问题
I want to use DT's formatStyle()
to give a colour gradient per row.
Given this sample data:
library(DT)
data <- round(data.frame(
x = runif(5, 0, 5),
y = runif(5, 0, 10),
z = runif(5, 0, 20)
), 3)
break_points <- function(x) stats::quantile(x, probs = seq(.05, .95, .05), na.rm = TRUE)
red_shade <- function(x) round(seq(255, 40, length.out = length(x) + 1), 0) %>% {paste0("rgb(255,", ., ",", ., ")")}
I can colour the cell backgrounds based on values in the entire table using this code:
brks <- break_points(data)
clrs <- red_shade(brks)
datatable(data) %>% formatStyle(names(data), backgroundColor = styleInterval(brks, clrs))
Or I can colour the cell background based on values per column with this code:
brks <- apply(data, 2, break_points)
clrs <- apply(brks, 2, red_shade)
dt <- datatable(data)
for(i in colnames(data)){
dt <- dt %>% formatStyle(i, backgroundColor = styleInterval(brks[,i], clrs[,i]))
}
dt
But I'm not sure what's the simplest cleanest solution to do so per row, so that in each row the highest value is darkest and the lower value is lightest.
回答1:
With a rowCallback:
library(DT)
data <- round(data.frame(
x = runif(10, 0, 5),
y = runif(10, 0, 10),
z = runif(10, 0, 20)
), 3)
break_points <- function(x) stats::quantile(x, probs = seq(.05, .95, .05), na.rm = TRUE)
red_shade <- function(x) round(seq(255, 40, length.out = length(x) + 1), 0) %>% {paste0("rgb(255,", ., ",", ., ")")}
brks <- apply(data, 1, break_points)
clrs <- apply(brks, 2, red_shade)
rowCallback <- "function(row, data, displayNum, index){"
for(i in 1:ncol(data)){
rowCallback <- c(
rowCallback,
sprintf("var value = data[%d];", i)
)
for(j in 1:nrow(data)){
rowCallback <- c(
rowCallback,
sprintf("if(index === %d){", j-1),
sprintf("$('td:eq(%d)',row).css('background-color', %s);",
i, styleInterval(brks[,j], clrs[,j])),
"}"
)
}
}
rowCallback <- c(rowCallback, "}")
datatable(data, options = list(rowCallback = JS(rowCallback)))
来源:https://stackoverflow.com/questions/56510075/how-to-format-dt-background-per-row