I want to create a bar chart with custom bar width I tried following code but not aware if its the right way to do.
Also I want to update the bar chart with new data how can I do it?
TO update I tried - https://jsfiddle.net/eqr8deef/
var margin = {
top: 25,
right: 40,
bottom: 35,
left: 85
},
w = 500 - margin.left - margin.right,
h = 350 - margin.top - margin.bottom;
var padding = 10;
var colors = {
0: ["Local", "#377EB8"],
1: ["Global", "#4DAF4A"]
};
var dataset = [{
"global": 1468604556084,
"local": 100,
}, {
"local": 11500,
"global": 1313048950629
}, {
"local": 11500,
"global": 1213048950629
}, {
"local": 11500,
"global": 1113048950629
}, {
"local": 11500,
"global": 1123048950629
}, {
"local": 11500,
"global": 1013048950629
}];
var xScale = d3.scale.ordinal()
.domain(d3.range(dataset.length))
.rangeRoundBands([0, w], 0.01);
// ternary operator to determine if global or local has a larger scale
var yScale = d3.scale.linear()
.domain([0, d3.max(dataset, function(d) {
return d.local;
})])
.range([h, 0]);
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left")
.ticks(5);
var commaFormat = d3.format(',');
//SVG element
var svg = d3.select("#searchVolume")
.append("svg")
.attr("width", w + margin.left + margin.right)
.attr("height", h + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// Graph Bars
var sets = svg.selectAll(".set")
.data(dataset)
.enter()
.append("g")
.attr("class", "set")
.attr("transform", function(d, i) {
return "translate(" + xScale(i) + ",0)";
});
sets.append("rect")
.attr("class", "global")
.attr("width", 20)
.attr("y", function(d) {
return yScale(d.local);
})
.attr("height", function(d) {
return h - yScale(d.local);
})
.attr("fill", colors[1][1])
.attr("font-family", "sans-serif")
.attr("font-size", "11px")
.attr("fill", "red");
// yAxis
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(0 ,0)")
.call(yAxis);
var yTextPadding = 20;
svg.selectAll(".bartext")
.data(dataset)
.enter()
.append("text")
.attr("class", "bartext")
.attr("text-anchor", "middle")
.attr("fill", "black")
.attr("x", function(d,i) {
console.log(i, xScale(i))
return xScale(i) + 10;
})
.attr("y", function(d,i) {
return h + 15;
})
.text(function(d){
return new Date(d.global).getFullYear();
});
// xAxis label
http://jsfiddle.net/pq0xrard/
To answer your question step by step -
rangeRoundBands is used to evenly space your bars. But if you want to have custom width then you can not use it like the way you are using it.
to update the data you can simply use enter-update-exit methods as shown below.
var update_sel = svg.selectAll("circle").data(data)
update_sel.attr(/* operate on old elements only */)
update_sel.enter().append("circle").attr(/* operate on new elements
only */)
update_sel.attr(/* operate on old and new elements */)
update_sel.exit().remove() /* complete the enter-update-exit pattern
*/
Here is a complete example - https://jsfiddle.net/seej4dfd/
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
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")
.ticks(10, "%");
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.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
function draw(data) {
x.domain(data.map(function(d) {
return d.letter;
}));
y.domain([0, d3.max(data, function(d) {
return d.frequency;
})]);
var labels = svg
.selectAll(".topLabel")
.data(data, function(d) {
return d.letter;
});
labels
.exit()
.remove();
labels
.enter()
.append("text")
.attr("class", "topLabel")
.attr("text-anchor", "middle")
.attr("fill", "black")
labels
.attr("x", function(d, i) {
return x(d.letter) + 7.5;
})
.attr("y", function(d, i) {
return y(d.frequency);
})
.text(function(d, i) {
return d.letter;
});
var labels = svg
.selectAll(".bartext")
.data(data, function(d) {
return d.letter;
});
labels
.exit()
.remove();
labels
.enter()
.append("text")
.attr("class", "bartext")
.attr("text-anchor", "middle")
.attr("fill", "black");
labels
.attr("x", function(d, i) {
return x(d.letter) + 7.5;
})
.attr("y", function(d, i) {
return height + 15;
})
.text(function(d, i) {
return d.letter;
});
svg.select(".y.axis").transition().duration(300).call(yAxis)
var bars = svg.selectAll(".bar").data(data, function(d) {
return d.letter;
})
bars.exit()
.transition()
.duration(300)
.remove();
bars.enter().append("rect")
.attr("class", "bar");
bars.transition().duration(300).attr("x", function(d) {
return x(d.letter);
})
.attr("width", 15)
.attr("y", function(d) {
return y(d.frequency);
})
.attr("height", function(d) {
return height - y(d.frequency);
});
}
To change the width, use the xScale.rangeBand() for setting the width of your rect on line 73.
http://jsfiddle.net/073u0ump/3/
Related
I faced with a problem when some values in a bar very small when at the same time most of the other values are big enough. As the result these chunks with low values are almost not visible. I did not find any solution hot to correctly round chunks(not manually because I now that I can round them to more higher values via scale + invert(in order to determine what values I needed to show them more or less visible)). As an example below: as you see the last bar with low values is almost not visible. So can you suggest how to fix it? It would be great to have an opportunity to be able to specify the min size of stacked bar chart chunk. Thank you in advance.
http://jsfiddle.net/vhcdt13x/
// 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: "100", mcintosh: "150", oranges: "90", pears: "60" },
{ year: "2012", redDelicious: "1", mcintosh: "1", oranges: "1", pears: "1" }
];
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");
I have a set of nested json data:
var data = [{"time":"2016-03-01","values":[{"specimen_count":1,"trap":"S0024", "species":1},{"specimen_count":2,"trap":"S0025", "species":2},{"specimen_count":2,"trap":"S0026", "species":2}]},{"time":"2016-03-15","values":[{"specimen_count":6,"trap":"S0024", "species":6},{"specimen_count":5,"trap":"S0025", "species":4},{"specimen_count":7,"trap":"S0026", "species":6}]}];
And I want to draw a set of grouped bar charts each group representing a time interval and each group with 3 bars, each representing a trap, and the height of the bar is the specimen_count field.
Now I want to add a scatterplot, one dot for each bar and the height of the dot is the species field, using the same scales. But I am having trouble successfully placing the dots on top the the grouped bar chart. I did manage to add a line with the species data, but I can't add the dots using the same logic.
Here is my code:
var margin = {top: 100, right: 20, bottom: 30, left: 40},
width = 600 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x0)
.tickSize(0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var color = d3.scale.ordinal()
.range(["#ca0020","#f4a582","#92c5de"]);
var svg = d3.select('#chart').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 + ")");
var categoriesNames = data.map(function(d) { return d.time; }); // the 5 time periods
var trapNames = data[0].values.map(function(d) { return d.trap; }); // the name of the traps
console.log(trapNames);
x0.domain(categoriesNames);
x1.domain(trapNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(category) { return d3.max(category.values, function(d) { return d.specimen_count; }); })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.style('opacity','0')
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.style('font-weight','bold')
.text("Value");
svg.select('.y').transition().duration(500).delay(1300).style('opacity','1');
var slice = svg.selectAll(".slice")
.data(data)
.enter().append("g")
.attr("class", "slice")
.attr("transform",function(d) { return "translate(" + x0(d.time) + ",0)"; });
slice.selectAll("rect")
.data(function(d) { return d.values; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.trap); })
.style("fill", function(d) { return color(d.trap) })
.attr("y", function(d) { return y(0); })
.attr("height", function(d) { return height - y(0); })
.on("mouseover", function(d) {
d3.select(this).style("fill", d3.rgb(color(d.trap)).darker(2));
})
.on("mouseout", function(d) {
d3.select(this).style("fill", color(d.trap));
});
slice.selectAll("rect")
.transition()
.delay(function (d) {return Math.random()*1000;})
.duration(1000)
.attr("y", function(d) { return y(d.specimen_count); })
.attr("height", function(d) { return height - y(d.specimen_count); });
var valueline = d3.svg.line()
.x(function (d) { return x1(d.trap) + x1.rangeBand()/2; })
.y(function (d) { return y(d.species); });
slice.enter()
.append('path')
.attr('class','line')
.style('stroke', "#0571b0")
.style('stroke-width', "3px")
.attr('fill', 'none')
.attr('d', function(d) { return valueline(d.values); });
slice.selectAll('.dot').data(data,function(d){return d.time;})
.enter()
.append("circle")
.attr("class", "dot")
.attr("r",5)
.attr("cx", function(d){
return x1(d.trap) + x1.rangeBand()/2;
})
.attr("cy",function(d){
return y(d.species);
})
.attr("fill","#0571b0");
There error I'm getting from the circle-related code is: d3.min.js:1 Error: attribute cx: Expected length, "NaN".
I think the nested data and the ordinal scale for the bar chart is throwing me off a bit, so it could be that I am not understanding fulling data access in these cases.
Also here is the screenshot of the current graph
If you need the dots on every bar chart, then the data() callback must return a list of bars not a single item. Did you try replacing it with:
slice.selectAll('.dot')
.data(function(d) {
return d.values;
})
.enter()
.append("circle") //... and so on
Doing this will use the existing data object (with 5 bar groups), but render a dot for each bar.
Here it is running:
<!DOCTYPE html>
<html>
<head>
<script data-require="d3#3.5.17" data-semver="3.5.17" src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.js"></script>
</head>
<body>
<div id="chart"></div>
<script>
var data = [{
"time": "2016-03-01",
"values": [{
"specimen_count": 1,
"trap": "S0024",
"species": 1
}, {
"specimen_count": 2,
"trap": "S0025",
"species": 2
}, {
"specimen_count": 2,
"trap": "S0026",
"species": 2
}]
}, {
"time": "2016-03-15",
"values": [{
"specimen_count": 6,
"trap": "S0024",
"species": 6
}, {
"specimen_count": 5,
"trap": "S0025",
"species": 4
}, {
"specimen_count": 7,
"trap": "S0026",
"species": 6
}]
}];
var margin = {
top: 100,
right: 20,
bottom: 30,
left: 40
},
width = 600 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x0)
.tickSize(0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var color = d3.scale.ordinal()
.range(["#ca0020", "#f4a582", "#92c5de"]);
var svg = d3.select('#chart').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 + ")");
var categoriesNames = data.map(function(d) {
return d.time;
}); // the 5 time periods
var trapNames = data[0].values.map(function(d) {
return d.trap;
}); // the name of the traps
console.log(trapNames);
x0.domain(categoriesNames);
x1.domain(trapNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(category) {
return d3.max(category.values, function(d) {
return d.specimen_count;
});
})]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.style('opacity', '0')
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.style('font-weight', 'bold')
.text("Value");
svg.select('.y').transition().duration(500).delay(1300).style('opacity', '1');
var slice = svg.selectAll(".slice")
.data(data)
.enter().append("g")
.attr("class", "slice")
.attr("transform", function(d) {
return "translate(" + x0(d.time) + ",0)";
});
slice.selectAll("rect")
.data(function(d) {
return d.values;
})
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) {
return x1(d.trap);
})
.style("fill", function(d) {
return color(d.trap)
})
.attr("y", function(d) {
return y(0);
})
.attr("height", function(d) {
return height - y(0);
})
.on("mouseover", function(d) {
d3.select(this).style("fill", d3.rgb(color(d.trap)).darker(2));
})
.on("mouseout", function(d) {
d3.select(this).style("fill", color(d.trap));
});
slice.selectAll("rect")
.transition()
.delay(function(d) {
return Math.random() * 1000;
})
.duration(1000)
.attr("y", function(d) {
return y(d.specimen_count);
})
.attr("height", function(d) {
return height - y(d.specimen_count);
});
var valueline = d3.svg.line()
.x(function(d) {
return x1(d.trap) + x1.rangeBand() / 2;
})
.y(function(d) {
return y(d.species);
});
slice
.append('path')
.attr('class', 'line')
.style('stroke', "#0571b0")
.style('stroke-width', "3px")
.attr('fill', 'none')
.attr('d', function(d) {
return valueline(d.values);
});
slice.selectAll('.dot').data(function(d) {
return d.values;
})
.enter()
.append("circle")
.attr("class", "dot")
.attr("r", 5)
.attr("cx", function(d) {
return x1(d.trap) + x1.rangeBand() / 2;
})
.attr("cy", function(d) {
return y(d.species);
})
.attr("fill", "#0571b0");
</script>
</body>
</html>
I have a bar chart that updates based on the results selected in a drop-down menu. When I change the selcetion, I get negaitve "y" values. It seems that my domain does not get updated with the new data. When I hard code the domain, my "y" are what I expect them to be. Anyone knows why ? Any other other comments (formatting, etc) welcomed.
var new_data;
//Create SVG margins and patting for the interior
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 600 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
//Create Scale
var xScale = d3
.scale
.ordinal()
.rangeRoundBands([margin.left, width], .1);
;
var yScale = d3
.scale
.linear()
.range([height, 0])
;
var xAxis = d3
.svg
.axis()
.scale(xScale)
.orient("bottom")
.tickPadding([5])
;
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left")
.ticks(10)
;
//Create SVG with the above specs
var svg = d3.select("#container")
.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
.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
;
svg
.append("g")
.attr("class", "y axis")
.append("text") // just for the title (ticks are automatic)
.attr("transform", "rotate(-90)") // rotate the text!
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("frequency")
;
var temp = svg
.append("g")
.attr("class", "domx")
;
d3.csv("data3.csv", function(error, csv_data) {
// Filter the dataset to only get dept_1
var new_data = csv_data.filter(function(d) {
return d['dept'] == 'dept_1';
});
// function to handle histogram.
function histoGram(new_data){
//Create Scales
xScale
.domain(new_data.map(function(d) {return d.Pos;}))
;
yScale
// .domain([0, d3.max(new_data, function(d) { return d.Value; })])
.domain([0, d3.max(new_data, function(d) { return d.Value; })])
// .domain([0, 20])
;
svg
.select(".x.axis")
.transition()
.duration(1500)
.call(xAxis)
;
svg
.select(".y.axis")
.transition()
.duration(1500)
.call(yAxis)
;
// Data Join
var MyGroups = temp
.selectAll("g")
.data(new_data);
;
var MyGroupsEnter = MyGroups
.enter()
.append("g")
;
//Update
MyGroups
.attr("class", "update")
;
//Enter
MyGroupsEnter
.append("rect")
.attr("class", "enter")
.attr("x", function(d) { return xScale(d.Pos); })
.attr("y", function(d) { return (yScale(d.Value));})
.attr("width", xScale.rangeBand())
.attr("height", function(d) { return (height - yScale(d.Value)); })
.text(function(d) { return d.Value; })
.attr("fill", function(d) {return "rgb(0, 0, 0)";})
.style("fill-opacity", 0.2)
;
MyGroupsEnter
.append("text")
.attr("class", "text")
.text(function(d) { return d.Value; })
.attr("font-family", "sans-serif")
.attr("font-size", "11px")
.attr("fill", "black")
.attr("text-anchor", "middle")
.attr("x", function(d) { return xScale(d.Pos) + xScale.rangeBand()/2; })
.attr("y", function(d) { return yScale(d.Value) - 10; })
;
//Enter + Update
MyGroups
.transition()
.duration(1500)
.select("rect")
.attr("x", function(d) { return xScale(d.Pos); })
.attr("width", xScale.rangeBand())
.attr("y", function(d) { return (yScale(d.Value));})
.attr("height", function(d) { return (height - yScale(d.Value)); })
.text(function(d) { return d.Value; })
.style("fill-opacity", 1) // set the fill opacity
.attr("fill", function(d) {return "rgb(0, 0, " + (d.Value * 30) + ")";})
;
MyGroups
.transition()
.duration(1500)
.select("text")
.attr("class", "text")
.text(function(d) { return d.Value; })
.attr("font-family", "sans-serif")
.attr("font-size", "11px")
.attr("fill", "black")
.attr("text-anchor", "middle")
.attr("x", function(d) { return xScale(d.Pos) + xScale.rangeBand()/2; })
.attr("y", function(d) { return yScale(d.Value) - 8; })
;
MyGroups
.exit()
.transition()
.duration(1500)
.remove()
;
}
histoGram(new_data);
var options = ["dept_1","dept_2","dept_3"];
var dropDown = d3
.select("#sel_button")
.append("select")
.attr("name", "options-list")
.attr("id", "id-name");
var options = dropDown
.selectAll("option")
.data(options)
.enter()
.append("option");
options
.text(function (d) { return d; })
.attr("value", function (d) { return d; });
d3.select("#id-name")
.on("change", function() {
var value = d3.select(this).property("value");
var new_data2 = csv_data.filter(function(d) {
return d['dept'] == value;
});
histoGram(new_data2);
});
});
Here is the data:
dept,Pos,Value
dept_1,d1_p1,1
dept_1,d1_p10,10
dept_1,d1_p11,11
dept_1,d1_p12,12
dept_2,d2_p1,1.5
dept_2,d2_p2,3
dept_2,d2_p3,4.5
dept_2,d2_p4,6
dept_2,d2_p5,7.5
dept_2,d2_p6,9
dept_2,d2_p7,10.5
dept_2,d2_p8,12
dept_2,d2_p9,13.5
dept_2,d2_p10,15
dept_2,d2_p11,16.5
dept_2,d2_p12,17.5
dept_2,d2_p13,18.5
dept_3,d3_p1,5
dept_3,d3_p2,7
dept_3,d3_p3,10
Firgured out what was my problem. I hadn't defined the format of the values. The max function was returning the maximum number out of character values (9). I added the following piece of code prior to the domain function and everything now works fines.
csv_data.forEach(function(d) {
d.dept = d.dept;
d.Pos = d.Pos;
d.Value = +d.Value;
});
I was trying to refactor this bar chart in d3 to be a horizontal bar chart. I think I've isolated the three areas that need to be changed:
the original scale declarations:
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], 0.1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
The domain definitions:
x0.domain(data.map(function(d) { return d.deviceType; }));
x1.domain(deviceClass).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.whenPurchased, function(d) { return d.value; }); })]);
the rect appending and positioning:
device.selectAll("rect")
.data(function(d) { return d.whenPurchased; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.device); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.device); });
I can't seem to get the refactoring right and I think that is because I don't exactly get how domain works for x0 and basically not getting that right has a waterfall effect of everything else not working.
I put the full example here: JSFIDDLE
Here's a quick refactor:
var margin = {top: 20, right: 20, bottom: 30, left: 270},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var y0 = d3.scale.ordinal()
.rangeRoundBands([0, height], 0.1);
var y1 = d3.scale.ordinal();
var x = d3.scale.linear()
.range([0, width]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y0)
.orient("left");
// .tickFormat(d3.format(".2s"));
var svg = d3.select("#deviceown-barchart").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 + ")");
var data = d3.csv.parse( d3.select("pre#data").text() );
var deviceClass = d3.keys(data[0]).filter(function(key) { return key !== "deviceType"; });
data.forEach(function(d) {
d.whenPurchased = deviceClass.map(function(device) { return {device: device, value: +d[device]}; });
});
y0.domain(data.map(function(d) { return d.deviceType; }));
y1.domain(deviceClass).rangeRoundBands([0, y0.rangeBand()]);
x.domain([0, d3.max(data, function(d) { return d3.max(d.whenPurchased, function(d) { return d.value; }); })]);
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", 6)
.attr("dy", ".71em")
.style("text-anchor", "end");
var device = svg.selectAll(".device")
.data(data)
.enter().append("g")
.attr("class", "device")
.attr("transform", function(d) { return "translate(0," + y0(d.deviceType) + ")"; });
device.selectAll("rect")
.data(function(d) { return d.whenPurchased; })
.enter().append("rect")
.attr("height", y1.rangeBand())
.attr("y", function(d) { return y1(d.device); })
.attr("x", 0)
.style("fill", function(d) { return color(d.device); })
.attr("width", 0)
.transition()
.duration(1500)
.attr("width", function(d) { return x(d.value); });
var legend = svg.selectAll(".legend")
.data(deviceClass.slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
// });
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.y.axis path {
display: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<div id="deviceown-barchart"></div>
<pre id="data">
deviceType,Within the last 6 months,More than 6 months ago
Netatmo Weather Station,0.14,0.09
Nest Learning Thermostat,0.13,0.14
Philips Hue Connected Bulb,0.13,0.08
Nest Cam,0.12,0.12
Belkin WeMo Switch + Motion,0.09,0.08
Nest Protect,0.08,0.12
Canary,0.08,0.03
Other smart home security device,0.08,0.12
August Smart Lock,0.06,0.07
Other connected home appliance,0.05,0.08
GE/Quirky Aros Smart AC,0.04,0.04
Other smart energy monitor,0,0.03
</pre>
Updated fiddle.
i am trying to create a stacked bar graph.
however i can't seem to get the alignment right.the graph has two axis.
because of the length of the y axis label it is partially blocked.
i tried solving this by using different CSS styles on the label and on the enclosing div,
but they did not have the desired affect.
i created a jsfidel to explain my case.
http://jsfiddle.net/2khbceut/1/
HTML
<title>Diverging Stacked Bar Chart with D3.js</title>
<body>
<div id="figure" align="center" style="margin-bottom: 50px;"></div>
</body>
javascript
$(document).ready(getTopolegy());
function getTopolegy(){
var data = null;
var links = parseTopology(data);
createChart(links);
}
function parseTopology(data){
var links=[{1:5,2:5,3:10,N:20,link_name: "Link 167772376>>167772375"}];
return links;
}
function jsonNameToId(name){
switch (allocated_priority) {
case "allocated_priority":
return 1;
case "allocated_default":
return 2;
case "spare_capacity":
return 3;
case "total":
return "N";
default:
return 999;
}
}
function createChart(data){
var margin = {top: 50, right: 20, bottom: 10, left: 65},
width = 1000 - margin.left - margin.right,
height = 1000 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.rangeRoundBands([0, height], .3);
var x = d3.scale.linear()
.rangeRound([0, width]);
var color = d3.scale.ordinal()
.range(["#cccccc", "#92c6db", "#086fad"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("top");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
var svg = d3.select("#figure").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.attr("id", "d3-plot")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
color.domain(["Allocated Priority %", "Allocated Default %", "Spare Capacity %"]);
// d3.csv("js/raw_data.csv", function(error, data) {
data.forEach(function(d) {
d["Allocated Priority %"] = +d[1]*100/d.N;
d["Allocated Default %"] = +d[2]*100/d.N;
d["Spare Capacity %"] = +d[3]*100/d.N;
var x0 = 0;
var idx = 0;
d.boxes = color.domain().map(function(name) { return {name: name, x0: x0, x1: x0 += +d[name], N: +d.N, n: +d[idx += 1]}; });
});
var min_val = d3.min(data, function(d) {
return d.boxes["0"].x0;
});
var max_val = d3.max(data, function(d) {
return d.boxes["2"].x1;
});
x.domain([min_val, max_val]).nice();
y.domain(data.map(function(d) { return d.link_name; }));
svg.append("g")
.attr("class", "x axis")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
var vakken = svg.selectAll(".Link")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d) { return "translate(0," + y(d.link_name) + ")"; });
var bars = vakken.selectAll("rect")
.data(function(d) { return d.boxes; })
.enter().append("g").attr("class", "subbar");
bars.append("rect")
.attr("height", y.rangeBand())
.attr("x", function(d) { return x(d.x0); })
.attr("width", function(d) { return x(d.x1) - x(d.x0); })
.style("fill", function(d) { return color(d.name); });
bars.append("text")
.attr("x", function(d) { return x(d.x0); })
.attr("y", y.rangeBand()/2)
.attr("dy", "0.5em")
.attr("dx", "0.5em")
.style("font" ,"10px sans-serif")
.style("text-anchor", "begin")
.text(function(d) { return d.n !== 0 && (d.x1-d.x0)>3 ? d.n : "" });
vakken.insert("rect",":first-child")
.attr("height", y.rangeBand())
.attr("x", "1")
.attr("width", width)
.attr("fill-opacity", "0.5")
.style("fill", "#F5F5F5")
.attr("class", function(d,index) { return index%2==0 ? "even" : "uneven"; });
svg.append("g")
.attr("class", "y axis")
.append("line")
.attr("x1", x(0))
.attr("x2", x(0))
.attr("y2", height);
var startp = svg.append("g").attr("class", "legendbox").attr("id", "mylegendbox");
// this is not nice, we should calculate the bounding box and use that
var legend_tabs = [0, 150, 300];
var legend = startp.selectAll(".legend")
.data(color.domain().slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(" + legend_tabs[i] + ",-45)"; });
legend.append("rect")
.attr("x", 0)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", 22)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "begin")
.style("font" ,"10px sans-serif")
.text(function(d) { return d; });
d3.selectAll(".axis path")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
d3.selectAll(".axis line")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
var movesize = width/2 - startp.node().getBBox().width/2;
d3.selectAll(".legendbox").attr("transform", "translate(" + movesize + ",0)");
// });
}
i will appreciate any insight you have on this matter.