如何在d3中的多边形内绘制图像 [英] how to plot the image inside the polygon in d3
本文介绍了如何在d3中的多边形内绘制图像的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
大家好，我正在使用带有多边形的d3图表我有一个地图结构d3图表并绘制一个圆圈以显示工具提示，现在我需要显示一张图像'
hi all i am using d3 chart with polygon i have one map structure d3 chart and plot one circle for the purpose of show tooltip now my need is i need to show one image 'https://i.stack.imgur.com/O9xB5.png' to replace the circle so when mouse over the image i shown tooltip and another need show 'State Abbr' inside polygon like Ak,TD,PD... .help ow to do this here i attached my code files
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<script src="http://d3js.org/d3.v3.min.js"></script>
<style type="text/css">
/* On mouse hover, lighten state color */
path:hover {
fill-opacity: .7;
}
/* Style for Custom Tooltip */
div.tooltip {
position: absolute;
text-align: center;
width: 60px;
height: 28px;
padding: 2px;
font: 12px sans-serif;
background: white;
border: 0px;
border-radius: 8px;
pointer-events: none;
}
/* Legend Font Style */
body {
font: 11px sans-serif;
}
/* Legend Position Style */
.legend {
position:absolute;
left:800px;
top:350px;
}
</style>
</head>
<body>
<script type="text/javascript">
//Width and height of map
var width = 960;
var height = 500;
// D3 Projection
var projection = d3.geo.albersUsa()
.translate([width/2, height/2])
.scale([1000]);
// Define path generator
var path = d3.geo.path()
.projection(projection);
// Define linear scale for output
var color = d3.scale.linear()
.range(["green","red"]);
var legendText = ["Population Present", "Population Absent"];
var svg = d3.select("body")
.append("svg")
.attr("width", width)
.attr("height", height);
var div = d3.select("body")
.append("div")
.attr("class", "tooltip")
.style("opacity", 0);
// Load in my states data!
d3.csv("Population_education.csv", function(data) {
// Load GeoJSON data and merge with states data
d3.json("us-states.json", function(json) {
// Loop through each state data value in the .csv file
for (var i = 0; i < data.length; i++) {
// Grab State Name
var dataState = data[i].SiteState;
// Get Population
var dataPop = data[i].Population;
// Grab data value
if(data[i].Members > 0) {
var dataValue = 1;
}
else { var dataValue = 0;}
// Find the corresponding state inside the GeoJSON
for (var j = 0; j < json.features.length; j++) {
var jsonState = json.features[j].properties.name;
if (dataState == jsonState) {
// Copy the data value into the JSON
json.features[j].properties.MembersPresent = dataValue;
json.features[j].properties.pop = +dataPop;
// Stop looking through the JSON
break;
}
}
}
// Get Max and Min Population and update colorscale
var max = d3.max(json.features, function(d) { return d.properties.pop });
var min = d3.min(json.features, function(d) { return d.properties.pop })
color.domain([min, max]); // setting the range of the input data
// Bind the data to the SVG and create one path per GeoJSON feature
svg.selectAll("path")
.data(json.features)
.enter().append("path")
.attr("d", path)
.style("stroke", "#fff")
.style("stroke-width", "1")
.style("fill", function(d) {
return color(d.properties.pop)
});
// Map the cities I have lived in!
d3.csv("Population_education.csv", function(data) {
svg.selectAll("circle")
.data(data)
.enter()
.append("circle")
.attr("cx", function(d) {
if (d.AvgLng != 0 && d.AvgLat != 0)
return projection([d.AvgLng, d.AvgLat])[0];
})
.attr("cy", function(d) {
if (d.AvgLng != 0 && d.AvgLat != 0)
return projection([d.AvgLng, d.AvgLat])[1];
})
.attr("r", function(d) {
return 3;
})
.style("fill", "rgb(217,91,67)")
.style("opacity", 0.45)
.on("mouseover", function(d) {
div.transition()
.duration(200)
.style("opacity", .9);
div.html("State:" + d['State Abbr'] + "<br/>" + "Pop:" + d.Population)
.style("left", (d3.event.pageX) + "px")
.style("top", (d3.event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
div.transition()
.duration(500)
.style("opacity", 0);
});
});
var legend = d3.select("body").append("svg")
.attr("class", "legend")
.attr("width", 140)
.attr("height", 200)
.selectAll("g")
.data(color.domain().slice().reverse())
.enter()
.append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.data(legendText)
.attr("x", 24)
.attr("y", 9)
.attr("dy", ".35em")
.text(function(d) { return d; });
});
});
</script>
</body>
</html>
数据
Population_education.csv
Data
Population_education.csv
RowID,SiteState,State Abbr,AvgLat,AvgLng,Population
1,Alabama,AL,32.806671,-86.79113,28
2,Arizona,AZ,33.729759,-111.431221,11704
3,California,CA,36.116203,-119.681564,4356448
4,Colorado,CO,39.059811,-105.311104,374435
5,Connecticut,CT,41.597782,-72.755371,455966
6,Florida,FL,27.766279,-81.68678300000001,442537
7,Georgia,GA,33.040619,-83.643074,1339081
8,Illinois,IL,40.349457,-88.986137,29
9,Indiana,IN,39.849426,-86.258278,1525124
10,Iowa,IA,42.011539,-93.210526,185146
11,Kansas,KS,38.5266,-96.72648599999999,129301
12,Kentucky,KY,37.66814,-84.670067,621047
13,Louisiana,LA,31.169546,-91.867805,170568
14,Maine,ME,44.693947,-69.381927,222966
15,Maryland,MD,39.063946,-76.80210099999999,256966
16,Massachusetts,MA,42.230171,-71.530106,27
17,Michigan,MI,43.326618,-84.536095,27
18,Minnesota,MN,45.694454,-93.900192,11
19,Missouri,MO,38.456085,-92.28836800000001,420415
20,Nevada,NV,38.313515,-117.055374,309799
21,New Hampshire,NH,43.452492,-71.563896,195948
22,New Jersey,NJ,40.298904,-74.521011,241039
23,New Mexico,NM,34.840515,-106.248482,1945
24,New York,NY,42.165726,-74.94805100000001,1075153
25,North Carolina,NC,35.630066,-79.80641900000001,14
26,Ohio,OH,40.388783,-82.764915,1526404
27,Oregon,OR,44.572021,-122.070938,11
28,Pennsylvania,PA,40.590752,-77.209755,197
29,South Carolina,SC,33.856892,-80.945007,45
30,Tennessee,TN,35.747845,-86.692345,446667
31,Texas,TX,31.054487,-97.563461,736672
32,Vermont,VA,37.769337,-78.169968,2324640
33,Washington,WA,47.400902,-121.490494,141319
34,West Virginia,WV,38.491226,-80.954453,128275
35,Wisconsin,WI,44.268543,-89.616508,405942
36,Alaska,AK,0,0,0
37,Arkansas,AR,0,0,0
38,Delaware,DE,0,0,0
39,District of Columbia,DC,0,0,0
40,Hawaii,HI,0,0,0
41,Idaho,ID,0,0,0
42,Mississippi,MS,0,0,0
43,Montana,MT,0,0,0
44,Nebraska,NE,0,0,0
45,North Dakota,ND,0,0,0
46,South Dakota,SD,0,0,0
47,Utah,UT,0,0,0
48,Virginia,VT,0,0,0
49,Wyoming,WY,0,0,0
50,Oklahoma,OK,0,0,0
51,Rhode Island,RI,0,0,0
My us-states.json is as in the following link https://raw.githubusercontent.com/alignedleft/d3-book/master/chapter_12/us-states.json
推荐答案
向每个多边形添加图像和工具提示的代码.
Code to add image and tooltip to each polygon.
paths.each(function(d) {
if (this.getTotalLength() > 0) {
var midPoint = path.centroid(d);
svg.append("svg:image")
.attr("height", "15px")
.attr("width", "15px")
.attr("xlink:href", "https://i.stack.imgur.com/O9xB5.png")
.attr("transform", "translate(" + midPoint[0] + ", " + midPoint[1] + ")")
.append("title")
.text(d.properties.abbr);
svg.append("svg:text")
.attr("x", midPoint[0])
.attr("y", midPoint[1])
.text(d.properties.abbr);
}
});
要在数据中包含缩写详细信息，请如下所示编写代码.
To include abbr details to the data, code as shown below.
// Find the corresponding state inside the GeoJSON
for (var j = 0; j < json.features.length; j++) {
var jsonState = json.features[j].properties.name;
if (dataState == jsonState) {
// Copy the data value into the JSON
json.features[j].properties.MembersPresent = dataValue;
json.features[j].properties.pop = +dataPop;
json.features[j].properties.abbr = data[i]["State Abbr"];
// Stop looking through the JSON
break;
}
}
这篇关于如何在d3中的多边形内绘制图像的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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