如何在D3.js折線圖上按日期範圍篩選數據？

我已經設法使用來自csv文件的數據創建一個簡單的折線圖，但我只想顯示最近7天的數據，我該如何做？如何在D3.js折線圖上按日期範圍篩選數據？

我相信我需要的地方做一個.filter，但我找不到任何很好的例子，我相信它需要在此塊去：

// Get the data 
d3.csv("CSVdata.csv", function(error, data) { 
    data.forEach(function(d) { 

     d.date = parseDate(d.date); 
     console.log("Date : " + d.date); 
     d.close = +d.close; 

    });

我上傳的圖可以是看這裏：

http://plnkr.co/edit/JyQS0X?p=preview

我使用的HTML是：

<!DOCTYPE html> 
<meta charset="utf-8"> 
<style> /* set the CSS */ 

body { font: 12px Arial;} 

path { 
    stroke: steelblue; 
    stroke-width: 2; 
    fill: none; 
} 

.axis path, 
.axis line { 
    fill: none; 
    stroke: grey; 
    stroke-width: 1; 
    shape-rendering: crispEdges; 
} 

</style> 
<body> 

<!-- load the d3.js library -->  
<script src="http://d3js.org/d3.v3.min.js"></script> 

<script> 

// Set the dimensions of the canvas/graph 
var margin = {top: 30, right: 20, bottom: 30, left: 50}, 
    width = 600 - margin.left - margin.right, 
    height = 270 - margin.top - margin.bottom; 

// Parse the date/time 
var parseDate = d3.time.format("%d/%m/%Y").parse; 

// 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 
var valueline = d3.svg.line() 
    .x(function(d) { return x(d.date); }) 
    .y(function(d) { return y(d.close); }); 

// Adds the svg canvas 
var svg = d3.select("body") 
    .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 + ")"); 

// Get the data 
d3.csv("CSVdata.csv", function(error, data) { 
    data.forEach(function(d) { 

     d.date = parseDate(d.date); 
     console.log("Date : " + d.date); 
     d.close = +d.close; 

    }); 

    // Scale the range of the data 
    x.domain(d3.extent(data, function(d) { return d.date; })); 
    y.domain([0, d3.max(data, function(d) { return d.close; })]); 

    // Add the valueline path. 
    svg.append("path") 
     .attr("class", "line") 
     .attr("d", valueline(data)); 

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

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

}); 

</script> 
</body>

我使用的data.csv文件

date,close 
18/06/2015,49582.51 
18/06/2015,50582.51 
18/06/2015,52582.51 
17/06/2015,52782.51 
15/06/2015,55313.51 
10/06/2015,58110.51 
10/06/2015,55778.02 
1/06/2015,53289.42 
27/05/2015,53288.25 
27/05/2015,50955.76 
25/05/2015,48467.16 
22/05/2015,49467.16 
20/05/2015,49557.78 
14/05/2015,50557.78 
13/05/2015,53354.78 
13/05/2015,50866.18 
11/05/2015,48533.69 
29/04/2015,49533.69 
29/04/2015,47201.2 
25/04/2015,44712.6 
25/04/2015,45061.21 
22/04/2015,45717.21 
15/04/2015,45807.83 
15/04/2015,43525.88 
14/04/2015,41037.28 
14/04/2015,42114.39 
14/04/2015,42285.39 
14/04/2015,43783.74 
13/04/2015,46580.74 
1/04/2015,48580.74 
1/04/2015,46334.49 
23/03/2015,43845.89 
18/03/2015,43936.51 
18/03/2015,41690.26 
16/03/2015,39201.66 
4/03/2015,41998.66 
4/03/2015,39510.06 
1/03/2015,37263.82 
27/02/2015,37263.04 
23/02/2015,37213.04 
18/02/2015,34765.06 
17/02/2015,32518.81 
16/02/2015,30598.55 
14/02/2015,33395.55 
13/02/2015,36192.55 
13/02/2015,36170.45 
6/02/2015,36120.45 
4/02/2015,36070.45 
4/02/2015,33581.85 
30/01/2015,31335.61 
28/01/2015,31285.61 
23/01/2015,21285.61 
22/01/2015,21235.61 
16/01/2015,21326.23 
16/01/2015,21276.23 
15/01/2015,21226.23 
15/01/2015,18262.24 
14/01/2015,10534.4 
13/01/2015,10244.35 
13/01/2015,12243.98 
13/01/2015,92766.86 
13/01/2015,82766.86 
13/01/2015,42766.86 
9/01/2015,22766.86 
9/01/2015,22716.86 
4/01/2015,22666.86 
3/01/2015,22722.5 
2/01/2015,22763.34 
2/01/2015,22713.34 
31/12/2014,22663.34 
29/12/2014,22731.42 
26/12/2014,22831.35 
26/12/2014,22781.35 
19/12/2014,22731.35 
19/12/2014,22681.35 
12/12/2014,22631.35 
12/12/2014,22581.35 
6/12/2014,22531.35 
5/12/2014,22570.01 
5/12/2014,22520.01 
3/12/2014,22470.01 
1/12/2014,51470.01 
30/11/2014,51469.27 
30/11/2014,51497.85 
28/11/2014,51509.87 
28/11/2014,51459.87 
22/11/2014,51409.87 
22/11/2014,51450.48 
21/11/2014,51483.94 
21/11/2014,1483.94 
21/11/2014,1433.94 
19/11/2014,1383.94 
17/11/2014,1412.85 
16/11/2014,1443.89 
14/11/2014,1484.3 
14/11/2014,1434.3 
12/11/2014,1384.3 
10/11/2014,1422.1 
7/11/2014,1458.79 
7/11/2014,1408.79 
5/11/2014,1358.79 
4/11/2014,1436.29 
4/11/2014,1469.04 
3/11/2014,1502.16 
31/10/2014,1517.32 
31/10/2014,1467.32 
25/10/2014,1417.32 
25/10/2014,1510.72 
24/10/2014,1534.88 
24/10/2014,1694.15 
24/10/2014,1644.15 
19/10/2014,1594.15 
17/10/2014,1653.95 
17/10/2014,1603.95 
15/10/2014,1553.95 
15/10/2014,1640.95 
14/10/2014,1703.89 
12/10/2014,1805.26 
12/10/2014,1843.98 
10/10/2014,1887.85 
10/10/2014,1837.85 
3/10/2014,1787.85 
3/10/2014,1737.85 
28/09/2014,1687.85 
26/09/2014,1701.06 
26/09/2014,1651.06 
23/09/2014,1601.06 
19/09/2014,1644.2 
19/09/2014,1594.2 
12/09/2014,1544.2 
12/09/2014,1494.2 
9/09/2014,1444.2 
8/09/2014,1461.94 
7/09/2014,1470.36 
7/09/2014,1476.36 
5/09/2014,1501.31 
5/09/2014,1451.31 
4/09/2014,1401.31 
3/09/2014,1424.39 
1/09/2014,1440.7 
29/08/2014,1440.67 
29/08/2014,1390.67 
25/08/2014,1340.67 
23/08/2014,1385.45 
22/08/2014,1420.43 
22/08/2014,1370.43 
18/08/2014,1320.43 
16/08/2014,1333.78 
15/08/2014,1428.61 
15/08/2014,1440.6 
15/08/2014,1390.6 
8/08/2014,1340.6 
8/08/2014,1290.6 
5/08/2014,1240.6 
1/08/2014,1285.13 
1/08/2014,1235.13 
28/07/2014,1185.13 
25/07/2014,1213.18 
25/07/2014,1231.79 
25/07/2014,1181.79 
24/07/2014,1131.79 
23/07/2014,1285.79 
22/07/2014,1306.14 
21/07/2014,1339.94 
19/07/2014,1385.34 
18/07/2014,1416.01 
18/07/2014,1366.01 
16/07/2014,1316.01 
12/07/2014,1322.46 
11/07/2014,1338.7 
11/07/2014,1288.7 
10/07/2014,1238.7 
7/07/2014,1255.35 
6/07/2014,1278.32 
4/07/2014,1311.12 
4/07/2014,1261.12 
30/06/2014,1211.12 
27/06/2014,1225.01 
27/06/2014,1175.01 
25/06/2014,1125.01 
24/06/2014,1147.16 
23/06/2014,1177.32 
23/06/2014,1183.48 
20/06/2014,1201.65 
20/06/2014,1151.65 
19/06/2014,1101.65 
18/06/2014,1123.15 
14/06/2014,1134.29 
13/06/2014,1169.81 
13/06/2014,1119.81 
12/06/2014,1069.81 
11/06/2014,1092.19 
6/06/2014,1121.74 
6/06/2014,1071.74 
5/06/2014,1021.74 
2/06/2014,1075.03 
1/06/2014,1095.2 
1/06/2014,1136.1 
30/05/2014,1136.07 
30/05/2014,1086.07

來源

2015-07-18 Alex Laverty

可以使用過濾功能（普通的JavaScript）

您data.forEach塊

var cutoffDate = new Date(); 
cutoffDate.setDate(cutoffDate.getDate() - 90); 
data = data.filter(function(d) { 
    return d.date > cutoffDate; 
})

調整後90〜7（ max - 7）

Plunk - http://plnkr.co/edit/nnRslY8jcuMpMRDmGP4B?p=preview

來源

2015-07-19 04:36:26 potatopeelings

令人興奮的東西！感謝那 –

如何在D3.js折線圖上按日期範圍篩選數據？

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