style_data_condtional - "row_index" won't accept vector of values #608
Description
I am using dashTable 4.0.2 and below is an example of highlighting multiple dashDataTable rows in Dash for R.
library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)
# Load data
data(mtcars)
# Create DashTable
carsDashDT <- dashDataTable(
id = "cars-table",
columns = lapply(colnames(mtcars),
function(colName){
list(
id = colName,
name = colName
)
}),
data = df_to_list(mtcars),
row_selectable = "multi",
)
# App Start ------------------------------
# Initate Application
app <- Dash$new()
# Create Layout ------------------------------
app$layout(
htmlDiv(list(
carsDashDT
))
)
# Callback Start ------------------------------
# Highlight dashTable rows
app$callback(
output(id = "cars-table", property = "style_data_conditional"),
params = list(
input(id = "cars-table", property = "selected_rows")
),
function(rows) {
style_data_conditional <- NULL
for (i in 1:length(rows)) {
rowIndex <- rows[[i]]
style_data_conditional_append = list(list(
"if" = list("row_index" = rowIndex),
"backgroundColor" = "#B0BED9"
))
style_data_conditional <- c(style_data_conditional,
style_data_conditional_append)
}
return(style_data_conditional)
}
)
app$run_server()
The example provided at https://dashr.plot.ly/datatable/style under Conditional Formatting - Highlighting Certain Rows demonstrates how to highlight a single row with a numeric input.
Based on the example provided in the above link, I experimented with multiple different syntax but couldn't achieve highlighting multiple rows without using a loop.
The documentation for dashDataTable > style_data_conditional mentions:
row_index (numeric | a value equal to: 'odd', 'even'; optional)
It seems like row_index is currently limited to accepting single numeric input. It would be very nice to be able to apply conditional styles to multiple rows by feeding a vector/list of values. Rather than the loop in the callback, something similar to:
style_data_conditional_append = list(list(
"if" = list("row_index" = rows)
))
In case I am missing it, I would appreciate if you can provide the correct syntax. Thanks.