我想创建一个条形图
(使用plotly
包),它(在几个月内)会有红色水平线
(增益获得)。我希望下面的图能够更准确地显示我的问题。
获取第一个图所需的代码和数据:
library("plotly")
library("dplyr")
data.frame(miesiac_label = as.character(as.roman(c(1:12))),
miesiac = c(1:12),
ile = c(12000, 12100, 11100, 12000, 12000, 11900, 12200, 12100, 6000, 12100, 12100, 12100),
gain = c(rep(NA, 7), 11000, 12000, 12000, 12000, 12000)) -> dane
dane$miesiac_label <- factor(dane$miesiac_label, levels = dane[["miesiac_label"]])
plot_ly(dane) %>%
add_trace(x = ~miesiac_label, y = ~ile,
type = 'bar', marker = list(color = '#99d3df')) %>%
add_trace(x = ~miesiac_label, y = ~gain, name = 'Gain',
type = "scatter", mode='lines+markers', marker = list(color = 'red'),
line = list(color = 'red'))
我认为我应该有一个连续的比例来做到这一点,之后只需更改x轴标签
,但我不知道如何更改这些标签(我试图找到它当然,首先是在谷歌中)...
非常感谢您的帮助!
最佳答案
类似的东西对你有用吗?您可以调整 add_segments
中的数字。
a <- list(
title = "miesiac_label",
showticklabels = TRUE,
tickmode= "array",
ticktext = as.character(as.roman(c(1:12))),
tickvals = c(1:12)
)
plot_ly(dane) %>%
add_bars(x = ~miesiac, y = ~ile) %>%
add_segments(x = 7.5, xend = 8.5, y = 10000, yend = ~10000, line = list(dash = "dash")) %>%
add_segments(x = 8.5, xend = 12.5, y = 12000, yend = ~12000, line = list(dash = "dash")) %>%
layout(showlegend = FALSE, xaxis = a)
关于r - 当 x 轴离散时,R 中的水平线,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/40995621/