【问题标题】:Dynamic data with constant bar width in d3.js bar graphd3.js条形图中具有恒定条形宽度的动态数据
【发布时间】:2018-10-21 11:19:03
【问题描述】:

我需要在我的网站上放置一个 d3 条形图。那里的数据动态来自服务器。数据可以很大也可以很小。 我已经提到了下面的代码。

当数据动态增加时,如何自动添加滚动条而不是减少条的宽度?

同样,如果数据较少,条形大小应该是恒定的。

// Setup svg using Bostock's margin convention

var margin = {top: 20, right: 160, bottom: 35, left: 30};

var width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

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 + ")");


/* Data in strings like it would be if imported from a csv */

var data = [
  { year: "2006", redDelicious: "10", mcintosh: "15", oranges: "9", pears: "6" },
  { year: "2007", redDelicious: "12", mcintosh: "18", oranges: "9", pears: "4" },
  { year: "2008", redDelicious: "05", mcintosh: "20", oranges: "8", pears: "2" },
  { year: "2009", redDelicious: "01", mcintosh: "15", oranges: "5", pears: "4" },
  { year: "2010", redDelicious: "02", mcintosh: "10", oranges: "4", pears: "2" },
  { year: "2011", redDelicious: "03", mcintosh: "12", oranges: "6", pears: "3" },
  { year: "2012", redDelicious: "04", mcintosh: "15", oranges: "8", pears: "1" },
  { year: "2013", redDelicious: "06", mcintosh: "11", oranges: "9", pears: "4" },
  { year: "2014", redDelicious: "10", mcintosh: "13", oranges: "9", pears: "5" },
  { year: "2015", redDelicious: "16", mcintosh: "19", oranges: "6", pears: "9" },
  { year: "2016", redDelicious: "19", mcintosh: "17", oranges: "5", pears: "7" },
  { year: "2017", redDelicious: "04", mcintosh: "15", oranges: "8", pears: "1" },
  { year: "2018", redDelicious: "06", mcintosh: "11", oranges: "9", pears: "4" },
 
];

var parse = d3.time.format("%Y").parse;


// Transpose the data into layers
var dataset = d3.layout.stack()(["redDelicious", "mcintosh", "oranges", "pears"].map(function(fruit) {
  return data.map(function(d) {
    return {x: parse(d.year), y: +d[fruit]};
  });
}));


// Set x, y and colors
var x = d3.scale.ordinal()
  .domain(dataset[0].map(function(d) { return d.x; }))
  .rangeRoundBands([10, width-10], 0.02);

var y = d3.scale.linear()
  .domain([0, d3.max(dataset, function(d) {  return d3.max(d, function(d) { return d.y0 + d.y; });  })])
  .range([height, 0]);

var colors = ["b33040", "#d25c4d", "#f2b447", "#d9d574"];


// Define and draw axes
var yAxis = d3.svg.axis()
  .scale(y)
  .orient("left")
  .ticks(5)
  .tickSize(-width, 0, 0)
  .tickFormat( function(d) { return d } );

var xAxis = d3.svg.axis()
  .scale(x)
  .orient("bottom")
  .tickFormat(d3.time.format("%Y"));

svg.append("g")
  .attr("class", "y axis")
  .call(yAxis);

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


// Create groups for each series, rects for each segment 
var groups = svg.selectAll("g.cost")
  .data(dataset)
  .enter().append("g")
  .attr("class", "cost")
  .style("fill", function(d, i) { return colors[i]; });

var rect = groups.selectAll("rect")
  .data(function(d) { return d; })
  .enter()
  .append("rect")
  .attr("x", function(d) { return x(d.x); })
  .attr("y", function(d) { return y(d.y0 + d.y); })
  .attr("height", function(d) { return y(d.y0) - y(d.y0 + d.y); })
  .attr("width", x.rangeBand())
  .on("mouseover", function() { tooltip.style("display", null); })
  .on("mouseout", function() { tooltip.style("display", "none"); })
  .on("mousemove", function(d) {
    var xPosition = d3.mouse(this)[0] - 15;
    var yPosition = d3.mouse(this)[1] - 25;
    tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
    tooltip.select("text").text(d.y);
  });


// Draw legend

var legend = svg.selectAll(".legend")
  .data(colors)
  .enter().append("g")
  .attr("class", "legend")
  .attr("transform", function(d, i) { return "translate(30," + i * 19 + ")"; });
 
legend.append("rect")
  .attr("x", width - 18)
  .attr("width", 18)
  .attr("height", 18)
  .style("fill", function(d, i) {return colors.slice().reverse()[i];});
 
legend.append("text")
  .attr("x", width + 5)
  .attr("y", 9)
  .attr("dy", ".35em")
  .style("text-anchor", "start")
  .text(function(d, i) { 
    switch (i) {
      case 0: return "Anjou pears";
      case 1: return "Naval oranges";
      case 2: return "McIntosh apples";
      case 3: return "Red Delicious apples";
    }
  });


// Prep the tooltip bits, initial display is hidden
var tooltip = svg.append("g")
  .attr("class", "tooltip")
  .style("display", "none");
    
tooltip.append("rect")
  .attr("width", 30)
  .attr("height", 20)
  .attr("fill", "white")
  .style("opacity", 0.5);

tooltip.append("text")
  .attr("x", 15)
  .attr("dy", "1.2em")
  .style("text-anchor", "middle")
  .attr("font-size", "12px")
  .attr("font-weight", "bold");
 svg {
    font: 10px sans-serif;
    shape-rendering: crispEdges;
  }

  .axis path,
  .axis line {
    fill: none;
    stroke: #000;
  }
 
  path.domain {
    stroke: none;
  }
 
  .y .tick line {
    stroke: #ddd;
  }
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.0/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script src="http://d3js.org/d3.v3.min.js"></script>
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8" />
  <title>d3.js learning</title>
  <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
 

</head>
<body>

</body>
</html>

【问题讨论】:

    标签: javascript d3.js svg overflow bar-chart


    【解决方案1】:

    我用固定的widthheight 创建了一个div,并让div 沿着x 滚动。在div 中附加图表svg,并根据数据长度调整图表width

    这是一个小提琴。尝试在其中添加或删除数据点。

    // Setup svg using Bostock's margin convention
    
    var margin = {
      top: 20,
      right: 160,
      bottom: 35,
      left: 30
    };
    
    var width,height = 300 - margin.top - margin.bottom;
    var data = [
      { year: "2006", redDelicious: "10", mcintosh: "15", oranges: "9", pears: "6" }
     
    ];
    
    //Calculate width based on the number of data points and multiply by 60 to give sufficient width to the bars.
    width = (data.length * 60) - margin.left - margin.right;
    
    // If calculated width is lesser than the div container width, set a minimum width of 700px 
    if (width < $('#chartContainer').width()) {
      width = 700 - margin.left - margin.right;
    }
    
    var svg = d3.select("#chartContainer")
      .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 + ")");
    
    
    /* Data in strings like it would be if imported from a csv */
    
    
    var parse = d3.time.format("%Y").parse;
    
    
    // Transpose the data into layers
    var dataset = d3.layout.stack()(["redDelicious", "mcintosh", "oranges", "pears"].map(function(fruit) {
      return data.map(function(d) {
        return {
          x: parse(d.year),
          y: +d[fruit]
        };
      });
    }));
    
    
    // Set x, y and colors
    var x = d3.scale.ordinal()
      .domain(dataset[0].map(function(d) {
        return d.x;
      }))
      .rangeRoundBands([10, width - 10], 0.8/data.length);
    
    var y = d3.scale.linear()
      .domain([0, d3.max(dataset, function(d) {
        return d3.max(d, function(d) {
          return d.y0 + d.y;
        });
      })])
      .range([height, 0]);
    
    var colors = ["b33040", "#d25c4d", "#f2b447", "#d9d574"];
    
    
    // Define and draw axes
    var yAxis = d3.svg.axis()
      .scale(y)
      .orient("left")
      .ticks(5)
      .tickSize(-width, 0, 0)
      .tickFormat(function(d) {
        return d
      });
    
    var xAxis = d3.svg.axis()
      .scale(x)
      .orient("bottom")
      .tickFormat(d3.time.format("%Y"));
    
    svg.append("g")
      .attr("class", "y axis")
      .call(yAxis);
    
    svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis)
    //.selectAll('text');
    
    
    // Create groups for each series, rects for each segment 
    var groups = svg.selectAll("g.cost")
      .data(dataset)
      .enter().append("g")
      .attr("class", "cost")
      .style("fill", function(d, i) {
        return colors[i];
      });
    
    var rect = groups.selectAll("rect")
      .data(function(d) {
        return d;
      })
      .enter()
      .append("rect")
      .attr("x", function(d) {
        return x(d.x);
      })
      .attr("y", function(d) {
        return y(d.y0 + d.y);
      })
      .attr("height", function(d) {
        return y(d.y0) - y(d.y0 + d.y);
      })
      .attr("width", x.rangeBand())
      .on("mouseover", function() {
        tooltip.style("display", null);
      })
      .on("mouseout", function() {
        tooltip.style("display", "none");
      })
      .on("mousemove", function(d) {
        var xPosition = d3.mouse(this)[0] - 15;
        var yPosition = d3.mouse(this)[1] - 25;
        tooltip.attr("transform", "translate(" + xPosition + "," + yPosition + ")");
        tooltip.select("text").text(d.y);
      });
    
    
    // Draw legend
    
    var legend = svg.selectAll(".legend")
      .data(colors)
      .enter().append("g")
      .attr("class", "legend")
      .attr("transform", function(d, i) {
        return "translate(30," + i * 19 + ")";
      });
    
    legend.append("rect")
      .attr("x", width - 18)
      .attr("width", 18)
      .attr("height", 18)
      .style("fill", function(d, i) {
        return colors.slice().reverse()[i];
      });
    
    legend.append("text")
      .attr("x", width + 5)
      .attr("y", 9)
      .attr("dy", ".35em")
      .style("text-anchor", "start")
      .text(function(d, i) {
        switch (i) {
          case 0:
            return "Anjou pears";
          case 1:
            return "Naval oranges";
          case 2:
            return "McIntosh apples";
          case 3:
            return "Red Delicious apples";
        }
      });
    
    
    // Prep the tooltip bits, initial display is hidden
    var tooltip = svg.append("g")
      .attr("class", "tooltip")
      .style("display", "none");
    
    tooltip.append("rect")
      .attr("width", 30)
      .attr("height", 20)
      .attr("fill", "white")
      .style("opacity", 0.5);
    
    tooltip.append("text")
      .attr("x", 15)
      .attr("dy", "1.2em")
      .style("text-anchor", "middle")
      .attr("font-size", "12px")
      .attr("font-weight", "bold");
    svg {
      font: 10px sans-serif;
      shape-rendering: crispEdges;
    }
    
    .axis path,
    .axis line {
      fill: none;
      stroke: #000;
    }
    
    path.domain {
      stroke: none;
    }
    
    .y .tick line {
      stroke: #ddd;
    }
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
    <script src="http://d3js.org/d3.v3.min.js"></script>
    <!DOCTYPE html>
    <html lang="en">
    
    <head>
      <meta charset="UTF-8" />
      <title>d3.js learning</title>
      <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
    
    
    </head>
    
    <body>
      <div id='chartContainer' style="overflow-x:scroll;max-width: 400px;height:330px"></div>
    </body>
    
    </html>

    【讨论】:

    • 谢谢,它成功了。但现在唯一的问题是假设我们只有一个数据点。那么条形图的宽度又太大了。
    • @Madhuri 请立即检查更新的小提琴。我改变的是现在条形之间的填充也是根据数量或数据点。我现在只保留了一个数据点。您可以添加更多数据点并尝试一下。
    • 太棒了..非常感谢..我以前一直卡在这里..现在明白了!