在 R Shiny 中调整 Plotly::subplot 的高度和宽度
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【中文标题】在 R Shiny 中调整 Plotly::subplot 的高度和宽度【英文标题】：Adjusting height and width of Plotly::subplot in R Shiny 【发布时间】：2021-10-18 03:52:34 【问题描述】：我正在尝试在R 的shiny 应用程序中插入plotly::subplot。 app 按预期工作，除了 subplot 不会更新绘图大小，即使在 renderPlotly 中使用 height 和 width 参数后也是如此。
如何调整R Shiny 中子图的高度和宽度？
我能找到的与此问题类似的最接近的answer 使用户选择所需的高度和宽度，这不是我想要的，因为我想在代码中预定义绘图大小。
代码
library(shiny)
library(shinydashboard)
library(shinythemes)
library(shinyWidgets)
library(fontawesome)
library(tidyverse)
library(plotly)
# Define UI for application that draws a plotlys
options(shiny.maxRequestSize=30*1024^2)
ui = navbarPage("Title", theme = shinytheme("spacelab"),
tabPanel("Interactive Plot",
icon = icon("chart-area"),
# Show plots side by side
splitLayout(
plotlyOutput(outputId = "Comparison_Plots"),
width = "1080px",
height = "1280px")))
# Tell the server how to assemble inputs into outputs
server = function(input, output)
output$Comparison_Plots = renderPlotly(
Group_1_2020 = data.frame(Code = c("A", "B", "C", "AA", "AAA", "AAAA", "BB", "BBB", "BBBB", "CC", "CCC", "CCCC"),
Count_2020 = c(1,2,3,11,111,121,22,222,263,33,333,363))
Group_2_2020 = data.frame(Code = c("D", "E", "F", "DD", "DDD", "DDDD", "EE", "EEE", "EEEE", "FF", "FFF", "FFFF"),
Count_2020 = c(4,5,6,14,24,34,45,55,65,76,86,96))
Group_1_2021 = data.frame(Code = c("A", "B", "C", "AA", "AAA", "AAAA", "BB", "BBB", "BBBB", "CC", "CCC", "CCCC"),
Count_2021 = c(4, 8, 6,14,116,128,42,242,263,43,433,863 ))
Group_2_2021 = data.frame(Code = c("D", "E", "F","DD", "DDD", "DDDD", "EE", "EEE", "EEEE", "FF", "FFF", "FFFF"),
Count_2021 = c(8, 10, 12,44,64,85,105,125,96,46,136))
# Merge Datasets
DF_Merged_1 =
inner_join(Group_1_2020, Group_1_2021)
DFF_Merged_1 = DF_Merged_1 %>% dplyr::select(Code, Count_2020, Count_2021) %>%
gather(key = Type, value = Value, -Code) %>%
mutate(Type = ifelse(Type == "Count_2020", "2020", "2021"))
DF_Merged_2 =
inner_join(Group_2_2020, Group_2_2021)
DFF_Merged_2 = DF_Merged_2 %>% dplyr::select(Code, Count_2020, Count_2021) %>%
gather(key = Type, value = Value, -Code) %>%
mutate(Type = ifelse(Type == "Count_2020", "2020", "2021"))
# ggplot
ggplot_1 = DFF_Merged_1 %>%
ggplot(aes(x = reorder(Code,Value), y = Value, fill = Type,
text = paste("Count:", Value,
"<br>", "Offense Code:", Code,
"<br>", "Year:", Type))) +
geom_col(position = "dodge", show.legend = FALSE) +
xlab("Offense Code") +
ylab("Count") +
ggtitle("Group 1 in Year 2020 and 2021") +
theme(axis.text=element_text(size=8))
ggplot_2 = DFF_Merged_2 %>%
ggplot(aes(x = reorder(Code,Value), y = Value, fill = Type,
text = paste("Count:", Value,
"<br>", "Offense Code:", Code,
"<br>", "Year:", Type))) +
geom_col(position = "dodge", show.legend = FALSE) +
xlab("Offense Code") +
ylab("Count") +
ggtitle("Group 2 in Year 2020 and 2021") +
theme(axis.text=element_text(size=8))
# Interactive Plots
fig1 = ggplotly(ggplot_1, tooltip = "text")
fig2 = ggplotly(ggplot_2, tooltip = "text")
subplot(fig1, fig2)
)
# Run the application
shinyApp(ui = ui, server = server)
原始数据快照以显示问题
【问题讨论】：
【参考方案1】：height 和 width 参数属于 plotlyOutput，您将其传递给 splitLayout。
试试-
library(shiny)
library(shinydashboard)
library(shinythemes)
library(shinyWidgets)
library(fontawesome)
library(tidyverse)
library(plotly)
ui = navbarPage("Title", theme = shinytheme("spacelab"),
tabPanel("Interactive Plot",
icon = icon("chart-area"),
# Show plots side by side
plotlyOutput(outputId = "Comparison_Plots",
width = "1080px",
height = "1280px")))
# Tell the server how to assemble inputs into outputs
server = function(input, output)
output$Comparison_Plots = renderPlotly(
Group_1_2020 = data.frame(Code = c("A", "B", "C", "AA", "AAA", "AAAA", "BB", "BBB", "BBBB", "CC", "CCC", "CCCC"),
Count_2020 = c(1,2,3,11,111,121,22,222,263,33,333,363))
Group_2_2020 = data.frame(Code = c("D", "E", "F", "DD", "DDD", "DDDD", "EE", "EEE", "EEEE", "FF", "FFF", "FFFF"),
Count_2020 = c(4,5,6,14,24,34,45,55,65,76,86,96))
Group_1_2021 = data.frame(Code = c("A", "B", "C", "AA", "AAA", "AAAA", "BB", "BBB", "BBBB", "CC", "CCC", "CCCC"),
Count_2021 = c(4, 8, 6,14,116,128,42,242,263,43,433,863 ))
Group_2_2021 = data.frame(Code = c("D", "E", "F","DD", "DDD", "DDDD", "EE", "EEE", "EEEE", "FF", "FFF"),
Count_2021 = c(8, 10, 12,44,64,85,105,125,96,46,136))
# Merge Datasets
DF_Merged_1 =
inner_join(Group_1_2020, Group_1_2021)
DFF_Merged_1 = DF_Merged_1 %>% dplyr::select(Code, Count_2020, Count_2021) %>%
gather(key = Type, value = Value, -Code) %>%
mutate(Type = ifelse(Type == "Count_2020", "2020", "2021"))
DF_Merged_2 =
inner_join(Group_2_2020, Group_2_2021)
DFF_Merged_2 = DF_Merged_2 %>% dplyr::select(Code, Count_2020, Count_2021) %>%
gather(key = Type, value = Value, -Code) %>%
mutate(Type = ifelse(Type == "Count_2020", "2020", "2021"))
# ggplot
ggplot_1 = DFF_Merged_1 %>%
ggplot(aes(x = reorder(Code,Value), y = Value, fill = Type,
text = paste("Count:", Value,
"<br>", "Offense Code:", Code,
"<br>", "Year:", Type))) +
geom_col(position = "dodge", show.legend = FALSE) +
xlab("Offense Code") +
ylab("Count") +
ggtitle("Group 1 in Year 2020 and 2021") +
theme(axis.text=element_text(size=8))
ggplot_2 = DFF_Merged_2 %>%
ggplot(aes(x = reorder(Code,Value), y = Value, fill = Type,
text = paste("Count:", Value,
"<br>", "Offense Code:", Code,
"<br>", "Year:", Type))) +
geom_col(position = "dodge", show.legend = FALSE) +
xlab("Offense Code") +
ylab("Count") +
ggtitle("Group 2 in Year 2020 and 2021") +
theme(axis.text=element_text(size=8))
# Interactive Plots
fig1 = ggplotly(ggplot_1, tooltip = "text")
fig2 = ggplotly(ggplot_2, tooltip = "text")
subplot(fig1, fig2)
)
# Run the application
shinyApp(ui = ui, server = server)
【讨论】：
干杯Shah g，你能不能也看看this的问题？以上是关于在 R Shiny 中调整 Plotly::subplot 的高度和宽度的主要内容，如果未能解决你的问题，请参考以下文章