我有一个条形图和逐年，按月，日期的折线图。所有图表都正确显示数据。
当我选择特定年份和特定月份时，我希望日期线图和日期条形图仅显示所选月份。但现在它显示了今年的所有日期。
我的代码是：
skuRowChart = dc.rowChart("#chart-row-spenders");
yearPieChart = dc.pieChart("#chart-pie-year");
yearLineChart = dc.lineChart('#Yearly-move-chart');
spendHistChart22 = dc.barChart("#chart-hist-spend22");
moveChart1 = dc.lineChart('#monthly-move-chart1');
monthBarChart = dc.barChart("#chart-row-barchart");
movelineChart = dc.lineChart("#monthly-move-chart");
function reduceAdd(p, v) {
++p.count;
p.total += v.sr;
p.average = p.count ? p.total / p.count : 0;
return p;
}
function reduceRemove(p, v) {
--p.count;
p.total -= v.sr;
p.average = p.count ? p.total / p.count : 0;
return p;
}
function reduceInitial() {
return {
count: 0,
total: 0,
average: 0
};
}
var parseDate = d3.time.format("%m/%d/%Y").parse;
var yearFormat = d3.time.format('%Y');
var dayformat = d3.time.format('%Y-%m-%d');
var monthFormat = d3.time.format("%m");
//var monthNameFormat = d3.time.format("%b");
var monthNameFormat = d3.time.format('%m.%b');
var spendData = [{
ct: 'KF',
kw: 'Amazon',
sr: '35978',
sd: '12/29/2016'
},
{
ct: 'KF',
kw: 'Amazon',
sr: '32178',
sd: '11/2/2016'
},
{
ct: 'KF',
kw: 'Amazon',
sr: '30978',
sd: '1/2/2017'
},
{
ct: 'KF',
kw: 'Amazon',
sr: '28978',
sd: '1/15/2017'
},
{
ct: 'KF',
kw: 'Build',
sr: '28343',
sd: '12/29/2016'
},
{
ct: 'KF',
kw: 'Build',
sr: '29653',
sd: '11/29/2016'
},
{
ct: 'KF',
kw: 'Build',
sr: '26343',
sd: '10/29/2016'
},
{
ct: 'KF',
kw: 'Build',
sr: '28343',
sd: '2/2/2017'
},
{
ct: 'KF',
kw: 'Build',
sr: '28343',
sd: '3/26/2017'
},
{
ct: 'KF',
kw: 'Homedepot',
sr: '221206',
sd: '12/29/2016'
},
{
ct: 'KF',
kw: 'Homedepot',
sr: '203206',
sd: '11/27/2016'
},
{
ct: 'KF',
kw: 'Homedepot',
sr: '193206',
sd: '10/2/2016'
},
{
ct: 'KF',
kw: 'wayfair',
sr: '77794',
sd: '12/29/2016'
},
{
ct: 'KF',
kw: 'wayfair',
sr: '71794',
sd: '11/9/2016'
},
{
ct: 'KF',
kw: 'wayfair',
sr: '70794',
sd: '1/9/2017'
},
{
ct: 'KF',
kw: 'wayfair',
sr: '74794',
sd: '2/19/2017'
},
{
ct: 'KF',
kw: 'wayfair',
sr: '74794',
sd: '3/21/2017'
},
{
ct: 'KF',
kw: 'Houzz',
sr: '408684',
sd: '12/29/2016'
},
{
ct: 'KF',
kw: 'Houzz',
sr: '42684',
sd: '11/22/2016'
},
{
ct: 'KF',
kw: 'Houzz',
sr: '46684',
sd: '10/2/2016'
},
{
ct: 'KF',
kw: 'Houzz',
sr: '496684',
sd: '1/2/2017'
},
{
ct: 'KF',
kw: 'Houzz',
sr: '49684',
sd: '2/2/2017'
},
{
ct: 'KF',
kw: 'Houzz',
sr: '49664',
sd: '3/2/2017'
},
{
ct: 'KF',
kw: 'express',
sr: '32004',
sd: '12/29/2016'
},
{
ct: 'KF',
kw: 'express',
sr: '30004',
sd: '11/2/2016'
},
{
ct: 'KF',
kw: 'express',
sr: '35004',
sd: '10/2/2016'
},
{
ct: 'KF',
kw: 'express',
sr: '35004',
sd: '12/2/2016'
},
{
ct: 'KF',
kw: 'yahoo',
sr: '115618',
sd: '12/29/2016'
},
{
ct: 'KF',
kw: 'yahoo',
sr: '12546',
sd: '10/2/2016'
},
{
ct: 'KF',
kw: 'yahoo',
sr: '65423',
sd: '11/29/2016'
},
{
ct: 'KF',
kw: 'yahoo',
sr: '25698',
sd: '10/29/2016'
},
{
ct: 'KF',
kw: 'google',
sr: '404991',
sd: '1/29/2017'
},
{
ct: 'KF',
kw: 'google',
sr: '404991',
sd: '2/2/2017'
},
{
ct: 'KF',
kw: 'google',
sr: '404991',
sd: '3/12/2017'
},
{
ct: 'KF',
kw: 'google',
sr: '404991',
sd: '3/3/2017'
},
{
ct: 'KF',
kw: 'pingserach',
sr: '273944',
sd: '12/29/2016'
}
];
// d3.csv("hhh.csv", function (error, salesrank) {
spendData.forEach(function(d) {
d.sr = +d.sr;
d.Date = parseDate(d.sd);
d.Year = yearFormat(d.Date);
d.date11 = dayformat(d.Date);
d.Month = monthNameFormat(d.Date);
});
var ndx = crossfilter(spendData);
var all = ndx.groupAll();
SkuDim = ndx.dimension(function(d) {
return d.kw;
});
spendPerSku = SkuDim.group().reduceCount();
yearDim = ndx.dimension(function(d) {
return d.Year;
});
year_total = yearDim.group().reduceCount(function(d) {
return d.sr;
});
exptAvgGroup = yearDim.group().reduce(reduceAdd, reduceRemove, reduceInitial);
monthDim = ndx.dimension(function(d) {
return d.Month;
});
exptAvgGroup11 = monthDim.group().reduce(reduceAdd, reduceRemove, reduceInitial);
month_total = monthDim.group().reduceCount(function(d) {
return d.sr;
});
daillyDim = ndx.dimension(function(d) {
return d.date11;
});
dailly_total = daillyDim.group().reduceCount(function(d) {
return d.sr;
});
exptAvgGroup111 = daillyDim.group().reduce(reduceAdd, reduceRemove, reduceInitial);
skuRowChart
.width(350)
.height(300)
.dimension(SkuDim)
.group(spendPerSku)
.elasticX(true)
.x(d3.scale.linear().domain([6, 20]))
.ordering(function(d) {
return -d.value
})
// .cap(40)
//.margins({top: -30, left: 0, right: 0, bottom: 0})
.controlsUseVisibility(true);
skuRowChart.data(function(group) {
return group.top(50);
});
yearPieChart
.width(250).height(250)
.dimension(yearDim)
.group(year_total)
.innerRadius(60)
.controlsUseVisibility(true);
yearLineChart
.width(380)
.height(280)
.x(d3.scale.ordinal())
.xUnits(dc.units.ordinal)
.renderHorizontalGridLines(true)
.renderVerticalGridLines(true)
.renderArea(true)
.valueAccessor(function(p) {
//console.log("p.value.average: ", p.value.average) //displays the avg fine
return d3.round(p.value.average, 0);
})
//.brushOn(true)
.elasticY(true)
.xAxisLabel('Years')
.yAxisLabel('Review Count')
//.dimension(moveMonths)
.dimension(yearDim)
.group(exptAvgGroup)
//.margins({ top: 10, left: 60, right:40, bottom: 60 })
.margins({
top: 0,
left: 60,
right: 30,
bottom: 60
})
spendHistChart22
.width(400).height(280)
.dimension(monthDim)
//.dimension(dateeddim)
// .group(dateeddimGroup)
.group(month_total)
.xAxisLabel('Months')
.yAxisLabel('')
.x(d3.scale.ordinal())
.xUnits(dc.units.ordinal)
.ordering(function(d) {
return d.key
})
.elasticX(true)
.elasticY(true)
.margins({
top: 10,
left: 60,
right: 40,
bottom: 60
})
.controlsUseVisibility(true)
spendHistChart22.xAxis().tickFormat(d => d.substr(3))
moveChart1
.width(380)
.height(310)
//.x(d3.scale.ordinal().domain(map(function (d) {return d.Month;})))
.x(d3.scale.ordinal())
.xUnits(dc.units.ordinal)
.valueAccessor(function(p) {
//console.log("p.value.average: ", p.value.average) //displays the avg fine
return d3.round(p.value.average, 0);
})
.renderHorizontalGridLines(true)
.renderVerticalGridLines(true)
.renderArea(true)
//.clipPadding(10)
//.brushOn(false)
.elasticY(true)
.xAxisLabel('Months')
.yAxisLabel('')
.dimension(monthDim)
.group(exptAvgGroup11)
.margins({
top: 40,
left: 60,
right: 30,
bottom: 60
})
moveChart1.xAxis().tickFormat(d => d.substr(3))
monthBarChart
.width(400).height(280)
.dimension(daillyDim)
.group(exptAvgGroup111)
.xAxisLabel('Dates')
.yAxisLabel('salesrank(average)')
.valueAccessor(function(p) {
return d3.round(p.value.average, 0);
})
.x(d3.scale.ordinal())
.xUnits(dc.units.ordinal)
.ordering(function(d) {
return d.key
})
.elasticX(true)
.elasticY(true)
.margins({
top: 10,
left: 70,
right: 40,
bottom: 80
})
.controlsUseVisibility(true)
.renderlet(function(chart) {
chart.selectAll("g.x text").attr('dx', '-30').attr('dy', '4').attr('transform', "rotate(-45)");
});
// monthBarChart.xAxis().tickFormat(d => d.substr(3))
movelineChart
.width(380)
.height(300)
.x(d3.scale.ordinal())
.xUnits(dc.units.ordinal)
.renderHorizontalGridLines(true)
.renderVerticalGridLines(true)
.renderArea(true)
.valueAccessor(function(p) {
//console.log("p.value.average: ", p.value.average) //displays the avg fine
return d3.round(p.value.average, 0);
})
//.brushOn(true)
.elasticY(true)
.xAxisLabel('Dates')
.yAxisLabel('salesrank(average)')
.dimension(daillyDim)
.group(exptAvgGroup111)
.margins({
top: 40,
left: 70,
right: 30,
bottom: 80
})
.renderlet(function(chart) {
chart.selectAll("g.x text").attr('dx', '-30').attr('dy', '4').attr('transform', "rotate(-45)");
});
dc.renderAll();
答案 0 :(得分：1)
常见问题解答需要明确remove_empty_bins是一个示例，如果您的数据汇总为对象，则需要更改。
在这里你只需要指定total字段而不是查看整个对象（永远不等于零）：
function remove_empty_bins(source_group) {
return {
all: function () {
return source_group.all().filter(function (d) {
return d.value.total != 0;
});
}
};
}
你也忽略了为折线图设置elasticX(true)。
你小提琴的叉子：https://jsfiddle.net/gordonwoodhull/pk97wq81/5/
过渡有点疯狂。这将在2.1中修复;见例如#1262