尝试对我的数据集应用以下内容:https://bl.ocks.org/mbostock/4015254。我已经更改了变量以适合我的数据集。
我的代码如下:
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 60},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var parseDate = d3.timeParse("%Y-%m-%d"),
formatDate = d3.timeFormat("%Y");
var x = d3.scaleTime()
.domain([new Date(2002, 0, 1), new Date(2003, 0, 1)])
.range([0, width]);
var y = d3.scaleLinear()
.range([height, 0]);
var xAxis = d3.axisBottom(x);
var yAxis = d3.axisLeft(y);
var area = d3.area()
.curve(d3.curveStepAfter)
.y0(y(0))
.y1(function(d) { return y(d.value); });
var areaPath = g.append("path")
.attr("clip-path", "url(#clip)")
.attr("fill", "steelblue");
var yGroup = g.append("g");
var xGroup = g.append("g")
.attr("transform", "translate(0," + height + ")");
var zoom = d3.zoom()
.scaleExtent([1 / 4, 8])
.translateExtent([[-width, -Infinity], [2 * width, Infinity]])
.on("zoom", zoomed);
var zoomRect = svg.append("rect")
.attr("width", width)
.attr("height", height)
.attr("fill", "none")
.attr("pointer-events", "all")
.call(zoom);
g.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
d3.json("api.php", function(d) {
d.date = parseDate(d.date);
d.value = +d.close;
return d;
}, function(error, data) {
if (error) throw error;
var xExtent = d3.extent(data, function(d) { return d.date; });
zoom.translateExtent([[x(xExtent[0]), -Infinity], [x(xExtent[1]), Infinity]])
y.domain([0, d3.max(data, function(d) { return d.value; })]);
yGroup.call(yAxis).select(".domain").remove();
areaPath.datum(data);
zoomRect.call(zoom.transform, d3.zoomIdentity);
});
function zoomed() {
var xz = d3.event.transform.rescaleX(x);
xGroup.call(xAxis.scale(xz));
areaPath.attr("d", area.x(function(d) { return xz(d.date); }));
}
</script>
但是我在控制台上看到以下错误消息:
d3.v4.min.js:2 Uncaught TypeError: Cannot read property 'length' of undefined
at SVGPathElement.t (d3.v4.min.js:2)
at SVGPathElement.<anonymous> (d3.v4.min.js:2)
at ut.each (d3.v4.min.js:2)
at ut.attr (d3.v4.min.js:2)
at SVGRectElement.zoomed (research.php:123)
at k.apply (d3.v4.min.js:2)
at it (d3.v4.min.js:2)
at a.emit (d3.v4.min.js:2)
at a.zoom (d3.v4.min.js:2)
at d3.v4.min.js:2
我的数据集摘录如下:
[{"id":"1","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2006-12-29","time":"15:00:00.000000","close":"2388.023438000000000000","volume":"23700.000000000000000000","active":"1","exchange_id":"0"},{"id":"2","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-04","time":"15:00:00.000000","close":"2416.452637000000000000","volume":"16500.000000000000000000","active":"1","exchange_id":"0"},{"id":"3","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-05","time":"15:00:00.000000","close":"2369.071045000000000000","volume":"45400.000000000000000000","active":"1","exchange_id":"0"},{"id":"4","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-09","time":"15:00:00.000000","close":"2388.023438000000000000","volume":"28800.000000000000000000","active":"1","exchange_id":"0"},{"id":"5","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-10","time":"15:00:00.000000","close":"2369.071045000000000000","volume":"27800.000000000000000000","active":"1","exchange_id":"0"},{"id":"6","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-11","time":"15:00:00.000000","close":"2369.071045000000000000","volume":"25500.000000000000000000","active":"1","exchange_id":"0"},{"id":"7","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-12","time":"15:00:00.000000","close":"2378.546875000000000000","volume":"28100.000000000000000000","active":"1","exchange_id":"0"},{"id":"8","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-15","time":"15:00:00.000000","close":"2397.500244000000000000","volume":"23400.000000000000000000","active":"1","exchange_id":"0"}]
它包含2831个记录。我不明白为什么连我的x和y轴都无法正确打印。预先感谢。
答案 0 :(得分:1)
您引用的bl.ocks使用d3.csv
,该function(d) {
d.date = parseDate(d.date);
d.value = +d.value;
return d;
}
(如果您查看docs)具有访问器函数,该函数会在数据,然后在回调中访问整个日期。这是访问器功能:
d3.json(url[, callback])
但是对于d3.json,没有这样的访问器:d3.json("test.json", function(data) {
data.forEach(e => {
e.date = parseDate(e.date);
e.value = +e.close;
});
var xExtent = d3.extent(data, function(d) { return d.date; });
.....
,这意味着您必须解析回调中的每一行。方法如下:
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 30, left: 60},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var parseDate = d3.timeParse("%Y-%m-%d"),
formatDate = d3.timeFormat("%Y");
var x = d3.scaleTime()
.domain([new Date(2006, 12, 1), new Date(2007, 1, 1)])
.range([0, width]);
var y = d3.scaleLinear()
.range([height, 0]);
var xAxis = d3.axisBottom(x);
var yAxis = d3.axisLeft(y);
var area = d3.area()
.curve(d3.curveStepAfter)
.y0(y(0))
.y1(function(d) { return y(d.value); });
var areaPath = g.append("path")
.attr("clip-path", "url(#clip)")
.attr("fill", "steelblue");
var yGroup = g.append("g");
var xGroup = g.append("g")
.attr("transform", "translate(0," + height + ")");
var zoom = d3.zoom()
.scaleExtent([1 / 4, 8])
.translateExtent([[-width, -Infinity], [2 * width, Infinity]])
.on("zoom", zoomed);
var zoomRect = svg.append("rect")
.attr("width", width)
.attr("height", height)
.attr("fill", "none")
.attr("pointer-events", "all")
.call(zoom);
g.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
var data = [{"id":"1","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2006-12-29","time":"15:00:00.000000","close":"2388.023438000000000000","volume":"23700.000000000000000000","active":"1","exchange_id":"0"},{"id":"2","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-04","time":"15:00:00.000000","close":"2416.452637000000000000","volume":"16500.000000000000000000","active":"1","exchange_id":"0"},{"id":"3","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-05","time":"15:00:00.000000","close":"2369.071045000000000000","volume":"45400.000000000000000000","active":"1","exchange_id":"0"},{"id":"4","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-09","time":"15:00:00.000000","close":"2388.023438000000000000","volume":"28800.000000000000000000","active":"1","exchange_id":"0"},{"id":"5","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-10","time":"15:00:00.000000","close":"2369.071045000000000000","volume":"27800.000000000000000000","active":"1","exchange_id":"0"},{"id":"6","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-11","time":"15:00:00.000000","close":"2369.071045000000000000","volume":"25500.000000000000000000","active":"1","exchange_id":"0"},{"id":"7","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-12","time":"15:00:00.000000","close":"2378.546875000000000000","volume":"28100.000000000000000000","active":"1","exchange_id":"0"},{"id":"8","exchange_symbol":"TSE","currency":"JPY","stock_id":"1","stock_name":"KYOKUYO CO.,LTD.","stock_symbol":"1301.T","date":"2007-01-15","time":"15:00:00.000000","close":"2397.500244000000000000","volume":"23400.000000000000000000","active":"1","exchange_id":"0"}];
data.forEach(e => {
e.date = parseDate(e.date);
e.value = +e.close;
});
var xExtent = d3.extent(data, function(d) { return d.date; });
x.domain(xExtent);
zoom.translateExtent([[x(xExtent[0]), -Infinity], [x(xExtent[1]), Infinity]])
y.domain([0, d3.max(data, function(d) { return d.value; })]);
yGroup.call(yAxis).select(".domain").remove();
areaPath.datum(data);
zoomRect.call(zoom.transform, d3.zoomIdentity);
function zoomed() {
var xz = d3.event.transform.rescaleX(x);
xGroup.call(xAxis.scale(xz));
areaPath.attr("d", area.x(function(d) { return xz(d.date); }));
}
这是代码的分支(我不确定为什么当它是JSON文件时为何将文件命名为“ api.php”。我使用了“ test.json”文件。
如果您无法查看该代码或正在寻找代码段,请执行以下操作:
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
x
希望这是有道理的。另外,我将xExtent
域设置为根据数据计算出的df['a'].str.contains('|')
。试一试,看看有什么不同。
答案 1 :(得分:0)
不知何故,加载函数是另一种类型,并使用以下格式。
Toolbox.tapRecognizerforLabel(named: nameLabel, action: #selector(self.methodAlpha),target:self)