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帶有工具提示的 d3 條形圖不起作用

[英]d3 Bar chart with a tool tip is not working

我一直在使用帶有內置工具提示的 D3 svg 圖表(使用 d3-tip 庫)。 原始代碼可以在這里看到: http : //bl.ocks.org/Caged/6476579

我使用 Django 作為后端,我試圖從日期時間開始每年填充日志計數。 除了條形圖外,我成功地填充了圖形的軸和標簽。

這是我的名為graph.html html 模板:

<!DOCTYPE html>
<meta charset="utf-8">
<style>

body {
  font: 10px sans-serif;
}

.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

.bar {
  fill: orange;
}

.bar:hover {
  fill: orangered ;
}

.x.axis path {
  display: none;
}

.d3-tip {
  line-height: 1;
  font-weight: bold;
  padding: 12px;
  background: rgba(0, 0, 0, 0.8);
  color: #fff;
  border-radius: 2px;
}

/* Creates a small triangle extender for the tooltip */
.d3-tip:after {
  box-sizing: border-box;
  display: inline;
  font-size: 10px;
  width: 100%;
  line-height: 1;
  color: rgba(0, 0, 0, 0.8);
  content: "\25BC";
  position: absolute;
  text-align: center;
}

/* Style northward tooltips differently */
.d3-tip.n:after {
  margin: -1px 0 0 0;
  top: 100%;
  left: 0;
}

</style>
<body>
<script src="http://d3js.org/d3.v3.js"></script>
<script src="http://labratrevenge.com/d3-tip/javascripts/d3.tip.v0.6.3.js"></script>
<script>

var margin = {top: 40, right: 20, bottom: 30, left: 40},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var parseDate = d3.time.format("%Y-%m-%dT00:00:00Z").parse;  // for dates like "2014-01-01T00:00:00Z"

var x = d3.time.scale()
    .range([0, width]);

var y = d3.scale.linear()
    .range([height, 0]);

var xAxis = d3.svg.axis()
    .scale(x)
    .orient("bottom");

var yAxis = d3.svg.axis()
    .scale(y)
    .orient("left");

var tip = d3.tip()
  .attr('class', 'd3-tip')
  .offset([-10, 0])
  .html(function(d) {
    return "<strong>Log Count:</strong> <span style='color:red'>" + d.count_items + "</span>";
  })


var svg = d3.select("body").append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

d3.json("{% url "log_count_by_year" %}", function(error, data) {
  data.forEach(function(d) {
    d.year = parseDate(d.year);
    d.count_items = +d.count_items;
  });

  x.domain(d3.extent(data, function(d) { return d.year; }));
  y.domain([0, d3.max(data, function(d) { return d.count_items; })]);

  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis);

  svg.append("g")
      .attr("class", "y axis")
      .call(yAxis)
    .append("text")
      .attr("transform", "rotate(-90)")
      .attr("y", -38)
      .attr("dy", ".71em")
      .style("text-anchor", "end")
      .text("Log count");

  svg.selectAll(".bar")
        .data(data)
      .enter().append("rect")
        .attr("class", "bar")
        .attr("x", function(d) { return x(d.year); })
        .attr("width", x.rangeBand())
        .attr("y", function(d) { return y(d.count_items); })
        .attr("height", function(d) { return height - y(d.count_items); })
        .on('mouseover', tip.show)
        .on('mouseout', tip.hide)
});

</script>
</body>
</html>

views.py我編寫了這段代碼以成功找到每年的計數:

def graph(request):
    return render(request, 'graph/graph.html')

def log_count_by_year(request):
    data = log_runs.objects.all() \
        .extra(select={'year': connections[log_runs.objects.db].ops.date_trunc_sql('year', 'RUN_DATETIME')}) \
        .values('year') \
        .annotate(count_items=Count('ID'))
    return JsonResponse(list(data), safe=False)

當我執行 api 調用時,我能夠成功獲取 JSON 對象,這是我得到的 JSON 對象:

[{"count_items": 22, "year": "2017-01-01T00:00:00Z"}, {"count_items": 16, "year": "2016-01-01T00:00:00Z"}, {"count_items": 16, "year": "2015-01-01T00:00:00Z"}, {"count_items": 6, "year": "2014-01-01T00:00:00Z"}, {"count_items": 1, "year": "2013-01-01T00:00:00Z"}, {"count_items": 1, "year": "2012-01-01T00:00:00Z"}, {"count_items": 2, "year": "2011-01-01T00:00:00Z"}, {"count_items": 1, "year": "2010-01-01T00:00:00Z"}, {"count_items": 2, "year": "2009-01-01T00:00:00Z"}, {"count_items": 1, "year": "2008-01-01T00:00:00Z"}, {"count_items": 1, "year": "2007-01-01T00:00:00Z"}, {"count_items": 2, "year": "2006-01-01T00:00:00Z"}, {"count_items": 1, "year": "2005-01-01T00:00:00Z"}, {"count_items": 1, "year": "2004-01-01T00:00:00Z"}]

但在前端,我只能看到軸和標簽,而沒有條形圖:前端可視化除了條形和工具提示外,一切正常。 有人可以幫我解決代碼有什么問題嗎?

您的問題很簡單:時間刻度沒有rangeBand()

由於您將年份作為分類變量,而不是定量變量(畢竟,這是一個條形圖,而不是折線圖),我建議您只需更改序數比例:

var x = d3.scale.ordinal()
    .rangeBands([0, width], 0.2);

之后,刪除您的解析器並相應地更改您的域:

x.domain(data.map(function(d) {
    return d.year;
}));

最后,不要忘記調用工具提示:

svg.call(tip);

這是帶有這些更改的代碼:

 <style> body { font: 10px sans-serif; } .axis path, .axis line { fill: none; stroke: #000; shape-rendering: crispEdges; } .bar { fill: orange; } .bar:hover { fill: orangered; } .x.axis path { display: none; } .d3-tip { line-height: 1; font-weight: bold; padding: 12px; background: rgba(0, 0, 0, 0.8); color: #fff; border-radius: 2px; } /* Creates a small triangle extender for the tooltip */ .d3-tip:after { box-sizing: border-box; display: inline; font-size: 10px; width: 100%; line-height: 1; color: rgba(0, 0, 0, 0.8); content: "\\25BC"; position: absolute; text-align: center; } /* Style northward tooltips differently */ .d3-tip.n:after { margin: -1px 0 0 0; top: 100%; left: 0; } </style> <body> <script src="https://d3js.org/d3.v3.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/d3-tip/0.7.1/d3-tip.min.js"></script> <script> var margin = { top: 40, right: 20, bottom: 30, left: 40 }, width = 960 - margin.left - margin.right, height = 500 - margin.top - margin.bottom; var x = d3.scale.ordinal() .rangeBands([0, width], 0.2); var y = d3.scale.linear() .range([height, 0]); var xAxis = d3.svg.axis() .scale(x) .orient("bottom"); var yAxis = d3.svg.axis() .scale(y) .orient("left"); var tip = d3.tip() .attr('class', 'd3-tip') .offset([-10, 0]) .html(function(d) { return "<strong>Log Count:</strong> <span style='color:red'>" + d.count_items + "</span>"; }) var svg = d3.select("body").append("svg") .attr("width", width + margin.left + margin.right) .attr("height", height + margin.top + margin.bottom) .append("g") .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); svg.call(tip); var data = [{ "count_items": 22, "year": "2017-01-01T00:00:00Z" }, { "count_items": 16, "year": "2016-01-01T00:00:00Z" }, { "count_items": 16, "year": "2015-01-01T00:00:00Z" }, { "count_items": 6, "year": "2014-01-01T00:00:00Z" }, { "count_items": 1, "year": "2013-01-01T00:00:00Z" }, { "count_items": 1, "year": "2012-01-01T00:00:00Z" }, { "count_items": 2, "year": "2011-01-01T00:00:00Z" }, { "count_items": 1, "year": "2010-01-01T00:00:00Z" }, { "count_items": 2, "year": "2009-01-01T00:00:00Z" }, { "count_items": 1, "year": "2008-01-01T00:00:00Z" }, { "count_items": 1, "year": "2007-01-01T00:00:00Z" }, { "count_items": 2, "year": "2006-01-01T00:00:00Z" }, { "count_items": 1, "year": "2005-01-01T00:00:00Z" }, { "count_items": 1, "year": "2004-01-01T00:00:00Z" }]; data.forEach(function(d) { d.year = d.year.split("-")[0]; d.count_items = +d.count_items; }); x.domain(data.map(function(d) { return d.year; })); y.domain([0, d3.max(data, function(d) { return d.count_items; })]); svg.append("g") .attr("class", "x axis") .attr("transform", "translate(0," + height + ")") .call(xAxis); svg.append("g") .attr("class", "y axis") .call(yAxis) .append("text") .attr("transform", "rotate(-90)") .attr("y", -38) .attr("dy", ".71em") .style("text-anchor", "end") .text("Log count"); svg.selectAll(".bar") .data(data) .enter().append("rect") .attr("class", "bar") .attr("x", function(d) { return x(d.year); }) .attr("width", x.rangeBand()) .attr("y", function(d) { return y(d.count_items); }) .attr("height", function(d) { return height - y(d.count_items); }) .on('mouseover', tip.show) .on('mouseout', tip.hide) </script>

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