我很迷失在這一點上。我已經洗掉了timeParse它似乎并沒有真正做任何事情?(我濫用了嗎?)。Y 正在正確縮放,因此似乎正在決議資料...但是 X 回傳空白...

我錯過了什么?
-- JSON --
{"data":[{"id":1,"x":"2019-01-01","y":135328287},{"id":2,"x":"2019-01-02","y":100071098},{"id":3,"x":"2019-01-03","y":171434059},{"id":4,"x":"2019-01-04","y":110975168},{"id":5,"x":"2019-01-05","y":178786923},{"id":6,"x":"2019-01-06","y":174622991},{"id":7,"x":"2019-01-07","y":90238133},{"id":8,"x":"2019-01-08","y":94038403},{"id":9,"x":"2019-01-09","y":144493248},{"id":10,"x":"2019-01-10","y":154400885},{"id":11,"x":"2019-01-11","y":118925526},{"id":12,"x":"2019-01-12","y":97099311},{"id":13,"x":"2019-01-13","y":117296138},{"id":14,"x":"2019-01-14","y":108969313},{"id":15,"x":"2019-01-15","y":129457614},{"id":16,"x":"2019-01-16","y":133212354},{"id":17,"x":"2019-01-17","y":107365954},{"id":18,"x":"2019-01-18","y":98432579},{"id":19,"x":"2019-01-19","y":161141883}...
-- JS --
d3.json("http://localhost:4000/api/line/1",
function (d) {
return { x: d3.timeParse("%Y-%m-%d")(d.data.x), y: d.data.y }
}).then(
function (data) {
var dataset = data.data;
const x = d3.scaleTime()
.domain(d3.extent(dataset, d=> d.x ))
.range([0, width]);
svg.append("g")
.attr("transform", `translate(0, ${height})`)
.call(d3.axisBottom(x));
// Add Y axis
const y = d3.scaleLinear()
.domain([80000000, d3.max(dataset, d=> d.y )])
.range([height, 0]);
svg.append("g")
.call(d3.axisLeft(y));
// Add the line
svg.append("path")
.datum(dataset)
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("d", d3.line()
.x(d=> x(d.x) )
.y(d=> y(d.y) )
)
})
line()將 d 設定attr為:
MNaN,160.6996009996307LNaN,287.7010358232216 etc...
uj5u.com熱心網友回復:
問題實際上是x屬性的值:由于您使用的是時間刻度,因此您需要日期物件。你timeParse不應該被洗掉。
但是,它沒有做任何事情,因為d3.json它不接受行函式(這對 JSON 毫無意義)。因此,一個簡單的替代方法是在 a 中創建日期物件forEach:
dataset.forEach(d => d.x = timeParse(d.x))
這是帶有日期物件的代碼:
顯示代碼片段
const data = {
"data": [{
"id": 1,
"x": "2019-01-01",
"y": 135328287
}, {
"id": 2,
"x": "2019-01-02",
"y": 100071098
}, {
"id": 3,
"x": "2019-01-03",
"y": 171434059
}, {
"id": 4,
"x": "2019-01-04",
"y": 110975168
}, {
"id": 5,
"x": "2019-01-05",
"y": 178786923
}, {
"id": 6,
"x": "2019-01-06",
"y": 174622991
}, {
"id": 7,
"x": "2019-01-07",
"y": 90238133
}, {
"id": 8,
"x": "2019-01-08",
"y": 94038403
}, {
"id": 9,
"x": "2019-01-09",
"y": 144493248
}, {
"id": 10,
"x": "2019-01-10",
"y": 154400885
}, {
"id": 11,
"x": "2019-01-11",
"y": 118925526
}, {
"id": 12,
"x": "2019-01-12",
"y": 97099311
}, {
"id": 13,
"x": "2019-01-13",
"y": 117296138
}, {
"id": 14,
"x": "2019-01-14",
"y": 108969313
}, {
"id": 15,
"x": "2019-01-15",
"y": 129457614
}, {
"id": 16,
"x": "2019-01-16",
"y": 133212354
}, {
"id": 17,
"x": "2019-01-17",
"y": 107365954
}, {
"id": 18,
"x": "2019-01-18",
"y": 98432579
}, {
"id": 19,
"x": "2019-01-19",
"y": 161141883
}]
};
const svg = d3.select("svg");
const width = 400,
height = 150;
const timeParse = d3.timeParse("%Y-%m-%d");
var dataset = data.data;
dataset.forEach(d => d.x = timeParse(d.x))
const x = d3.scaleTime()
.domain(d3.extent(dataset, d => d.x))
.range([70, width]);
svg.append("g")
.attr("transform", `translate(0, ${height - 20})`)
.call(d3.axisBottom(x));
// Add Y axis
const y = d3.scaleLinear()
.domain([80000000, d3.max(dataset, d => d.y)])
.range([height - 20, 0]);
svg.append("g")
.attr("transform", `translate(70,0)`)
.call(d3.axisLeft(y));
// Add the line
svg.append("path")
.datum(dataset)
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("d", d3.line()
.x(d => x(d.x))
.y(d => y(d.y))
);
<script src="https://d3js.org/d3.v7.min.js"></script>
<svg width="400"></svg>
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