问题
I am using LeafletJs and D3js to put a bar chart in a Leaflet popup window.
How can I assign a custom color for each ethnic group bar? I want to assign the custom colors within the D3 code because I can't modify the original dataset. Link
Thanks.
var onEachFeature = function onEachFeature(feature, layer) {
colors = d3.scale.category20()
var div = $('<div id="chart"><h3>Ethnic Group Distribution</h3><svg/><h4>Additional details:</h4>Extra stuff here</div>')[0];
var popup = L.popup({
minWidth: 500,
minHeight: 350
}).setContent(div);
layer.bindPopup(popup);
var values = feature.properties;
var data = [{
name: "Pashtun",
value: values["Pashtun"]
}, {
name: "Tajik",
value: values["Tajik"]
}, {
name: "Uzbek",
value: values["Uzbek"]
}, {
name: "Turkmen",
value: values["Turkmen"]
}, {
name: "Hazara",
value: values["Hazara"]
}, {
name: "Baloch",
value: values["Baloch"]
}, {
name: "Kirghiz",
value: values["Kirghiz"]
}, {
name: "Nuristani",
value: values["Nuristani"]
}, {
name: "Aimak",
value: values["Aimak"]
}, {
name: "Arab",
value: values["Arab"]
}, {
name: "Pashaye",
value: values["Pashaye"]
}, {
name: "Sadat",
value: values["Sadat"]
}, {
name: "Qezelbash",
value: values["Qezelbash"]
}];
var margin = {
top: 20,
right: 90,
bottom: 80,
left: 30
},
width = 600 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom,
barWidth = width / data.length;
var x = d3.scale.linear()
.domain([0, data.length])
.range([0, width]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickFormat(function(d) {
return "";
})
var y = d3.scale.linear()
.domain([0, 1])
.range([height, 0]);
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5)
var svg = d3.select(div)
.select("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")")
.classed("chart", true);
svg.append("g")
.attr("class", "y axis")
.call(yAxis);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
var bar = svg.selectAll("g.bar")
.data(data)
.enter()
.append("g")
.attr("transform", function(d, i) {
return "translate(" + (i * barWidth + 5) + ",0)";
});
bar.append("rect")
.attr("y", function(d) {
if (!isNaN(d.value)) {
return y(d.value);
} else {
return 0;
}
})
.attr("width", barWidth - 10)
.attr("height", function(d) {
if (!isNaN(d.value)) {
return height - y(d.value);
} else {
return 0;
}
})
.attr("fill",function(d,i){return colors(i)})
bar.append("text")
.attr("x", function(d) {
return -height - 70;
})
.attr("y", barWidth / 2)
.attr("transform", "rotate(270)")
.text(function(d) {
return d.name;
});
};
var geojson = L.geoJson(myData, {
onEachFeature: onEachFeature
}).addTo(map);
Dataset Test:
var afghanDistrictsSample = {
"type": "FeatureCollection",
"features": [{
"type": "Feature",
"properties": {
"stroke": "#555555",
"stroke-width": 2,
"stroke-opacity": 1,
"fill": "#555555",
"fill-opacity": 0.5,
"Pashtun": 0.43,
"Tajik": 0.12,
"Uzbek": 0.05,
"Turkmen": 0.00,
"Hazara": 0.00,
"District": "Argo",
"Province": "Kandahar"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[61.69921875, 32.08257455954592],
[61.69921875, 32.879587173066305],
[62.666015625, 32.879587173066305],
[62.666015625, 32.08257455954592],
[61.69921875, 32.08257455954592]
]
]
}
}, {
"type": "Feature",
"properties": {
"Pashtun": 0.32,
"Tajik": 0.20,
"Uzbek": 0.01,
"Turkmen": 0.02,
"Hazara": 0.00,
"District": "Jurm",
"Province": "Farah"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[62.75390625, 32.95336814579932],
[62.75390625, 33.76088200086917],
[63.69873046874999, 33.76088200086917],
[63.69873046874999, 32.95336814579932],
[62.75390625, 32.95336814579932]
]
]
}
}, {
"type": "Feature",
"properties": {
"Pashtun": 0.05,
"Tajik": 0.50,
"Uzbek": 0.21,
"Turkmen": 0.00,
"Hazara": 0.00,
"District": "Ragh",
"Province": "Ghor"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[63.74267578125, 33.54139466898275],
[63.74267578125, 34.43409789359469],
[65.14892578125, 34.43409789359469],
[65.14892578125, 33.54139466898275],
[63.74267578125, 33.54139466898275]
]
]
}
}, {
"type": "Feature",
"properties": {
"Pashtun": 0.00,
"Tajik": 0.01,
"Uzbek": 0.10,
"Turkmen": 0.20,
"Hazara": 0.40,
"District": "Highan",
"Province": "Kabul"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[64.53369140625, 35.15584570226544],
[64.53369140625, 35.94243575255426],
[65.56640625, 35.94243575255426],
[65.56640625, 35.15584570226544],
[64.53369140625, 35.15584570226544]
]
]
}
}, {
"type": "Feature",
"properties": {
"Pashtun": 0.00,
"Tajik": 0.01,
"Uzbek": 0.20,
"Turkmen": 0.30,
"Hazara": 0.04,
"District": "Nusay",
"Province": "Kunduz"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[65.58837890625, 33.30298618122413],
[65.58837890625, 34.32529192442733],
[66.90673828125, 34.32529192442733],
[66.90673828125, 33.30298618122413],
[65.58837890625, 33.30298618122413]
]
]
}
}, {
"type": "Feature",
"properties": {
"Pashtun": 0.20,
"Tajik": 0.00,
"Uzbek": 0.00,
"Turkmen": 0.10,
"Hazara": 0.20,
"District": "Zebak",
"Province": "Logar"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[65.98388671875, 34.72355492704219],
[65.98388671875, 35.53222622770337],
[66.95068359374999, 35.53222622770337],
[66.95068359374999, 34.72355492704219],
[65.98388671875, 34.72355492704219]
]
]
}
}, {
"type": "Feature",
"properties": {
"Pashtun": 0.10,
"Tajik": 0.10,
"Uzbek": 0.28,
"Turkmen": 0.10,
"Hazara": 0.00,
"District": "Wakhan",
"Province": "Nimruz"
},
"geometry": {
"type": "Polygon",
"coordinates": [
[
[67.32421875, 34.43409789359469],
[67.32421875, 35.42486791930558],
[68.37890625, 35.42486791930558],
[68.37890625, 34.43409789359469],
[67.32421875, 34.43409789359469]
]
]
}
}]
};
回答1:
Instead of using the built-in categorical colors...
colors = d3.scale.category20()
...you could try using an ordinal scale...
var colors = d3.scale.ordinal()
.domain(['Pashtun','Tajik','Uzbek', 'Turkmen', 'Hazara', 'Baloch','Kirghiz','Nuristani','Aimak', 'Arab','Pashaye','Sadat','Qezelbash'])
.range(['red', 'white', 'green', 'blue', 'yellow', 'pink', 'lime', 'black', 'navy', 'silver', 'skyblue', 'purple', 'olive' ])
...then modify your code to do a lookup on the name:
.attr("fill", function(d, i) { return colors(d.name) })
I didn't test the code, but you could read more about ordinal scales here if it doesn't work: https://github.com/mbostock/d3/wiki/Ordinal-Scales
Alternatively, you could simply add a class to the element...
.attr("class", function(d, i) { return 'bar_' + d.name} )
... and class it in your CSS:
.bar_Pashtun { fill: blue }
来源：https://stackoverflow.com/questions/36219431/how-to-assign-custom-colors-to-bars-in-a-d3-js-bar-chart