R:将Plotly悬停模式设置为“比较悬停时的数据". [英] R: Set Plotly hovermode to "compare data on hover"

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问题描述

我正在尝试使用Plotly软件包作为Shiny应用程序的一部分在R中创建堆积面积图,并希望比较悬停时的数据.但是,由于设计原因,我隐藏了模式栏,因此我需要在代码中声明此选项,因为当前仅将悬停显示为最接近光标的数据点.

I am trying to create a stacked area chart in R using the Plotly package as part of a Shiny app and would like to compare the data on hover. However, I am hiding the mode bar for design reasons, so I need to declare this option in my code as currently the hover is only shown for the closest data point to the cursor.

但是,用于R参考的图仅给出选项"x"(x上的工具提示-轴),"y"(y轴上的工具提示),最近"(显示与光标最近的数据点的工具提示)和FALSE(禁用工具提示).

However, the Plotly for R reference only gives the options "x" (tooltip on the x-axis), "y" (tooltip on the y axis), "closest" (shows the tooltip for the closest data point to the cursor) and FALSE (disables the tooltip).

有没有一种方法可以做我想做的事情?请注意,这个问题与这个问题完全相反.

Is there a way to do what I would like? Note that this question is pretty much the complete opposite of this one.

我正在使用的代码是:

plot_ly(data2, 
        x = ~Year,
        y = ~B, 
        name = 'In-centre', 
        type = 'scatter', 
        mode = 'none', 
        fill = 'tozeroy', 
        fillcolor = '#F5FF8D', 
        hoverinfo = 'y') %>%
add_trace(y = ~A, 
          name = 'At home', 
          fillcolor = '#50CB86', 
          hoverinfo = 'y') %>% 
layout(xaxis = list(title = "", 
                    showgrid = FALSE, 
                    tickangle = 270, 
                    dtick = 1, 
                    tickfont = list(size = 11)),
       yaxis = list(title = "", 
                    ticklen = 8, 
                    tickcolor = "#EEEEEE", 
                    range = c(-2, 101), 
                    tick0 = 0, 
                    dtick = 10, 
                    tickfont = list(size = 11)),
       showlegend = TRUE,
       legend = list(x = 0, 
                     y = -0.2, 
                     orientation = "h", 
                     traceorder = "normal"),
        margin = list(t = 25, b = 50, r = 10, l = 40)) %>% 
config(displayModeBar = FALSE)

其中data2(的简化版本)为:

where a (simplified version of) data2 is:

Year   A      B
2006   18.0   82.0
2007   19.2   78.3
2008   17.9   80.2
2009   20.1   77.7

推荐答案

在您的代码中添加layout(hovermode = 'compare'):

data2 <- read.table(text="
Year   A      B
2006   18.0   82.0
2007   19.2   78.3
2008   17.9   80.2
2009   20.1   77.7
", header=T)

library(plotly)
library(dplyr)
plot_ly(data2, 
        x = ~Year,
        y = ~B, 
        name = 'In-centre', 
        type = 'scatter', 
        mode = 'none', 
        fill = 'tozeroy', 
        fillcolor = '#F5FF8D', 
        hoverinfo = 'y') %>%
add_trace(y = ~A, 
          name = 'At home', 
          fillcolor = '#50CB86', 
          hoverinfo = 'y') %>% 
layout(xaxis = list(title = "", 
                    showgrid = FALSE, 
                    tickangle = 270, 
                    dtick = 1, 
                    tickfont = list(size = 11)),
       yaxis = list(title = "", 
                    ticklen = 8, 
                    tickcolor = "#EEEEEE", 
                    range = c(-2, 101), 
                    tick0 = 0, 
                    dtick = 10, 
                    tickfont = list(size = 11)),
       showlegend = TRUE,
       legend = list(x = 0, 
                     y = -0.2, 
                     orientation = "h", 
                     traceorder = "normal"),
        margin = list(t = 25, b = 50, r = 10, l = 40)) %>% 
config(displayModeBar = FALSE) %>%
layout(hovermode = 'compare')

编辑 @OctavianCorlade给我发送了有关上述解决方案的重要说明:"以前提供的答案有效,只是因为任何与可用选项不同的字符串都将产生相同的结果.hovermode = 'x'是记录此文件的方法,可以实现完全相同的结果".
因此,根据@OctavianCorlade的建议,可以使用:

EDIT @OctavianCorlade sent me an important note about the solution given above: "The previously provided answer works, simply because any string different than the available options would produce the same result. hovermode = 'x' is the documented way to do it, achieving the exact same result".
Hence, according to the suggestion of @OctavianCorlade, one can use:

layout(hovermode = 'x')

这篇关于R:将Plotly悬停模式设置为“比较悬停时的数据".的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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