以情節方式更改子圖中的 y 限制

Question

我正在使用 plotly 庫來繪制一系列共享公共 x 軸的圖形。 縮放子圖函數下的文檔中顯示了一個示例 - https://plotly.com/r/subplots/

有沒有辦法改變每個單獨地塊的 y 限制？ 這是我的例子

library(plotly)

data <- data.frame("Time" = 1:100, "y1" = rnorm(100), "y2" = rnorm(100))

df <- data %>% 
  tidyr::gather(variable, value, -Time) %>%
  transform(id = as.integer(factor(variable))) 

 df$variable <- factor( df$variable, levels = unique( df$variable))

  p <- plot_ly(data = df,x = ~Time, y = ~value, color = ~variable, colors = "Dark2",
          yaxis = ~paste0( "y",sort(id, decreasing = F))
          ) %>%
    add_lines() %>% 
    plotly::subplot(nrows = length(unique(df$variable)), shareX = TRUE)
  
  p

在上面的代碼中，如何將 y2 的 yaxis 限制從 -10 更改為 10？

Answer 1

您只需添加一個layout -layer 並使用yaxis2參數定義第二個繪圖的yaxis2 。

data <- data.frame("Time" = 1:100, "y1" = rnorm(100), "y2" = rnorm(100))

df <- data %>% 
  tidyr::gather(variable, value, -Time) %>%
  transform(id = as.integer(factor(variable))) 

df$variable <- factor( df$variable, levels = unique( df$variable))

p <- plot_ly(data = df,x = ~Time, y = ~value, color = ~variable, colors = "Dark2",
             yaxis = ~paste0( "y",sort(id, decreasing = F))
) %>%
  add_lines() %>% 
  plotly::subplot(nrows = length(unique(df$variable)), shareX = TRUE)

p %>%
  layout(yaxis2 = list(range = c(-10,10)))