Question

我尝试使用下面的d3线图代码绘制手机上加速计读数的x，y，z值。第一次测量非常适合绘图。随后的测量虽然产生奇数图，其中每个值是平线＆amp;然后在最后以非常高的频率压缩它。但是，如果我重置应用程序＆amp;再次运行它图表很好。当我导出数据并在电子表格中查看时，它似乎是有效的（即更改x，y，z和时间值）。我认为这可能是一个速度问题＆amp;将测量时间缩短到甚至1000毫秒，但问题还在继续。似乎变量在创建第一个图形后没有被重置。

我将加速度计数据以json格式存储在本地存储器中，并以测量时间为关键。为了获得图形，我使用密钥（存储在div id中以从本地存储获取正确的json文件＆amp;然后将其转换为数组以供d3设置读取。

任何想法都会非常感激。

由于

function graph() {

    var key = $("#graph_info").text();

    var dataObject = window.localStorage.getItem(key);

    var data = JSON.parse(dataObject);


    data = $.map(data, function(value, index) {
    return [value];
});

    // set up a colour variable
    var color = d3.scale.category10();

    // map one colour each to x, y and z
    // keys grabs the key value or heading of each key value pair in the json
    // but not time
//    console.log(d3.keys(data[0]));
    color.domain(d3.keys(data[0]).filter(function(key) {
        return key !== "timestamp";
    }));

    // create a nested series for passing to the line generator
    // it's best understood by console logging the data
    var series = color.domain().map(function(name) {
        return {
            name: name,
            values: data.map(function(d) {
                return {
                    timestamp: d.timestamp,
                    score: +d[name]
                };
            })
        };
    });

    // Set the dimensions of the canvas / graph
    var margin = {
        top: 40,
        right: 20,
        bottom: 35,
        left: 30
    },
        width = 260 - margin.left - margin.right,
        height = 220 - margin.top - margin.bottom;

//        height = 120 - margin.top - margin.bottom;


    // Set the ranges
    var x = d3.time.scale().range([0, width]);
    var y = d3.scale.linear().range([height, 0]);

    // Define the axes
    var xAxis = d3.svg.axis().scale(x)
        .orient("bottom").ticks(5);

    var yAxis = d3.svg.axis().scale(y)
        .orient("left").ticks(5);

    // Define the line
    // Note you plot the time / score pair from each key you created ealier 
    var valueline = d3.svg.line()
        .x(function(d) {
            return x(d.timestamp);
        })
        .y(function(d) {
            return y(d.score);
        });


    // Adds the svg canvas
    var svg = d3.select("#graph")
        .append("svg")
        .attr("width", width + margin.left + margin.right)
        .attr("height", height + margin.top + margin.bottom)
        .append("g")
        .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

    // Scale the range of the data
    x.domain(d3.extent(data, function(d) {
        return d.timestamp;
    }));

    // note the nested nature of this you need to dig an additional level
    y.domain([
        d3.min(series, function(c) {
            return d3.min(c.values, function(v) {
                return v.score;
            });
        }),
        d3.max(series, function(c) {
            return d3.max(c.values, function(v) {
                return v.score;
            });
        })
    ]);

    // create a variable called series and bind the date
    // for each series append a g element and class it as series for css styling
    var series = svg.selectAll(".series")
        .data(series)
        .enter().append("g")
        .attr("class", "series");

    // create the path for each series in the variable series i.e. x, y and z
    // pass each object called x, y nad z to the lne generator
    series.append("path")
        .attr("class", "line")
        .attr("d", function(d) {
 //           console.log(d); // to see how d3 iterates through series
            return valueline(d.values);
        })
        .style("stroke", function(d) {
            return color(d.name);
        });

    // Add the X Axis
    svg.append("g") // Add the X Axis
    .attr("class", "x axis")
        .attr("transform", "translate(0," + height + ")")
        .call(xAxis);

    // Add the Y Axis
    svg.append("g") // Add the Y Axis
    .attr("class", "y axis")
        .call(yAxis);

    //top title message
    svg.append("text")
        .attr("x", (width / 2))             
        .attr("y", 0 - (margin.top / 2))
        .attr("text-anchor", "middle")  
        .style("font-size", "16px")  
        .text(key);

    //Lower X-Axis title
    svg.append("text")      // text label for the x axis
        .attr("x", width / 2 )
        .attr("y",  height + margin.bottom)
        .style("text-anchor", "middle")
        .text("Seconds from measurement");

    svg = "";
    key = "";
    dataObject = "";
    data = [];

};

function showCurrentGraph() {
    graph(); 


}    



// End graphing code

Answer 1

您使用与数据相同的名称命名您的选择：

// Use another name for the selection
var series = svg.selectAll(".series")
    .data(series)
    .enter().append("g")
    .attr("class", "series");

此外，问题是您只在输入时为元素分配属性，而不是更新它们。例如，仅使用系列组，您的代码看起来应该更像：

// Create the selection and bind the data
var series = svg.selectAll("g.series").data(data);

// Append elements on enter (make sure to add the class at this point)
series.enter().append("g").attr("class", "series");

// Update the attributes of the series (transform in this case)
series.attr('transform', function(d, i) { return 'translate(' + i + ', 0)'; });

// Remove the lines on exit.
series.exit().remove();

我强烈建议您阅读Mike Bostock的以下文章：How selections work，Nested Selections和Towards Reusable charts。的问候，

再次调用时，d3折线图不能正确显示数据

1 个答案: