【问题标题】:d3 Bar chart with a tool tip is not working带有工具提示的 d3 条形图不起作用
【发布时间】:2018-03-09 13:04:32
【问题描述】:

我一直在使用带有内置工具提示的 D3 svg 图表(使用 d3-tip 库)。原代码可以看这里:http://bl.ocks.org/Caged/6476579

我使用 Django 作为后端,我试图从日期时间开始按年填充日志计数。我成功地填充了除条形之外的图表的轴和标签。

这是我的名为graph.html的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 我写了这段代码来成功找到每年的计数:

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)

当我进行 api 调用时,我能够成功获取 JSON 对象,这是我得到的 JSON 对象:

[{"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轴和标签,没有条形图:Front end visualization 除了条形图和工具提示外,一切正常。有人可以帮我看看代码有什么问题吗?

【问题讨论】:

    标签: javascript json django d3.js svg


    【解决方案1】:

    您的问题很简单:时间尺度没有rangeBand()

    由于您将年份作为 分类 变量,而不是定量变量(毕竟,这是条形图,而不是折线图),我建议您只需将比例更改为序数:

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

    之后,删除您的解析器并相应地更改您的域:

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

    最后别忘了调用工具提示:

    svg.call(tip);
    

    这是您的代码进行了这些更改:

    <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>

    【讨论】:

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