多y轴图表，在R中绘制
在Plotly for Python中，我们有一个漂亮的多y轴示例： 下面是代码的示例 我尝试使用以下代码对R中的Plotly执行相同的操作：多y轴图表，在R中绘制,r,plotly,R,Plotly,在Plotly for Python中，我们有一个漂亮的多y轴示例： 下面是代码的示例 我尝试使用以下代码对R中的Plotly执行相同的操作： library(plotly) x <- 1:4 y1 <- c(1,2,3,4) y2 <- c(4,3,2,1) y3 <- c(1,4,1,4) y4 <- c(4,1,4,1) test <- data.frame(x, y1, y2, y3, y4) plot_ly(data = test, x =
library(plotly)
x <- 1:4
y1 <- c(1,2,3,4)
y2 <- c(4,3,2,1)
y3 <- c(1,4,1,4)
y4 <- c(4,1,4,1)
test <- data.frame(x, y1, y2, y3, y4)
plot_ly(data = test, x = ~x, y = ~y1
,type = "scatter", mode = "lines", width = 800, color = I("red")
,name = "name01") %>%
add_trace(x = ~x, y = ~y2, yaxis = "y2", color = I("blue"), name = "name02") %>%
add_trace(x = ~x, y = ~y3, yaxis = "y3", color = I("purple"), name = "name03") %>%
add_trace(x = ~x, y = ~y4, yaxis = "y4", color = I("green"), name = "name04") %>%
layout(
yaxis = list(
showline = FALSE, side = "left"
,title = "Label 1"
,color = "red"
)
,yaxis2 = list(
showline = FALSE
,overlaying = "y"
,title = "Label 2", anchor = "free"
,color = "blue"
)
,yaxis3 = list(
showline = FALSE, side = "right", overlaying = "y"
,title = "Label 3"
,color = "purple"
)
,yaxis4 = list(
showline = FALSE, side = "right", overlaying = "y", position = 1
,title = "Label 4", anchor = "free"
,color = "green"
)
,xaxis = list(
showline = FALSE, zeroline = FALSE, dtick = 1, title = ""
)
,showlegend = FALSE
,margin = list(
pad = 30, b = 90, l = 150, r = 90
)
,legend = list(orientation = "h")
)
library（plotly）
x尝试调整layout（）
的margin
参数的padding（pad
）值
对于其他参数，我发现最好使用pad=49
基于此讨论，您还可以使用xaxis=list（domain=c（0.9））
限制x轴的范围，以便为其他y轴留出更多空间。然后，可以使用位置
放置y轴。在这种情况下，位置将介于0.9和1之间。