Я пытаюсь использовать некоторые JavaScript, чтобы создать красивый макет таблицы с вложением родителей / детей. Мне нужен только один ребенок на одного родителя. У меня есть два кадра данных. Целью здесь является создание таблицы, объединяющей эти два фрейма данных. Пока я могу это сделать. Однако проблема здесь в том, что я могу заставить работать код только для одной строки в df1. Когда я go добавить еще одну строку в df1, я получаю Error in data.frame: arguments imply differing number of rows: 1, 2. Например, желаемый результат достигается, когда у меня есть только одна строка в df1, но когда есть более одной строки, я могу вывести ошибку выше.
df # 1
structure(list(Market = c("ALBANY-SCHENECTADY-TROY, NY", "ALBANY, GA",
"ALBUQUERQUE-SANTA FE"), Gross = c("$0", "$0", "$0"), Net = c("$0",
"$0", "$0"), GRP = c(100, 100, 100), `Demo Impressions` = c("957,776",
"238,792", "1,259,307"), `Gross CPP` = c("$0", "$0", "$0"), `Gross CPM` = c("$0",
"$0", "$0")), .Names = c("Market", "Gross", "Net", "GRP", "Demo Impressions",
"Gross CPP", "Gross CPM"), row.names = c(NA, -3L), class = "data.frame")
Market Gross Net GRP Demo Impressions Gross CPP Gross CPM
1 ALBANY-SCHENECTADY-TROY, NY $0 $0 100 957,776 $0 $0
2 ALBANY, GA $0 $0 100 238,792 $0 $0
3 ALBUQUERQUE-SANTA FE $0 $0 100 1,259,307 $0 $0
df # 2
structure(list(Daypart = c("Daytime", "Early Fringe", "Early Morning",
"Early News", "Late Fringe", "Late News", "Prime Access", "Prime Time",
"Total"), `Share (%)` = c(15L, 10L, 15L, 10L, 10L, 10L, 15L,
15L, 100L), `Spot:30 (%)` = c(0, 0, 0, 0, 0, 0, 0, 0, 0), `Spot:15 (%)` = c(0,
0, 0, 0, 0, 0, 0, 0, 0), `Demo Impressions` = c("368,381", "245,588",
"368,381", "245,588", "245,588", "245,588", "368,381", "368,381",
"2,455,876"), Gross = c("$0", "$0", "$0", "$0", "$0", "$0", "$0",
"$0", "$0"), Net = c("$0", "$0", "$0", "$0", "$0", "$0", "$0",
"$0", "$0"), `Gross CPM` = c("$0", "$0", "$0", "$0", "$0", "$0",
"$0", "$0", "$-")), .Names = c("Daypart", "Share (%)", "Spot:30 (%)",
"Spot:15 (%)", "Demo Impressions", "Gross", "Net", "Gross CPM"
), row.names = c(NA, -9L), class = "data.frame")
Daypart Share (%) Spot:30 (%) Spot:15 (%) Demo Impressions Gross Net Gross CPM
1 Daytime 15 0 0 368,381 $0 $0 $0
2 Early Fringe 10 0 0 245,588 $0 $0 $0
3 Early Morning 15 0 0 368,381 $0 $0 $0
4 Early News 10 0 0 245,588 $0 $0 $0
5 Late Fringe 10 0 0 245,588 $0 $0 $0
6 Late News 10 0 0 245,588 $0 $0 $0
7 Prime Access 15 0 0 368,381 $0 $0 $0
8 Prime Time 15 0 0 368,381 $0 $0 $0
9 Total 100 0 0 2,455,876 $0 $0 $-
# Merge the row details
subdats <- lapply(
list(df2),
purrr::transpose
)
# Dataframe for the datatable
Dat <- cbind(
" " = "⊕",
df1,
details = I(subdats)
)
callback_js = JS(
"table.column(1).nodes().to$().css({cursor: 'pointer'});",
"",
"// make the table header of the nested table",
"var format = function(d, childId){",
" if(d != null){",
" var html = ",
" '<table class=\"display compact hover\" id=\"' + childId + '\"><thead><tr>';",
" for (var key in d[d.length-1][0]) {",
" html += '<th>' + key + '</th>';",
" }",
" html += '</tr></thead></table>'",
" return html;",
" } 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', 'white');",
" }, function() {",
" $(this).css('background-color', 'white');",
" });",
" } else {",
" $(row).css('background-color', 'white');",
" $(row).hover(function(){",
" $(this).css('background-color', 'white');",
" }, 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 indigo',",
" 'color': 'white',",
" 'background-color': 'white'",
" });",
"};",
"",
"// make the datatable",
"var format_datatable = function(d, childId){",
" 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;",
" var subtable = $(id).DataTable({",
" 'data': dataset,",
" 'autoWidth': true,",
" 'deferRender': true,",
" 'info': false,",
" 'lengthChange': false,",
" 'ordering': d[n].length > 1,",
" 'order': [],",
" 'paging': false,",
" 'scrollX': false,",
" 'scrollY': false,",
" 'searching': false,",
" 'sortClasses': false,",
" 'rowCallback': rowCallback,",
" 'headerCallback': headerCallback,",
" 'columnDefs': [",
" {targets: -1, visible: false},",
" {targets: 0, orderable: false, className: 'details-control'},",
" {targets: '_all', className: 'dt-center'}",
" ]",
" }).column(0).nodes().to$().css({cursor: 'pointer'});",
" }",
"",
"// 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 = $(tbl).DataTable().row(td.closest('tr')),",
" rowIdx = row.index();",
" if(row.child.isShown()){",
" row.child.hide();",
" td.html('⊕');",
" } else {",
" var childId = tblId + '-child-' + rowIdx;",
" row.child(format(row.data(), childId)).show();",
" td.html('⊖');",
" format_datatable(row.data(), childId);",
" }",
"});")
# Render the table
output$daypartTable <- DT::renderDataTable({
Dat <- Dat
DT::datatable(Dat, callback = callback_js, escape = -2, editable = TRUE,
options = list(
columnDefs = list(
list(visible = FALSE, targets = ncol(Dat)),
list(orderable = FALSE, className = 'details-control', targets = 1),
list(className = "dt-center", targets = "_all")
)
)
)
})
Результат должен выглядеть следующим образом, но имеет несколько родительских строк, каждая строка из df1, с дочерними строками из df2.
