问题
I'd like to create a heat map using the highercharter
package and the open source gapminder
dataset in R. However, I'm having difficulty creating an axis with grouped labels. Here is some code on creating a heat map from the highcharter
documentation:
nyears <- 5
df <- expand.grid(seq(12) - 1, seq(nyears) - 1)
df$value <- abs(seq(nrow(df)) + 10 * rnorm(nrow(df))) + 10
df$value <- round(df$value, 2)
ds <- list_parse2(df)
hc <- highchart() %>%
hc_chart(type = "heatmap") %>%
hc_title(text = "Simulated values by years and months") %>%
hc_xAxis(categories = month.abb) %>%
hc_yAxis(categories = 2016 - nyears + seq(nyears)) %>%
hc_add_series(name = "value", data = ds)
hc_colorAxis(hc, minColor = "#FFFFFF", maxColor = "#434348")
Now, let's say I have the following data:
for (package in c('tidyverse', 'gapminder')) {
if (!require(package, character.only=T, quietly=T)) {
install.packages(package)
library(package, character.only=T)
}
}
data(gapminder)
gapminder <- select(gapminder, continent, country, year, gdpPercap)
And here is my attempt:
gapminder <- select(gapminder, continent, country, year, gdpPercap)
gs <- list_parse2(gapminder)
categories_grouped <- gapminder %>%
group_by(name = continent) %>%
do(categories = array(.$country)) %>%
list_parse()
highchart() %>%
hc_chart(type = "heatmap") %>%
hc_xAxis(categories = categories_grouped) %>%
hc_yAxis(categories = gapminder$year) %>%
hc_add_series(name = 'gdpPercap', data = gs)
Any idea of where I'm going wrong?
回答1:
I guess you started your code with this example. Two things about the categories_grouped list,
you need a 1-to-1 mapping, no redundancies, if you looked at the example, it started off from a dataframe of distinct class manufacturer.
the sub elements of the list has to be named "name" and "categories"
So first I select randomly 20 countries to plot, so that it can be seen clearly:
library(gapminder)
library(highcharter)
library(dplyr)
set.seed(100)
x_country = sample(gapminder$country,20)
dat<- select(gapminder, continent, country, year, gdpPercap) %>%
filter(country %in% x_country)
dat=droplevels(dat)
Now I create the categories grouped for the grouped x-axis:
categories_grouped <- dat %>%
distinct(continent,country) %>%
rename( name =continent) %>%
group_by(name) %>%
do(categories = .$country) %>%
list_parse()
Now I plot, I seldom used a list, so I go with the setting below, should be ok:
hc <-highchart() %>%
hc_yAxis(categories = dat$year) %>%
hc_xAxis(categories = categories_grouped) %>%
hc_add_series(data = dat,type = 'heatmap',hcaes(x=country,y=factor(year),value=gdpPercap))
hc_colorAxis(hc, minColor = "#FFFFFF", maxColor = "#434348")
来源:https://stackoverflow.com/questions/60780609/grouped-categories-for-a-highcharter-heatmap-in-r