我正在查询数据库并将结果添加到json文件中,并尝试为同一页面中的每条记录生成图表。
这是我生成的查询mySql数据库的JSON数据集(单个文件中的所有记录)。现在我想为每条记录生成图表(条形图或饼图就够了)。这可能吗?
[
//record1
{"ProductType1":"999999","value1":"99"},
{"ProductType1":"88888","value1":"88"},
{"ProductType1":"77777","value1":"77"},
{"ProductType1":"999999","value1":"99"},
//record 2
{"ProductType":"132023","value":"144"},
{"ProductType":"132030","value":"275"},
{"ProductType":"132053","value":"42"},
{"ProductType":"132093","value":"1"},
{"ProductType":"132197","value":"94"},
//record 3
{"ProductType2":"132207","value2":"23"},
{"ProductType2":"304055","value2":"51"},
{"ProductType2":"520002","value2":"27"},
{"ProductType2":"522275","value2":"34"}
]
Or please suggest some other workarounds to get this done
答案 0 :(得分:1)
我会按照以下步骤完成。
首先为数据数组创建键值映射。(如果键值名称具有常规模式,则可以从数据数组中动态生成它)
var keyMap = [{
category: 'ProductType',
value: 'value'
}, {
category: 'ProcessType',
value: 'errorcount'
}, {
category: 'Message',
value: 'count'
}];
将“对象阵列”格式的现有数据转换为“阵列阵列”格式。
var formattedData = d3.nest()
.key(function(d) { return Object.keys(d)[0]; })
.entries(data)
.map(function(d){ return d.values });
创建关键地图后,您可以迭代数据数组并创建图表,如下面的代码段所示。
以下是示例代码段。
var width = 300,
height = 155,
radius = Math.min(width, height) / 3;
var keyMap = [{
category: 'ProductType1',
value: 'value1'
}, {
category: 'ProductType',
value: 'value'
}, {
category: 'ProductType2',
value: 'value2'
}];
var data =[
{"ProductType1":"999999","value1":"99"},
{"ProductType1":"88888","value1":"88"},
{"ProductType1":"77777","value1":"77"},
{"ProductType1":"999999","value1":"99"},
{"ProductType":"132023","value":"144"},
{"ProductType":"132030","value":"275"},
{"ProductType":"132053","value":"42"},
{"ProductType":"132093","value":"1"},
{"ProductType":"132197","value":"94"},
{"ProductType2":"132207","value2":"23"},
{"ProductType2":"304055","value2":"51"},
{"ProductType2":"520002","value2":"27"},
{"ProductType2":"522275","value2":"34"}
];
var formattedData = d3.nest()
.key(function(d) { return Object.keys(d)[0]; })
.entries(data).map(function(d){ return d.values });
formattedData.forEach(function(pieData, i) {
var color = d3.scale.category10();
var arc = d3.svg.arc()
.outerRadius(radius - 10)
.innerRadius(0);
var labelArc = d3.svg.arc()
.outerRadius(radius - 40)
.innerRadius(radius - 40);
var svg = d3.select("body")
.append("div")
.attr("width",width)
.attr("height",height)
.append("svg")
.attr("width", "100%")
.attr("height", "100%")
.append("g")
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")");
var pie = d3.layout.pie()
.sort(null)
.value(function(d) {
console.log(keyMap[i].value, d);
return d[keyMap[i].value];
});
var g = svg.selectAll(".arc")
.data(pie(pieData))
.enter().append("g")
.attr("class", "arc");
g.append("path")
.attr("d", arc)
.style("fill", function(d, j) {
return color(j);
});
g.append("text")
.attr("transform", function(d) {
return "translate(" + labelArc.centroid(d) + ")";
})
.attr("dy", ".35em")
.text(function(d) {
return d.data[keyMap[i].category];
});
function type(d) {
d[keyMap[i].value] = +d[keyMap[i].value];
return d;
}
});

.arc text {
font: 10px sans-serif;
text-anchor: middle;
}
.arc path {
stroke: #fff;
}
div{
float:left;
}

<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
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