admin管理员组

文章数量:1329848

In my d3 bar chart, I should have Y-axis dynamic ticks and grid lines for integer values (no ticks and grid lines for decimal values). Also there should be tick and grid line at the top of tallest bar.

Here in my sample chart, I am passing the max value to the y axis domain function, how can I make sure to have one more line and tick if the max value doesn't reach the next range.

Fiddle One Here the second bar has total value of 53, so I am expecting one more tick and line at 55.

Fiddle Two For the same chart, if the data goes below 10, it es with lines at decimal points like 2.5, 3.5, etc. How to exclude these lines.

Here the ticks are calculated based on value.

// 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");

In my d3 bar chart, I should have Y-axis dynamic ticks and grid lines for integer values (no ticks and grid lines for decimal values). Also there should be tick and grid line at the top of tallest bar.

Here in my sample chart, I am passing the max value to the y axis domain function, how can I make sure to have one more line and tick if the max value doesn't reach the next range.

Fiddle One Here the second bar has total value of 53, so I am expecting one more tick and line at 55.

Fiddle Two For the same chart, if the data goes below 10, it es with lines at decimal points like 2.5, 3.5, etc. How to exclude these lines.

Here the ticks are calculated based on value.

// 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");
  • javascript
  • html
  • css
  • d3.js
  • charts
Share Improve this question edited Mar 11, 2017 at 16:15 Anshad Vattapoyil asked Mar 11, 2017 at 15:38 Anshad VattapoyilAnshad Vattapoyil 23.5k19 gold badges90 silver badges134 bronze badges
Add a ment  | 

1 Answer 1

Reset to default 8

Question 1

You are probably going to have to use tickValues to pass your own custom ticks. If you are generally happy with how d3 does it, you can just add an extra check to extend the array:

var ticks = y.ticks(),
  lastTick = ticks[ticks.length-1],
  newLastTick = lastTick + (ticks[1] - ticks[0]);
if (lastTick<y.domain()[1]){
  ticks.push(newLastTick);
}
y.domain([y.domain()[0], newLastTick]); //<-- adjust domain for further value

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

Running code:

// 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<y.domain()[1]){
  ticks.push(newLastTick);
}
y.domain([y.domain()[0], newLastTick]);

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


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://cdnjs.cloudflare./ajax/libs/d3/3.4.11/d3.min.js"></script>

Question 2

Again, you can let d3 e up with the ticks and then filter out the ones you don't want:

var ticks = y.ticks().filter(function(d){
  return parseInt(d) === d; // is it a integer?
})

// Define and draw axes
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickSize(-width, 0, 0)
.tickValues(ticks);

Running code:

// 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: "1", mcintosh: "3" },
  { year: "2007", redDelicious: "2", mcintosh: "1"},
  { year: "2008", redDelicious: "0", mcintosh: "2"}
];

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().filter(function(d){
	return parseInt(d) === d;
})

// Define and draw axes
var yAxis = d3.svg.axis()
  .scale(y)
  .orient("left")
  .tickSize(-width, 0, 0)
  .tickValues(ticks);
  
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://cdnjs.cloudflare./ajax/libs/d3/3.4.11/d3.min.js"></script>

本文标签： javascriptd3 bar chart y axis ticks and grid lines above max valueStack Overflow

版权声明：本文标题：javascript - d3 bar chart y axis ticks and grid lines above max value - Stack Overflow 内容由网友自发贡献，该文观点仅代表作者本人， 转载请联系作者并注明出处：http://www.betaflare.com/web/1742254137a2441313.html， 本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌抄袭侵权/违法违规的内容，一经查实，本站将立刻删除。