), FUN=sum)$x,
仍然沒有運氣。 謝謝你的幫助!
您可以使用inherit = FALSE
來避免將屬性從plot_ly()
傳遞到add_trace
並通過aggregate
創建新數據aggregate
- 請檢查以下內容:
library(shiny)
library(plotly)
year <- c("2020", "2020", "2021", "2021", "2022", "2022", "2023", "2023", "2024", "2024", "2025", "2025")
foodType <- c("Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit", "Vegetable", "Fruit")
foodQty <- c(10, 10, 11, 17, 21, 23, 3, 4, 16, 2, 7, 43)
data <- data.frame(year, foodType, foodQty)
ui <- fluidPage(
plotlyOutput("foodPlot")
)
server <- function(input, output, session) {
output$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)
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.