blob: 9c0eca1397d18bcedbf17fa2bd5e5b8f73840851 [file] [log] [blame]
var indices = {
name: 0,
group: 1,
id: 16
};
var schema = [
{name: 'name', index: 0},
{name: 'group', index: 1},
{name: 'protein', index: 2},
{name: 'calcium', index: 3},
{name: 'sodium', index: 4},
{name: 'fiber', index: 5},
{name: 'vitaminc', index: 6},
{name: 'potassium', index: 7},
{name: 'carbohydrate', index: 8},
{name: 'sugars', index: 9},
{name: 'fat', index: 10},
{name: 'water', index: 11},
{name: 'calories', index: 12},
{name: 'saturated', index: 13},
{name: 'monounsat', index: 14},
{name: 'polyunsat', index: 15},
{name: 'id', index: 16}
];
var fieldIndices = schema.reduce(function (obj, item) {
obj[item.name] = item.index;
return obj;
}, {});
var groupCategories = [];
var groupColors = [];
var data;
// zlevel 为 1 的层开启尾迹特效
myChart.getZr().configLayer(1, {
motionBlur: 0.5
});
$.get(ROOT_PATH + '/data/asset/data/nutrients.json', function (originData) {
data = normalizeData(originData).slice(0, 1000);
myChart.setOption(option = getOption(data));
});
function normalizeData(originData) {
var groupMap = {};
originData.forEach(function (row) {
var groupName = row[indices.group];
if (!groupMap.hasOwnProperty(groupName)) {
groupMap[groupName] = 1;
}
});
originData.forEach(function (row) {
row.forEach(function (item, index) {
if (index !== indices.name
&& index !== indices.group
&& index !== indices.id
) {
// Convert null to zero, as all of them under unit "g".
row[index] = parseFloat(item) || 0;
}
});
});
for (var groupName in groupMap) {
if (groupMap.hasOwnProperty(groupName)) {
groupCategories.push(groupName);
}
}
var hStep = Math.round(300 / (groupCategories.length - 1));
for (var i = 0; i < groupCategories.length; i++) {
groupColors.push(echarts.color.modifyHSL('#5A94DF', hStep * i));
}
return originData;
}
function getOption(data) {
return {
backgroundColor: '#2c343c',
tooltip: {
padding: 10,
backgroundColor: '#222',
borderColor: '#777',
borderWidth: 1
},
xAxis: {
name: 'protein',
splitLine: {show: false},
axisLine: {
lineStyle: {
color: '#fff'
}
},
axisLabel: {
color: '#fff'
},
axisTick: {
lineStyle: {
color: '#fff'
}
}
},
yAxis: {
name: 'calcium',
splitLine: {show: false},
axisLine: {
lineStyle: {
color: '#fff'
}
},
axisLabel: {
color: '#fff'
},
axisTick: {
lineStyle: {
color: '#fff'
}
}
},
visualMap: [{
show: false,
type: 'piecewise',
categories: groupCategories,
dimension: 2,
inRange: {
color: groupColors //['#d94e5d','#eac736','#50a3ba']
},
outOfRange: {
color: ['#ccc'] //['#d94e5d','#eac736','#50a3ba']
},
top: 20,
textStyle: {
color: '#fff'
},
realtime: false
}, {
show: false,
dimension: 3,
max: 1000,
inRange: {
colorLightness: [0.15, 0.6]
}
}],
series: [
{
zlevel: 1,
name: 'nutrients',
type: 'scatter',
data: data.map(function (item, idx) {
return [item[2], item[3], item[1], idx];
}),
animationThreshold: 5000,
progressiveThreshold: 5000
}
],
animationEasingUpdate: 'cubicInOut',
animationDurationUpdate: 2000
};
}
var fieldNames = schema.map(function (item) {
return item.name;
}).slice(2);
app.config = {
xAxis: 'protein',
yAxis: 'calcium',
onChange: function () {
if (data) {
myChart.setOption({
xAxis: {
name: app.config.xAxis
},
yAxis: {
name: app.config.yAxis
},
series: {
data: data.map(function (item, idx) {
return [
item[fieldIndices[app.config.xAxis]],
item[fieldIndices[app.config.yAxis]],
item[1],
idx
];
})
}
});
}
}
};
app.configParameters = {
xAxis: {
options: fieldNames
},
yAxis: {
options: fieldNames
}
};