我有以下功能:
library(highcharter)
hchart(
newdata,
"bar",
hcaes(
x = Gender,
group = is_churner,
y = Percent,
label = Nominal,
color = color
)
) %>%
hc_title(text = "") %>%
hc_yAxis(
title = list(text = ""),
labels = list(format = "{value}")
) %>%
hc_xAxis(title = list(text = "")) %>%
hc_tooltip(
pointFormat = "
Percent: {point.y:,.0f}%<br>
Nominal: {point.label:,.0f}<br>"
)
该函数采用如下数据帧:
newdata <- data.frame(
Gender = c(rep("Female", 2), rep("Male", 2)),
is_churner = c("Active", "Churner", "Active", "Churner"),
Nominal = c(7267L, 933L, 9767L, 1313L),
Percent = c(42.7, 41.5, 57.3, 58.5),
color = c("green", "red", "green", "red")
) %>%
dplyr::group_by(is_churner)
其中一列 - 颜色应该映射到hchart函数的颜色参数。据我所知,这是以前的工作。
然而,现在,我得到了一个非常丑陋的图表。
条形的颜色都不对应于颜色列,下面的图例(颜色代表的颜色)也相应地着色。
我究竟做错了什么?
我相信颜色必须在hcaes
之外单独调用,但你的方法似乎更直观/更明智,所以很遗憾它不起作用。以下作品:
hchart(
newdata,
"bar",
hcaes(
x = Gender,
group = is_churner,
y = Percent,
label = Nominal
), color = c("green", "red")
) %>%
hc_title(text = "") %>%
hc_yAxis(
title = list(text = ""),
labels = list(format = "{value}")
) %>%
hc_xAxis(title = list(text = "")) %>%
hc_tooltip(
pointFormat = "
Percent: {point.y:,.0f}%<br>
Nominal: {point.label:,.0f}<br>"
)
以下也有效:
hchart(
newdata,
"bar",
hcaes(
x = Gender,
group = is_churner,
y = Percent,
label = Nominal
)
) %>%
hc_title(text = "") %>%
hc_yAxis(
title = list(text = ""),
labels = list(format = "{value}")
) %>%
hc_xAxis(title = list(text = "")) %>%
hc_tooltip(
pointFormat = "
Percent: {point.y:,.0f}%<br>
Nominal: {point.label:,.0f}<br>"
) %>%
hc_colors(c("green", "red"))
我从hcaes
删除了颜色,然后将其添加到hc_colors
。
我有同样的问题,在我的情况下,我发现我的css文件否决了我在hchart
颜色中指定的颜色。
当我删除css文件中的相关行时,color命令以您最初指定的方式工作。你不需要在hcaes
之外单独调用它。