r通过悬停模式以图形方式显示x轴值 [英] R Plotly show x-axis value via hoovermode
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问题描述
紧接着question
我希望通过HOVERMODE&QOOT;X&QOOT;看到x值.所以我添加了一个额外的ADD_TRACE,它可以正常工作,但是它用绿色/红色表示,并且希望它用白色
t <- tibble("one" = c(1,2,3,4,5,6,7,8,9),
"two" = c(-5,6,9,-8,7,-1,5,2,1),
"three" = c(2,5,6,9,8,7,8,4,5))
# 'bar' objects don't have these attributes: 'mode', 'line'
Plot <- plot_ly(t, x = ~one, y = ~two, type = 'bar', mode = NULL, line = NULL, name = ~ifelse(two < 0, yes = "two < 0", no = "two > 0"),
color = ~two < 0, colors = c("#28a745", "#dc3545"),
yaxis = 'y2') %>%
add_trace(type = "bar",
x = ~one, y = 0,
hoverinfo='text',
text = ~paste("X:", one),
yaxis = "y", opacity = 0,
showlegend=F
) %>%
add_trace(x = ~one, y = ~three, type = 'scatter', mode = 'lines',
name = "three", line = list(color = "#ffc107"), color = NULL, yaxis = "y") %>%
layout(title = "test",
xaxis = list(titel = "one"),
yaxis = list(side = 'right',
title = 'three',
showgrid = F, zeroline = F,
showline = T),
yaxis2 = list(side = 'left', title = 'two',
showgrid = F, zeroline = F,
showline = T, overlaying = "y"),
hovermode = "x")
推荐答案
我们可以通过为新轨迹定义标记颜色marker = list(color = "#ffffff")
library(plotly)
library(dplyr)
t <- tibble("one" = c(1,2,3,4,5,6,7,8,9),
"two" = c(-5,6,9,-8,7,-1,5,2,1),
"three" = c(2,5,6,9,8,7,8,4,5))
# 'bar' objects don't have these attributes: 'mode', 'line'
Plot <- plot_ly(t, x = ~one, y = ~two, type = 'bar', mode = NULL, line = NULL, name = ~ifelse(two < 0, yes = "two < 0", no = "two > 0"),
color = ~two < 0, colors = c("#28a745", "#dc3545"),
yaxis = 'y2') %>%
add_trace(type = "bar",
x = ~one, y = 0,
hoverinfo='text',
text = ~paste("X:", one),
yaxis = "y", opacity = 0,
showlegend = FALSE,
marker = list(color = "#ffffff")
) %>%
add_trace(x = ~one, y = ~three, type = 'scatter', mode = 'lines',
name = "three", line = list(color = "#ffc107"), color = NULL, yaxis = "y") %>%
layout(title = "test",
xaxis = list(titel = "one"),
yaxis = list(side = 'right',
title = 'three',
showgrid = F, zeroline = F,
showline = T),
yaxis2 = list(side = 'left', title = 'two',
showgrid = F, zeroline = F,
showline = T, overlaying = "y"),
hovermode = "x")
Plot
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