问题
I have two dataframes; markets is the parent row and mix_breakout is the child table. Each parent row has their own unique child table. I am trying to only have the mix_breakout data that is unique to the parent markets show up in the nested table. For example, the parent row that has the market ABILENE-SWEETWATER should only show data from the same market in mix_breakout.
There also can be an arbitrary number of market / mix_breakout here. This example shows 2 combos, but there can be up to 50 or so.
This is what I have so far.
Data
Parent
structure(list(Market = c("ABILENE-SWEETWATER", "ALBANY-SCHENECTADY-TROY, NY"
), `Gross CPP` = c("$24.65", "$99.05"), `Gross CPM` = c("$12.98",
"$10.34"), `Historical Composite Gross CPP (if applicable)` = c("$0",
"$0"), `Historical Composite Gross CPM (if applicable)` = c("$0",
"$0")), .Names = c("Market", "Gross CPP", "Gross CPM", "Historical Composite Gross CPP (if applicable)",
"Historical Composite Gross CPM (if applicable)"), row.names = c(NA,
-2L), class = "data.frame")
Child
structure(list(Market = c("ABILENE-SWEETWATER", "ABILENE-SWEETWATER",
"ABILENE-SWEETWATER", "ABILENE-SWEETWATER", "ABILENE-SWEETWATER",
"ABILENE-SWEETWATER", "ABILENE-SWEETWATER", "ABILENE-SWEETWATER",
"ALBANY-SCHENECTADY-TROY, NY", "ALBANY-SCHENECTADY-TROY, NY",
"ALBANY-SCHENECTADY-TROY, NY", "ALBANY-SCHENECTADY-TROY, NY",
"ALBANY-SCHENECTADY-TROY, NY", "ALBANY-SCHENECTADY-TROY, NY",
"ALBANY-SCHENECTADY-TROY, NY", "ALBANY-SCHENECTADY-TROY, NY"),
Daypart = c("Daytime", "Early Fringe", "Early Morning", "Early News",
"Late Fringe", "Late News", "Prime Access", "Prime Time",
"Daytime", "Early Fringe", "Early Morning", "Early News",
"Late Fringe", "Late News", "Prime Access", "Prime Time"),
`Share (%)` = c(15, 15, 15, 15, 10, 10, 10, 10, 15, 15, 15,
15, 10, 10, 10, 10), `Spot:30 (%)` = c(15, 15, 15, 15, 10,
10, 10, 10, 15, 15, 15, 15, 10, 10, 10, 10), `Gross CPP ($)` = c(0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), `Gross CPM ($)` = c(18,
18, 16, 23, 24, 40, 26, 44, 77, 71, 61, 78, 109, 145, 93,
213), GrossCPM = c(1.57, 1.57, 1.39, 2, 2.09, 3.49, 2.27,
3.83, 6.71, 6.19, 5.32, 6.8, 9.5, 12.63, 8.1, 18.56)), .Names = c("Market",
"Daypart", "Share (%)", "Spot:30 (%)", "Gross CPP ($)", "Gross CPM ($)",
"GrossCPM"), row.names = c(NA, -16L), class = "data.frame")
Code
# The datatable callback
parentRows <- which(Dat[,1] != "")
callback_js = JS(
"function onUpdate(updatedCell, updatedRow, oldValue) {};",
sprintf("var parentRows = [%s];", toString(parentRows-1)),
sprintf("var j0 = %d;", colIdx),
"var nrows = table.rows().count();",
"for(var i=0; i < nrows; ++i){",
" if(parentRows.indexOf(i) > -1){",
" table.cell(i,j0).nodes().to$().css({cursor: 'pointer'});",
" }else{",
" table.cell(i,j0).nodes().to$().removeClass('details-control');",
" }",
"}",
"",
"// make the table header of the nested table",
"var format = function(d, childId){",
" if(d != null){",
" var html = ",
" '<table class=\"display compact hover\" ' + ",
" 'style=\"padding-left: 30px;\" id=\"' + childId + '\"><thead><tr>';",
" for(var key in d[d.length-1][0]){",
" html += '<th>' + key + '</th>';",
" }",
" html += '</tr></thead><tfoot><tr>'",
" for(var key in d[d.length-1][0]){",
" html += '<th></th>';",
" }",
" return html + '</tr></tfoot></table>';",
" } else {",
" return '';",
" }",
"};",
"",
"// row callback to style the rows of the child tables",
"var rowCallback = function(row, dat, displayNum, index){",
" if($(row).hasClass('odd')){",
" $(row).css('background-color', 'white');",
" $(row).hover(function(){",
" $(this).css('background-color', 'lightgreen');",
" }, function() {",
" $(this).css('background-color', 'white');",
" });",
" } else {",
" $(row).css('background-color', 'white');",
" $(row).hover(function(){",
" $(this).css('background-color', 'lightblue');",
" }, function() {",
" $(this).css('background-color', 'white');",
" });",
" }",
"};",
"",
"// header callback to style the header of the child tables",
"var headerCallback = function(thead, data, start, end, display){",
" $('th', thead).css({",
" 'border-top': '3px solid green',",
" 'color': 'black',",
" 'background-color': 'white'",
" });",
"};",
"",
"// make the datatable",
"var format_datatable = function(d, childId, rowIdx){",
" // footer callback to display the totals",
" // and update the parent row",
" var footerCallback = function(tfoot, data, start, end, display){",
" $('th', tfoot).css('background-color', '#fed8b1');",
" var api = this.api();",
" api.columns().eq(0).each(function(index){",
" if(index == 0) return $(api.column(index).footer()).html('Total');",
" var coldata = api.column(index).data();",
" var total = coldata",
" .reduce(function(a, b){return parseFloat(a) + parseFloat(b)}, 0);",
" if(index == 4 || index == 5) {",
" $(api.column(index).footer()).html((total / coldata.count()).toFixed(2));",
" } else {",
" $(api.column(index).footer()).html(total);",
" }",
" })",
" var col_share = api.column(1).data();",
" var col_CPP = api.column(4).data();",
" var col_CPM = api.column(5).data();",
" var CPP = 0, CPM = 0;",
" for(var i = 0; i < col_share.length; i++){",
" CPP += (parseFloat(col_share[i])*parseFloat(col_CPP[i]).toFixed(2));",
" CPM += (parseFloat(col_share[i])*parseFloat(col_CPM[i]).toFixed(2));",
" }",
" table.cell(rowIdx, j0+2).data((CPP/100).toFixed(2));",
" table.cell(rowIdx, j0+3).data((CPM/100).toFixed(2));",
" }",
" var dataset = [];",
" var n = d.length - 1;",
" for(var i = 0; i < d[n].length; i++){",
" var datarow = $.map(d[n][i], function (value, index) {",
" return [value];",
" });",
" dataset.push(datarow);",
" }",
" var id = 'table#' + childId;",
" if (Object.keys(d[n][0]).indexOf('_details') === -1) {",
" var subtable = $(id).DataTable({",
" 'data': dataset,",
" 'autoWidth': true,",
" 'deferRender': true,",
" 'info': false,",
" 'lengthChange': false,",
" 'ordering': d[n].length > 1,",
" 'order': [],",
" 'paging': false,",
" 'scrollX': false,",
" 'scrollY': false,",
" 'searching': false,",
" 'sortClasses': false,",
" 'rowCallback': rowCallback,",
" 'headerCallback': headerCallback,",
" 'footerCallback': footerCallback,",
" 'columnDefs': [{targets: '_all', className: 'dt-center'}]",
" });",
" } else {",
" var subtable = $(id).DataTable({",
" 'data': dataset,",
" 'autoWidth': true,",
" 'deferRender': true,",
" 'info': false,",
" 'lengthChange': false,",
" 'ordering': d[n].length > 1,",
" 'order': [],",
" 'paging': false,",
" 'scrollX': false,",
" 'scrollY': false,",
" 'searching': false,",
" 'sortClasses': false,",
" 'rowCallback': rowCallback,",
" 'headerCallback': headerCallback,",
" 'footerCallback': footerCallback,",
" 'columnDefs': [",
" {targets: -1, visible: false},",
" {targets: 0, orderable: false, className: 'details-control'},",
" {targets: '_all', className: 'dt-center'}",
" ]",
" }).column(0).nodes().to$().css({cursor: 'pointer'});",
" }",
" subtable.MakeCellsEditable({",
" onUpdate: onUpdate,",
" inputCss: 'my-input-class',",
" columns: [2],",
" confirmationButton: {",
" confirmCss: 'my-confirm-class',",
" cancelCss: 'my-cancel-class'",
" }",
" });",
"};",
"",
"// display the child table on click",
"table.on('click', 'td.details-control', function(){",
" var tbl = $(this).closest('table'),",
" tblId = tbl.attr('id'),",
" td = $(this),",
" row = $(tbl).DataTable().row(td.closest('tr')),",
" rowIdx = row.index();",
" if(row.child.isShown()){",
" row.child.hide();",
" td.html('⊕');",
" } else {",
" var childId = tblId + '-child-' + rowIdx;",
" row.child(format(row.data(), childId)).show();",
" td.html('⊖');",
" format_datatable(row.data(), childId, rowIdx);",
" }",
"});")
# Module to create the nested structure of the table
NestedData <- function(dat, children){
stopifnot(length(children) == nrow(dat))
g <- function(d){
if(is.data.frame(d)){
purrr::transpose(d)
}else{
purrr::transpose(NestedData(d[[1]], children = d$children))
}
}
subdats <- lapply(children, g)
oplus <- sapply(subdats, function(x) if(length(x)) "⊕" else "")
cbind(" " = oplus, dat, "_details" = I(subdats), stringsAsFactors = FALSE)
}
market_mix_table <- reactive({
markets <- market_costings_gross_net()
mix_breakout <- daypart_break_out()
print(dput(markets))
print(dput(mix_breakout))
# Make the dataframe
# This must be met length(children) == nrow(dat)
Dat <- NestedData(
dat = markets,
children = list(mix_breakout, mix_breakout)
)
return(Dat)
})
# Render the table
output$daypartTable <- DT::renderDataTable({
# Whether to show row names (set TRUE or FALSE)
rowNames <- FALSE
colIdx <- as.integer(rowNames)
# The data
Dat <- market_mix_table()
# Table
table <- DT::datatable(
Dat,
callback = callback_js,
rownames = rowNames,
escape = -colIdx-1,
options = list(
columnDefs = list(
list(visible = FALSE, targets = ncol(Dat)-1+colIdx),
list(orderable = FALSE, className = 'details-control', targets = colIdx),
list(className = "dt-center", targets = "_all")
)
)
)
# Some faancy Java magic
path <- getwd()
# Call the html tools deps (js & css files in this directory)
dep <- htmltools::htmlDependency(
"CellEdit", "1.0.19", path,
script = "dataTables.cellEdit.js", stylesheet = "dataTables.cellEdit.css")
table$dependencies <- c(table$dependencies, list(dep))
# server = FALSE
return(table)
})
Thanks for the help!!
来源：https://stackoverflow.com/questions/60838658/matching-parent-child-data-up-in-a-datatable-in-r-shiny-app