我正在尝试使用 highcharts 创建交互式折线图，并根据分类列(即 CFR_level)更改线条的颜色。
下面是 ggplot(非交互式版本的所需形式)
p1_cfr <- grouped_cases_df %>%
filter(Country.Region %in% top_10) %>%
ggplot(aes(x = Date, y = Confirmed, col = CFR_level, group = Country.Region, label = continent)) +
geom_path()
p1_cfr
问题:当我尝试使用 highcharts 将其转换为交互式绘图时，它不会根据分类变量(即 CFR_level)对线条进行着色，而是而是基于每个 Country.Region
library(tidyverse)
library(highcharter)
grouped_cases_df %>%
filter(Country.Region %in% top_10) %>%
hchart(type = "line", hcaes(x = Date, y = Confirmed, group = Country.Region, color = CFR_level))
如何根据分类变量 CFR_level 为 highchart 中的每行着色？
---------------------------------------------------------------
更新(数据详细信息):
top_10
######### output ##########
[1] "US"
[2] "India"
[3] "Brazil"
[4] "Russia"
[5] "France"
[6] "United Kingdom"
[7] "Italy"
[8] "Turkey"
[9] "Spain"
[10] "Argentina"
grouped_cases_df %>%
filter(Country.Region %in% top_10) %>%
head(n = 30)
####### output #########
Country.Region continent Date Confirmed Deaths Case_Fatality_Ratio CFR_level
<chr> <fct> <date> <int> <int> <dbl> <fct>
1 Argentina Americas 2020-01-22 0 0 0 Low
2 Argentina Americas 2020-01-23 0 0 0 Low
3 Argentina Americas 2020-01-24 0 0 0 Low
4 Argentina Americas 2020-01-25 0 0 0 Low
5 Argentina Americas 2020-01-26 0 0 0 Low
6 Argentina Americas 2020-01-27 0 0 0 Low
7 Argentina Americas 2020-01-28 0 0 0 Low
8 Argentina Americas 2020-01-29 0 0 0 Low
9 Argentina Americas 2020-01-30 0 0 0 Low
10 Argentina Americas 2020-01-31 0 0 0 Low
# ... with 20 more rows
grouped_cases_df %>% str()
####### output #########
tibble [64,176 x 7] (S3: tbl_df/tbl/data.frame)
$ Country.Region : chr [1:64176] "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
$ continent : Factor w/ 6 levels "Africa","Americas",..: 3 3 3 3 3 3 3 3 3 3 ...
$ Date : Date[1:64176], format: "2020-01-22" "2020-01-23" "2020-01-24" ...
$ Confirmed : int [1:64176] 0 0 0 0 0 0 0 0 0 0 ...
$ Deaths : int [1:64176] 0 0 0 0 0 0 0 0 0 0 ...
$ Case_Fatality_Ratio: num [1:64176] 0 0 0 0 0 0 0 0 0 0 ...
$ CFR_level : Factor w/ 3 levels "Low","Med","High": 1 1 1 1 1 1 1 1 1 1 ...
grouped_cases_df %>%
filter(Country.Region %in% top_10) %>%
str()
####### output #########
tibble [3,360 x 7] (S3: tbl_df/tbl/data.frame)
$ Country.Region : chr [1:3360] "Argentina" "Argentina" "Argentina" "Argentina" ...
$ continent : Factor w/ 6 levels "Africa","Americas",..: 2 2 2 2 2 2 2 2 2 2 ...
$ Date : Date[1:3360], format: "2020-01-22" "2020-01-23" "2020-01-24" ...
$ Confirmed : int [1:3360] 0 0 0 0 0 0 0 0 0 0 ...
$ Deaths : int [1:3360] 0 0 0 0 0 0 0 0 0 0 ...
$ Case_Fatality_Ratio: num [1:3360] 0 0 0 0 0 0 0 0 0 0 ...
$ CFR_level : Factor w/ 3 levels "Low","Med","High": 1 1 1 1 1 1 1 1 1 1 ...
grouped_cases_df %>%
filter(Country.Region %in% top_10) %>%
summary()
####### output #########
Country.Region continent Date Confirmed Deaths
Length:3360 Africa : 0 Min. :2020-01-22 Min. : 0 Min. : 0
Class :character Americas:1008 1st Qu.:2020-04-14 1st Qu.: 46875 1st Qu.: 1382
Mode :character Asia : 336 Median :2020-07-07 Median : 283225 Median : 26286
Europe :2016 Mean :2020-07-07 Mean : 1338426 Mean : 39411
Oceania : 0 3rd Qu.:2020-09-29 3rd Qu.: 1344549 3rd Qu.: 41590
Unknown : 0 Max. :2020-12-22 Max. :18230242 Max. :322765
Case_Fatality_Ratio CFR_level
Min. : 0.000 Low : 455
1st Qu.: 1.746 Med : 719
Median : 2.791 High:2186
Mean : 4.722
3rd Qu.: 6.214
Max. :23.835
更新2(回复“coloredline”)
我已经按照您的建议尝试了几种方法，但我不确定为什么会出现空行，即使这些数据点存在于此处
1.
grouped_cases_df %>%
# filtering only couple of countries for simplicity
filter(Country.Region %in% c("France","India")) %>%
hchart(type = "coloredline",
hcaes(x = Date, y = Confirmed, group = Country.Region, segmentColor = CFR_level)) %>%
hc_add_series(name = "Low",
color = "green", marker = list(symbol = "line")) %>%
hc_add_series(name = "Med",
color = "yellow", marker = list(symbol = "line")) %>%
hc_add_series(name = "High",
color = "red", marker = list(symbol = "line")) %>%
hc_add_dependency("plugins/multicolor_series.js")
grouped_cases_df %>%
filter(Country.Region %in% c("France","India")) %>%
hchart(type = "coloredline",
hcaes(x = Date, y = Confirmed, group = Country.Region, segmentColor = CFR_level)) %>%
hc_add_dependency("plugins/multicolor_series.js")
hc_add_series(data = .,) 则会收到错误解决方案更新(感谢@Ben建议)
grouped_cases_df %>%
filter(Country.Region %in% top_10) %>%
mutate(CFR_col = case_when(CFR_level == "Low" ~ "#FFFF00",
CFR_level == "Med" ~ "#008000",
TRUE ~ "#FF0000")
) %>%
hchart(type = "coloredline",
hcaes(x = Date, y = Confirmed, group = Country.Region, segmentColor = CFR_col)) %>%
hc_add_dependency("plugins/multicolor_series.js")
最佳答案
请参阅与 highcharter github 问题类似的问题的简要说明 here .
我正在使用 COVID19 包来获取一些现成的数据以用作说明。我假设将一些国家/地区设置为不同的 CFR_level 值作为示例(这只是为了演示，它们并不反射(reflect)实际的病死率)。
使用hchart使用coloredline和multicolor_series模块，它允许使用单独的segmentColor值(更多info and examples here on plugins and modules)。然后，您可以使用group 的列和segmentColor 的不同列。
此外，我还添加了带有空数据的 hc_add_series 以添加自定义图例。
编辑 (12/24/20):如果您在 hchart 中的 hcaes 中设置 color，您可以获取根据 CFR_level 匹配的工具提示悬停颜色。对于此示例，我将颜色以十六进制等价形式表示(在本例中，CFR_level 是颜色而不是字符值)。
library(tidyverse)
library(highcharter)
library(COVID19)
df <- covid19()
df$CFR_level <- "#008000"
df$CFR_level[df$id == "IND"] <- "#FFFF00"
df$CFR_level[df$id == "USA"] <- "#FF0000"
df %>%
filter(id %in% c("USA", "BRA", "RUS", "IND")) %>%
hchart(type = "coloredline",
hcaes(x = date, y = confirmed, group = id, color = CFR_level, segmentColor = CFR_level),
showInLegend = F) %>%
hc_add_series(name = "Low", color = "#008000", marker = list(symbol = "line")) %>%
hc_add_series(name = "Med", color = "#FFFF00", marker = list(symbol = "line")) %>%
hc_add_series(name = "High", color = "#FF0000", marker = list(symbol = "line")) %>%
hc_add_dependency("plugins/multicolor_series.js")
情节
关于r - 如何根据r中的分类列更改highchart中折线图的颜色？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/65427527/