d3条形图y轴刻度线和网格线高于最大值

在我的d3条形图中,我应该有Y轴动态刻度和整数值的网格线(没有刻度和十进制值的网格线).最高的酒吧顶部也应该有标记和网格线.

在我的示例图表中,我将最大值传递给y轴域函数,如何确保再有一行并在最大值未达到下一个范围时勾选.

小提琴一在这里,第二个小节的总值为53,所以我期待再多一个小节和55行.

小提琴二对于同一个图表,如果数据低于10,它会带有小数点的行,如2.5,3.5等.如何排除这些行.

这里的滴答是根据价值计算的.

// 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: "14" },
  { 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" },
];

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")
  .tickSize(-width, 0, 0)
  .tickFormat(d3.format("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");

Mark.. 6

问题1

您可能不得不使用tickValues来传递自己的自定义刻度.如果您d3对它的使用方式感到满意,可以添加一个额外的检查来扩展数组:

var ticks = y.ticks(),
  lastTick = ticks[ticks.length-1],
  newLastTick = lastTick + (ticks[1] - ticks[0]);
if (lastTick



运行代码:



// Setup svg using Bostock's margin convention

var margin = {top: 15, 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: "14" },
  { 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" },
];

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"];

var ticks = y.ticks(),
    lastTick = ticks[ticks.length-1],
    newLastTick = lastTick + (ticks[1] - ticks[0]);
if (lastTick