我具有以下功能:
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框:
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color参数。据我记得,这曾经是可行的。
但是,现在,我得到了一个非常丑陋的图表。
条形图的颜色都不对应于颜色列,下面的图例(颜色代表的颜色)也没有相应地着色。
我在做什么错?
答案 0 :(得分:1)
我认为必须在hcaes
之外单独调用颜色,但是您的方法似乎更直观/更明智,因此感到遗憾,这是行不通的。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>"
)
以下内容也适用:
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"))
我已经从hcaes
中删除了颜色,并将其添加到了hc_colors
中。
答案 1 :(得分:0)
我遇到了同样的问题,就我而言,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命令确实按照您最初指定的方式工作。您无需在hcaes
外单独调用它。