d3.js交互式多系列折线图（将TV转换为文字数据）

Question

I have a question. How should I redo this example ( http://bl.ocks.org/DStruths/9c042e3a6b66048b5bd4 ) which uses a .tsv file to instead utilize a script with literal data? So far I have done the following: http://codepen.io/Balzzac/pen/MJorXw?editors=0010 , but nothing works.

My code:

var dataset = [here is 15000 raws of original data converted into JSON, using http://codebeautify.org/tsv-to-json-converter]



var margin = {top: 20, right: 200, bottom: 100, left: 50},
             margin2 = { top: 430, right: 10, bottom: 20, left: 40 },
             width = 960 - margin.left - margin.right,
             height = 500 - margin.top - margin.bottom,
             height2 = 500 - margin2.top - margin2.bottom;

        var parseDate = d3.time.format("%Y%m%d").parse;
        var bisectDate = d3.bisector(function(d) { return d.date; }).left;

        var xScale = d3.time.scale()
             .range([0, width]),

             xScale2 = d3.time.scale()
             .range([0, width]); // Duplicate xScale for brushing ref later

        var yScale = d3.scale.linear()
             .range([height, 0]);

        // 40 Custom DDV colors 
        var color = d3.scale.ordinal().range(["#48A36D",  "#56AE7C",  "#64B98C", "#72C39B", "#80CEAA", "#80CCB3", "#7FC9BD", "#7FC7C6", "#7EC4CF", "#7FBBCF", "#7FB1CF", "#80A8CE", "#809ECE", "#8897CE", "#8F90CD", "#9788CD", "#9E81CC", "#AA81C5", "#B681BE", "#C280B7", "#CE80B0", "#D3779F", "#D76D8F", "#DC647E", "#E05A6D", "#E16167", "#E26962", "#E2705C", "#E37756", "#E38457", "#E39158", "#E29D58", "#E2AA59", "#E0B15B", "#DFB95C", "#DDC05E", "#DBC75F", "#E3CF6D", "#EAD67C", "#F2DE8A"]);  


        var xAxis = d3.svg.axis()
             .scale(xScale)
             .orient("bottom"),

             xAxis2 = d3.svg.axis() // xAxis for brush slider
             .scale(xScale2)
             .orient("bottom");    

        var yAxis = d3.svg.axis()
             .scale(yScale)
             .orient("left");  

        var line = d3.svg.line()
             .interpolate("basis")
             .x(function(d) { return xScale(d.date); })
             .y(function(d) { return yScale(d.rating); })
             .defined(function(d) { return d.rating; });  // Hiding line value defaults of 0 for missing data

        var maxY; // Defined later to update yAxis

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

        // Create invisible rect for mouse tracking
        svg.append("rect")
             .attr("width", width)
             .attr("height", height)                                    
             .attr("x", 0) 
             .attr("y", 0)
             .attr("id", "mouse-tracker")
             .style("fill", "white"); 

        //for slider part-----------------------------------------------------------------------------------

        var context = svg.append("g") // Brushing context box container
             .attr("transform", "translate(" + 0 + "," + 410 + ")")
             .attr("class", "context");

        //append clip path for lines plotted, hiding those part out of bounds
        svg.append("defs")
          .append("clipPath") 
             .attr("id", "clip")
             .append("rect")
             .attr("width", width)
             .attr("height", height); 

        //end slider part----------------------------------------------------------------------------------- 

        // d3.tsv("data.tsv", function(error, data) 
        function render(data){ 
          color.domain(d3.keys(data[0]).filter(function(key) { // Set the domain of the color ordinal scale to be all the csv headers except "date", matching a color to an issue
             return key !== "date"; 
          }));

          data.forEach(function(d) { // Make every date in the csv data a javascript date object format
             d.date = parseDate(d.date);
          });

          var categories = color.domain().map(function(name) { // Nest the data into an array of objects with new keys

             return {
                name: name, // "name": the csv headers except date
                values: data.map(function(d) { // "values": which has an array of the dates and ratings
                  return {
                     date: d.date, 
                     rating: +(d[name]),
                     };
                }),
                visible: (name === "Unemployment" ? true : false) // "visible": all false except for economy which is true.
             };
          });

          xScale.domain(d3.extent(data, function(d) { return d.date; })); // extent = highest and lowest points, domain is data, range is bouding box

          yScale.domain([0, 100
             //d3.max(categories, function(c) { return d3.max(c.values, function(v) { return v.rating; }); })
          ]);

          xScale2.domain(xScale.domain()); // Setting a duplicate xdomain for brushing reference later

         //for slider part-----------------------------------------------------------------------------------

         var brush = d3.svg.brush()//for slider bar at the bottom
             .x(xScale2) 
             .on("brush", brushed);

          context.append("g") // Create brushing xAxis
                .attr("class", "x axis1")
                .attr("transform", "translate(0," + height2 + ")")
                .call(xAxis2);

          var contextArea = d3.svg.area() // Set attributes for area chart in brushing context graph
             .interpolate("monotone")
             .x(function(d) { return xScale2(d.date); }) // x is scaled to xScale2
             .y0(height2) // Bottom line begins at height2 (area chart not inverted) 
             .y1(0); // Top line of area, 0 (area chart not inverted)

          //plot the rect as the bar at the bottom
          context.append("path") // Path is created using svg.area details
             .attr("class", "area")
             .attr("d", contextArea(categories[0].values)) // pass first categories data .values to area path generator 
             .attr("fill", "#F1F1F2");

          //append the brush for the selection of subsection  
          context.append("g")
             .attr("class", "x brush")
             .call(brush)
             .selectAll("rect")
             .attr("height", height2) // Make brush rects same height 
                .attr("fill", "#E6E7E8");  
          //end slider part-----------------------------------------------------------------------------------

          // draw line graph
          svg.append("g")
                .attr("class", "x axis")
                .attr("transform", "translate(0," + height + ")")
                .call(xAxis);

          svg.append("g")
                .attr("class", "y axis")
                .call(yAxis)
             .append("text")
                .attr("transform", "rotate(-90)")
                .attr("y", 6)
                .attr("x", -10)
                .attr("dy", ".71em")
                .style("text-anchor", "end")
                .text("Issues Rating");

          var issue = svg.selectAll(".issue")
                .data(categories) // Select nested data and append to new svg group elements
             .enter().append("g")
                .attr("class", "issue");   

          issue.append("path")
                .attr("class", "line")
                .style("pointer-events", "none") // Stop line interferring with cursor
                .attr("id", function(d) {
                  return "line-" + d.name.replace(" ", "").replace("/", ""); // Give line id of line-(insert issue name, with any spaces replaced with no spaces)
                })
                .attr("d", function(d) { 
                  return d.visible ? line(d.values) : null; // If array key "visible" = true then draw line, if not then don't 
                })
                .attr("clip-path", "url(#clip)")//use clip path to make irrelevant part invisible
                .style("stroke", function(d) { return color(d.name); });

          // draw legend
          var legendSpace = 450 / categories.length; // 450/number of issues (ex. 40)    

          issue.append("rect")
                .attr("width", 10)
                .attr("height", 10)                                    
                .attr("x", width + (margin.right/3) - 15) 
                .attr("y", function (d, i) { return (legendSpace)+i*(legendSpace) - 8; })  // spacing
                .attr("fill",function(d) {
                  return d.visible ? color(d.name) : "#F1F1F2"; // If array key "visible" = true then color rect, if not then make it grey 
                })
                .attr("class", "legend-box")

                .on("click", function(d){ // On click make d.visible 
                  d.visible = !d.visible; // If array key for this data selection is "visible" = true then make it false, if false then make it true

                  maxY = findMaxY(categories); // Find max Y rating value categories data with "visible"; true
                  yScale.domain([0,maxY]); // Redefine yAxis domain based on highest y value of categories data with "visible"; true
                  svg.select(".y.axis")
                     .transition()
                     .call(yAxis);   

                  issue.select("path")
                     .transition()
                     .attr("d", function(d){
                        return d.visible ? line(d.values) : null; // If d.visible is true then draw line for this d selection
                     })

                  issue.select("rect")
                     .transition()
                     .attr("fill", function(d) {
                     return d.visible ? color(d.name) : "#F1F1F2";
                  });
                })

                .on("mouseover", function(d){

                  d3.select(this)
                     .transition()
                     .attr("fill", function(d) { return color(d.name); });

                  d3.select("#line-" + d.name.replace(" ", "").replace("/", ""))
                     .transition()
                     .style("stroke-width", 2.5);  
                })

                .on("mouseout", function(d){

                  d3.select(this)
                     .transition()
                     .attr("fill", function(d) {
                     return d.visible ? color(d.name) : "#F1F1F2";});

                  d3.select("#line-" + d.name.replace(" ", "").replace("/", ""))
                     .transition()
                     .style("stroke-width", 1.5);
                })

          issue.append("text")
                .attr("x", width + (margin.right/3)) 
                .attr("y", function (d, i) { return (legendSpace)+i*(legendSpace); })  // (return (11.25/2 =) 5.625) + i * (5.625) 
                .text(function(d) { return d.name; }); 

          // Hover line 
          var hoverLineGroup = svg.append("g") 
                        .attr("class", "hover-line");

          var hoverLine = hoverLineGroup // Create line with basic attributes
                  .append("line")
                        .attr("id", "hover-line")
                        .attr("x1", 10).attr("x2", 10) 
                        .attr("y1", 0).attr("y2", height + 10)
                        .style("pointer-events", "none") // Stop line interferring with cursor
                        .style("opacity", 1e-6); // Set opacity to zero 

          var hoverDate = hoverLineGroup
                  .append('text')
                        .attr("class", "hover-text")
                        .attr("y", height - (height-40)) // hover date text position
                        .attr("x", width - 150) // hover date text position
                        .style("fill", "#E6E7E8");

          var columnNames = d3.keys(data[0]) //grab the key values from your first data row
                                                         //these are the same as your column names
                                .slice(1); //remove the first column name (`date`);

          var focus = issue.select("g") // create group elements to house tooltip text
                .data(columnNames) // bind each column name date to each g element
             .enter().append("g") //create one <g> for each columnName
                .attr("class", "focus"); 

          focus.append("text") // http://stackoverflow.com/questions/22064083/d3-js-multi-series-chart-with-y-value-tracking
                  .attr("class", "tooltip")
                  .attr("x", width + 20) // position tooltips  
                  .attr("y", function (d, i) { return (legendSpace)+i*(legendSpace); }); // (return (11.25/2 =) 5.625) + i * (5.625) // position tooltips       

          // Add mouseover events for hover line.
          d3.select("#mouse-tracker") // select chart plot background rect #mouse-tracker
          .on("mousemove", mousemove) // on mousemove activate mousemove function defined below
          .on("mouseout", function() {
                hoverDate
                     .text(null) // on mouseout remove text for hover date

                d3.select("#hover-line")
                     .style("opacity", 1e-6); // On mouse out making line invisible
          });

          function mousemove() { 
                var mouse_x = d3.mouse(this)[0]; // Finding mouse x position on rect
                var graph_x = xScale.invert(mouse_x); // 

                //var mouse_y = d3.mouse(this)[1]; // Finding mouse y position on rect
                //var graph_y = yScale.invert(mouse_y);
                //console.log(graph_x);

                var format = d3.time.format('%b %Y'); // Format hover date text to show three letter month and full year

                hoverDate.text(format(graph_x)); // scale mouse position to xScale date and format it to show month and year

                d3.select("#hover-line") // select hover-line and changing attributes to mouse position
                     .attr("x1", mouse_x) 
                     .attr("x2", mouse_x)
                     .style("opacity", 1); // Making line visible

                // Legend tooltips // http://www.d3noob.org/2014/07/my-favourite-tooltip-method-for-line.html

                var x0 = xScale.invert(d3.mouse(this)[0]), /* d3.mouse(this)[0] returns the x position on the screen of the mouse. xScale.invert function is reversing the process that we use to map the domain (date) to range (position on screen). So it takes the position on the screen and converts it into an equivalent date! */
                i = bisectDate(data, x0, 1), // use our bisectDate function that we declared earlier to find the index of our data array that is close to the mouse cursor
                /*It takes our data array and the date corresponding to the position of or mouse cursor and returns the index number of the data array which has a date that is higher than the cursor position.*/
                d0 = data[i - 1],
                d1 = data[i],
                /*d0 is the combination of date and rating that is in the data array at the index to the left of the cursor and d1 is the combination of date and close that is in the data array at the index to the right of the cursor. In other words we now have two variables that know the value and date above and below the date that corresponds to the position of the cursor.*/
                d = x0 - d0.date > d1.date - x0 ? d1 : d0;
                /*The final line in this segment declares a new array d that is represents the date and close combination that is closest to the cursor. It is using the magic JavaScript short hand for an if statement that is essentially saying if the distance between the mouse cursor and the date and close combination on the left is greater than the distance between the mouse cursor and the date and close combination on the right then d is an array of the date and close on the right of the cursor (d1). Otherwise d is an array of the date and close on the left of the cursor (d0).*/

                //d is now the data row for the date closest to the mouse position

                focus.select("text").text(function(columnName){
                    //because you didn't explictly set any data on the <text>
                    //elements, each one inherits the data from the focus <g>

                    return (d[columnName]);
                });
          }; 

          //for brusher of the slider bar at the bottom
          function brushed() {

             xScale.domain(brush.empty() ? xScale2.domain() : brush.extent()); // If brush is empty then reset the Xscale domain to default, if not then make it the brush extent 

             svg.select(".x.axis") // replot xAxis with transition when brush used
                     .transition()
                     .call(xAxis);

             maxY = findMaxY(categories); // Find max Y rating value categories data with "visible"; true
             yScale.domain([0,maxY]); // Redefine yAxis domain based on highest y value of categories data with "visible"; true

             svg.select(".y.axis") // Redraw yAxis
                .transition()
                .call(yAxis);   

             issue.select("path") // Redraw lines based on brush xAxis scale and domain
                .transition()
                .attr("d", function(d){
                     return d.visible ? line(d.values) : null; // If d.visible is true then draw line for this d selection
                });

          };      

        }; // End Data callback function

          function findMaxY(data){  // Define function "findMaxY"
             var maxYValues = data.map(function(d) { 
                if (d.visible){
                  return d3.max(d.values, function(value) { // Return max rating value
                     return value.rating; })
                }
             });
             return d3.max(maxYValues);
          }
render(dataset);

Answer 1

date should be a string. Thanks to:

https://github.com/d3/d3/issues/2543