我在这里有一个codepen - https://codepen.io/anon/pen/xpaYYw?editors=0010
它是一个简单的测试图,但日期将格式化为这样。
我在x轴上有日期,在y
上有金额如何使用x刻度来设置条形的宽度和x位置。
layers.selectAll('rect')
.data(data)
.enter()
.append('rect')
.attr('height', function(d, i) {
return height - y(d.one);
})
.attr('y', function(d, i) {
return y(d.one);
})
.attr('width', function(d, i) {
return 50;
})
.attr('x', function(d, i) {
return 80*i;
})
.style('fill', (d, i) => {
return colors[i];
});
答案 0 :(得分:4)
您的问题与编程,JavaScript或D3无关......问题是基本的dataviz概念(这就是我在您的问题中添加data-visualization标记的原因):
你要做的不正确!您应该不使用带有时间刻度的条形图。时间刻度用于时间序列(我们使用点或线连接的点)。
如果在x轴上使用带时间的条,则会遇到问题:
然而,仅仅为了解释,让我们创建一个带有时间尺度的条形图(尽管这是一个错误的选择)...以下是如何做到的:< / p>
首先,在时间中设置条形的“宽度”。比方说,每个条的宽度为10天:
private void DeleteButton_Clicked(object sender, RoutedEventArgs e)
{
Button deleteButton = sender as Button;
var portfolio = deleteButton.DataContext as Portfolio; //or whatever your type is called
//access any members of the portfolio...
}
然后,将条形的.attr("width", function(d){
return x(d3.timeDay.offset(d.date, 10)) - x(d.date)
})
位置设置为当前日期半的宽度(即,在我们的示例中减去5天):
x
最后,不要忘记在时间范围内创建“填充”:
.attr('x', function(d, i) {
return x(d3.timeDay.offset(d.date, -5));
})
以下是包含这些更改的代码:
var x = d3.scaleTime()
.domain([d3.min(data, function(d) {
return d3.timeDay.offset(d.date, -10);
}), d3.max(data, function(d) {
return d3.timeDay.offset(d.date, 10);
})])
.range([0, width]);
var keys = [];
var legendKeys = [];
var maxVal = [];
var w = 800;
var h = 450;
var margin = {
top: 30,
bottom: 40,
left: 50,
right: 20,
};
var width = w - margin.left - margin.right;
var height = h - margin.top - margin.bottom;
var colors = ['#FF9A00', '#FFEBB6', '#FFC400', '#B4EDA0', '#FF4436'];
var data = [{
"one": 4306,
"two": 2465,
"three": 2299,
"four": 988,
"five": 554,
"six": 1841,
"date": "2015-05-31T00:00:00"
}, {
"one": 4378,
"two": 2457,
"three": 2348,
"four": 1021,
"five": 498,
"six": 1921,
"date": "2015-06-30T00:00:00"
}, {
"one": 3404,
"two": 2348,
"three": 1655,
"four": 809,
"five": 473,
"six": 1056,
"date": "2015-07-31T00:00:00"
},
];
data.forEach(function(d) {
d.date = new Date(d.date)
})
for (var i = 0; i < data.length; i++) {
for (var key in data[i]) {
if (!data.hasOwnProperty(key) && key !== "date")
maxVal.push(data[i][key]);
}
}
var x = d3.scaleTime()
.domain([d3.min(data, function(d) {
return d3.timeDay.offset(d.date, -10);
}), d3.max(data, function(d) {
return d3.timeDay.offset(d.date, 10);
})])
.range([0, width]);
var y = d3.scaleLinear()
.domain([0, d3.max(maxVal, function(d) {
return d;
})])
.range([height, 0]);
var svg = d3.select('body').append('svg')
.attr('class', 'chart')
.attr('width', w)
.attr('height', h);
var chart = svg.append('g')
.classed('graph', true)
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');
var layersArea = chart.append('g')
.attr('class', 'layers');
var layers = layersArea.append('g')
.attr('class', 'layer');
layers.selectAll('rect')
.data(data)
.enter()
.append('rect')
.attr('height', function(d, i) {
return height - y(d.one);
})
.attr('y', function(d, i) {
return y(d.one);
})
// .attr('width', function(d, i) {
// return 50;
// })
.attr("width", function(d) {
return x(d3.timeDay.offset(d.date, 10)) - x(d.date)
})
.attr('x', function(d, i) {
return x(d3.timeDay.offset(d.date, -5));
})
.style('fill', (d, i) => {
return colors[i];
});
chart.append('g')
.classed('x axis', true)
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x)
.tickFormat(d3.timeFormat("%Y-%m-%d")).tickValues(data.map(function(d) {
return new Date(d.date)
})));
chart.append('g')
.classed('y axis', true)
.call(d3.axisLeft(y)
.ticks(10));