Public
Edited
Nov 18, 2022
1 star
LineChart(date, {
x: d => new Date(~~(d.d / 100), d.d % 100 - 1),
y: d => d.num,
xDomain: [
new Date(~~(date[0].d / 100), date[0].d % 100 - 1),
new Date(~~(date[date.length - 1].d / 100), date[date.length - 1].d % 100 - 1),
],
xFormat: '%y-%m',
yLabel: "坚持次数",
curve: d3.curveBumpX,
xType: d3.scaleTime
})
date = [
{"d": 202211, "num": 13},
{"d": 202210, "num": 28},
{"d": 202209, "num": 22},
{"d": 202208, "num": 26},
{"d": 202207, "num": 20},
{"d": 202206, "num": 25},
{"d": 202205, "num": 25},
{"d": 202204, "num": 23},
{"d": 202203, "num": 21},
{"d": 202202, "num": 23},
{"d": 202201, "num": 20},
{"d": 202112, "num": 23},
{"d": 202111, "num": 4}
]
function LineChart(data, {
x = ([x]) => x, // given d in data, returns the (temporal) x-value
y = ([, y]) => y, // given d in data, returns the (quantitative) y-value
defined, // for gaps in data
curve = d3.curveLinear, // method of interpolation between points
marginTop = 20, // top margin, in pixels
marginRight = 30, // right margin, in pixels
marginBottom = 30, // bottom margin, in pixels
marginLeft = 40, // left margin, in pixels
width = 640, // outer width, in pixels
height = 400, // outer height, in pixels
xType = d3.scaleUtc, // the x-scale type
xDomain, // [xmin, xmax]
xRange = [marginLeft, width - marginRight], // [left, right]
yType = d3.scaleLinear, // the y-scale type
yDomain, // [ymin, ymax]
yRange = [height - marginBottom, marginTop], // [bottom, top]
xFormat, // a format specifier string for the x-axis
yFormat, // a format specifier string for the y-axis
yLabel, // a label for the y-axis
color = "currentColor", // stroke color of line
strokeLinecap = "round", // stroke line cap of the line
strokeLinejoin = "round", // stroke line join of the line
strokeWidth = 1.5, // stroke width of line, in pixels
strokeOpacity = 1, // stroke opacity of line
} = {}) {
// Compute values.
const X = d3.map(data, x);
const Y = d3.map(data, y);
const I = d3.range(X.length);
if (defined === undefined) defined = (d, i) => !isNaN(X[i]) && !isNaN(Y[i]);
const D = d3.map(data, defined);
// Compute default domains.
if (xDomain === undefined) xDomain = d3.extent(X);
if (yDomain === undefined) yDomain = [d3.min(Y) - 1, d3.max(Y) + 1];
// Construct scales and axes.
const xScale = xType(xDomain, xRange);
const yScale = yType(yDomain, yRange);
const xAxis = d3.axisBottom(xScale).ticks(width / 80, xFormat).tickSizeOuter(0);
const yAxis = d3.axisLeft(yScale).ticks(height / 40, yFormat);
// Construct a line generator.
const line = d3.line()
.defined(i => D[i])
.curve(curve)
.x(i => xScale(X[i]))
.y(i => yScale(Y[i]));
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [0, 0, width, height])
.attr("style", "max-width: 100%; height: auto; height: intrinsic;");
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(xAxis);
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(yAxis)
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick line").clone()
.attr("x2", width - marginLeft - marginRight)
.attr("stroke-opacity", 0.1))
.call(g => g.append("text")
.attr("x", -marginLeft)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(yLabel));
function tweenDash() {
const l = this.getTotalLength(),
i = d3.interpolateString("0," + l, l + "," + l);
return function (t) {
return i(t);
};
}
function transition(path) {
path
.transition()
.duration((X.length - 1) * 1000)
.ease(d3.easeLinear)
.attrTween("stroke-dasharray", tweenDash);
}
svg.append("path")
.attr("fill", "none")
.attr("stroke", color)
.attr("stroke-width", strokeWidth)
.attr("stroke-linecap", strokeLinecap)
.attr("stroke-linejoin", strokeLinejoin)
.attr("stroke-opacity", strokeOpacity)
.attr("d", line(I))
.call(transition);
const textPadding = 5;
svg
.append("g")
.attr("text-anchor", "middle")
.selectAll("text")
.data(I)
.enter()
.append("text")
.attr("x", (i) => xScale(X[i]))
.attr("y", (i) => {
let a = Y[i - 1];
let b = Y[i];
let c = Y[i + 1];
if (a <= b && b >= c) {
return yScale(b) - textPadding;
} else {
return yScale(b) + 15;
}
})
.attr('fill', '#ec4899')
.text((i) => Y[i]);
svg
.append("g")
.selectAll("circle")
.data(I)
.enter()
.append("circle")
.attr("r", 3)
.attr("cx", (i) => xScale(X[i]))
.attr("cy", (i) => yScale(Y[i]))
.attr("fill", "transparent")
.transition()
.ease(d3.easeLinear)
.delay((d) => d * 1000)
.attr("fill", color);
return svg.node();
}
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.