我试图在plotly
的{{1}}函数中为每个图形提供单独的标题,但我发现了一个帖子,您可以在其中使用subplot
扩展子图,但是我想就像每个图的标题一样(我使用的是%>% layout(title = "Main Title)
,但仅绘制了提供的最后一个标题(图4)。我发现了类似的帖子Provide title to each of the subplots - R Shiny,但我不认为我可以{{ 1}}。
此外-我想知道如何在子图中增加图之间的边距,因为它们似乎真的被挤压在一起了。
任何帮助表示赞赏!
ggtitle
答案 0 :(得分:1)
如@Edo子图标题所提到的,是关于R的api的open issue。当前,我们需要使用注释。这是official example。
user@libserver.libsoft.in /$ python3.8 -V
Python 3.8.0
user@libserver.libsoft.in /$ which python3.8
/usr/local/bin/python3.8
user@libserver.libsoft.in /$ python3.8 -m venv /home/LPython/my_env
user@libserver.libsoft.in /$ cd /home/LPython/my_env
user@libserver.libsoft.in /home/LPython/my_env$ source bin/activate
函数为我们提供了一个参数subplot
,以增加一些空间。
margin
通过这种方式,您可以使用library(shiny)
library(plotly)
ui <- fluidPage(
sidebarPanel("This is a sidebar"),
mainPanel(plotlyOutput("myplot"))
)
server <- function(input, output, session){
output$myplot <- renderPlotly({
gg1 <- ggplotly(
ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width)) +
geom_point() +
theme_minimal()
) %>% add_annotations(
text = "Plot 1",
x = 0,
y = 1,
yref = "paper",
xref = "paper",
xanchor = "left",
yanchor = "top",
yshift = 20,
showarrow = FALSE,
font = list(size = 15)
)
gg2 <- ggplotly(
ggplot(iris, aes(x=Species, y=Sepal.Length)) +
geom_boxplot() +
theme_minimal()
) %>% add_annotations(
text = "Plot 2",
x = 0,
y = 1,
yref = "paper",
xref = "paper",
xanchor = "left",
yanchor = "top",
yshift = 20,
showarrow = FALSE,
font = list(size = 15)
)
gg3 <- ggplotly(
ggplot(iris, aes(x=Petal.Width)) +
geom_histogram()
) %>% add_annotations(
text = "Plot 3",
x = 0,
y = 1,
yref = "paper",
xref = "paper",
xanchor = "left",
yanchor = "top",
yshift = 20,
showarrow = FALSE,
font = list(size = 15)
)
gg4 <- ggplotly(
ggplot(iris, aes(x=Petal.Length)) +
geom_histogram()
) %>% add_annotations(
text = "Plot 4",
x = 0,
y = 1,
yref = "paper",
xref = "paper",
xanchor = "left",
yanchor = "top",
yshift = 20,
showarrow = FALSE,
font = list(size = 15)
)
subplot(list(gg1,gg2,gg3,gg4), nrows = 2, margin = 0.06)
})
}
shinyApp(ui = ui, server = server)
浏览plotly的属性。