如何在 R 中為 Plotly 子圖添加圖邊界？

Question

我正在嘗試制作具有共享軸的繪圖網格，並且我希望每個子圖都有繪圖邊框（對於整個繪圖區域而不是有邊框，這是可以接受的，但不是理想的）。 我無法完成這項工作，結果讓我覺得這在 Plotly 中可能是不可能的。 以下是我嘗試過的三種變體以及結果。

    library(plotly)
    library(magrittr)

    set.seed(0)
    x <- seq(from=0, to=9, by=1)
    y1 <- rnorm(10)
    y2 <- rnorm(10)
    y3 <- rnorm(10)
    y4 <- rnorm(10)

    # Attempt 1
    p1 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y1)

    p2 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y2)

    p3 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y3)

    p4 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y4)

    p <- subplot(p1, p2, p3, p4,
                 nrows = 2, shareX = TRUE, shareY = TRUE) %>%
      layout(title='Attempt 1', xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

    # Attempt 2
    p1 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y1) %>%
      layout(xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

    p2 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y2) %>%
      layout(xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

    p3 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y3) %>%
      layout(xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

    p4 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y4) %>%
      layout(xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

    p <- subplot(p1, p2, p3, p4,
                 nrows = 2, shareX = TRUE, shareY = TRUE) %>%
      layout(title='Attempt 2')

    # Attempt 3
    p1 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y1) %>%
      layout(xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

    p2 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y2) %>%
      layout(xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

    p3 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y3) %>%
      layout(xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

    p4 <- plot_ly(showlegend=FALSE) %>%
      add_markers(x = x, y = y4) %>%
      layout(xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

    p <- subplot(p1, p2, p3, p4,
                 nrows = 2, shareX = TRUE, shareY = TRUE) %>%
      layout(title='Attempt 3', xaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'),
             yaxis = list(showline = TRUE, mirror = TRUE, linecolor = 'black'))

Answer 1

如果您在布局屬性中為每個圖指定相同的range ，則您的各個邊界線將被保留。

以下是我建議如何定義您的范圍：

#find the max and min Y, which you will use as your range values
your_Ys<-c(y1,y2,y3,y4)
max_y<-ceiling(max(your_Ys))
min_y<-floor(min(your_Ys))

我沒有在每個圖中制作屬性列表，而是在此處定義 x 和 Y 屬性：

#These are the layout attributes for Y
ay <- list(
  showline = TRUE,
  mirror = "ticks",
  linecolor = toRGB("black"),
  linewidth = 2,
  range = c(min_y, max_y)
)

#These are the layout attributes for X
ax <- list(
  showline = TRUE,
  mirror = "ticks",
  linecolor = toRGB("black"),
  linewidth = 2,
  range = c(-1, 10)
)

現在是時候把它們放在一起了。

p1 <- plot_ly(showlegend=FALSE) %>%
  add_markers(x = x, y = y1)  %>% layout( xaxis = ax, yaxis = ay)

p2 <- plot_ly(showlegend=FALSE) %>%
  add_markers(x = x, y = y2)  %>% layout( xaxis = ax, yaxis = ay)

p3 <- plot_ly(showlegend=FALSE)%>%
  add_markers(x = x, y = y3) %>%layout( xaxis = ax, yaxis = ay)

p4 <- plot_ly(showlegend=FALSE) %>%
  add_markers(x = x, y = y4)%>% layout( xaxis = ax, yaxis = ay)

p <- subplot(p1, p2, p3, p4,
             nrows = 2, shareX = FALSE, shareY = FALSE) %>%
  layout(title='Tada!')
p

Answer 2

我敢肯定有人會為您提供一個純粹的plotly解決方案，但這是我們制作ggplot對象，然后轉換為plotly的解決方案

library(plotly)
library(tidyverse)

set.seed(0)
x <- seq(from=0, to=9, by=1)
y1 <- rnorm(10)
y2 <- rnorm(10)
y3 <- rnorm(10)
y4 <- rnorm(10)

p1 <- 
  {ggplot(tibble(x, y1), aes(x,y1))+
  geom_point(color = "blue")+
  labs(x='', y='')+
  theme_bw()+
  theme(panel.border = element_rect(color = "black"))} %>%
  ggplotly()

p2 <- 
  {ggplot(tibble(x, y2), aes(x,y2))+
  geom_point(color = "orange")+
  labs(x='', y='')+
  theme_bw()+
  theme(panel.border = element_rect(color = "black"))} %>%
  ggplotly()

p3 <- 
  {ggplot(tibble(x, y3), aes(x,y3))+
  geom_point(color = "green")+
  labs(x='', y='')+
  theme_bw()+
  theme(panel.border = element_rect(color = "black"))} %>%
  ggplotly()

p4 <- 
  {ggplot(tibble(x, y4), aes(x,y4))+
  geom_point(color = "red")+
  labs(x='', y='')+
  theme_bw()+
  theme(panel.border = element_rect(color = "black"))} %>%
  ggplotly()


subplot(p1, p2, p3, p4,nrows = 2, shareX = TRUE, shareY = TRUE)

Answer 3

設置 shareX 和 shareY = FALSE 以保留邊框。

注意，如果您在 SEAnalyst 提供的代碼中也設置了 shareX 或 shareY = TRUE，您將看到一些邊框也沒有保留。