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javascript - 集成 d3.js 趋势图(面积 + 线)作为数据工作室社区可视化

转载 作者:行者123 更新时间:2023-12-02 21:53:48 29 4
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我是一名数据科学家。主要使用Python和SQL来编写代码。我使用data studio进行可视化。所以我对JS不熟悉。我的诀窍data studio community visualizations作品。我想做这个chart (没有标记)。我关注this 。我尝试过但没有成功。有人能和我一起解决这个问题吗?或者向我推荐 d3.js data studio 集成资源。

最佳答案

我真的不确定你想要什么,但是对于没有标记的图表,我认为你想要什么:

function addAxesAndLegend(svg, xAxis, yAxis, margin, chartWidth, chartHeight) {
var legendWidth = 200,
legendHeight = 100;

// clipping to make sure nothing appears behind legend
svg
.append("clipPath")
.attr("id", "axes-clip")
.append("polygon")
.attr(
"points",
-margin.left +
"," +
-margin.top +
" " +
(chartWidth - legendWidth - 1) +
"," +
-margin.top +
" " +
(chartWidth - legendWidth - 1) +
"," +
legendHeight +
" " +
(chartWidth + margin.right) +
"," +
legendHeight +
" " +
(chartWidth + margin.right) +
"," +
(chartHeight + margin.bottom) +
" " +
-margin.left +
"," +
(chartHeight + margin.bottom)
);

var axes = svg.append("g").attr("clip-path", "url(#axes-clip)");

axes
.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + chartHeight + ")")
.call(xAxis);

axes
.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Time (s)");

var legend = svg
.append("g")
.attr("class", "legend")
.attr("transform", "translate(" + (chartWidth - legendWidth) + ", 0)");

legend
.append("rect")
.attr("class", "legend-bg")
.attr("width", legendWidth)
.attr("height", legendHeight);

legend
.append("rect")
.attr("class", "outer")
.attr("width", 75)
.attr("height", 20)
.attr("x", 10)
.attr("y", 10);

legend
.append("text")
.attr("x", 115)
.attr("y", 25)
.text("5% - 95%");

legend
.append("rect")
.attr("class", "inner")
.attr("width", 75)
.attr("height", 20)
.attr("x", 10)
.attr("y", 40);

legend
.append("text")
.attr("x", 115)
.attr("y", 55)
.text("25% - 75%");

legend
.append("path")
.attr("class", "median-line")
.attr("d", "M10,80L85,80");

legend
.append("text")
.attr("x", 115)
.attr("y", 85)
.text("Median");
}

function drawPaths(svg, data, x, y) {
var upperOuterArea = d3.svg
.area()
.interpolate("basis")
.x(function(d) {
return x(d.date) || 1;
})
.y0(function(d) {
return y(d.pct95);
})
.y1(function(d) {
return y(d.pct75);
});

var upperInnerArea = d3.svg
.area()
.interpolate("basis")
.x(function(d) {
return x(d.date) || 1;
})
.y0(function(d) {
return y(d.pct75);
})
.y1(function(d) {
return y(d.pct50);
});

var medianLine = d3.svg
.line()
.interpolate("basis")
.x(function(d) {
return x(d.date);
})
.y(function(d) {
return y(d.pct50);
});

var lowerInnerArea = d3.svg
.area()
.interpolate("basis")
.x(function(d) {
return x(d.date) || 1;
})
.y0(function(d) {
return y(d.pct50);
})
.y1(function(d) {
return y(d.pct25);
});

var lowerOuterArea = d3.svg
.area()
.interpolate("basis")
.x(function(d) {
return x(d.date) || 1;
})
.y0(function(d) {
return y(d.pct25);
})
.y1(function(d) {
return y(d.pct05);
});

svg.datum(data);

svg
.append("path")
.attr("class", "area upper outer")
.attr("d", upperOuterArea)
.attr("clip-path", "url(#rect-clip)");

svg
.append("path")
.attr("class", "area lower outer")
.attr("d", lowerOuterArea)
.attr("clip-path", "url(#rect-clip)");

svg
.append("path")
.attr("class", "area upper inner")
.attr("d", upperInnerArea)
.attr("clip-path", "url(#rect-clip)");

svg
.append("path")
.attr("class", "area lower inner")
.attr("d", lowerInnerArea)
.attr("clip-path", "url(#rect-clip)");

svg
.append("path")
.attr("class", "median-line")
.attr("d", medianLine)
.attr("clip-path", "url(#rect-clip)");
}


function startTransitions(svg, chartWidth, chartHeight, rectClip, x) {
rectClip
.transition()
.duration(4000)
.attr("width", chartWidth);
}

function makeChart(data) {
var svgWidth = 960,
svgHeight = 500,
margin = { top: 20, right: 20, bottom: 40, left: 40 },
chartWidth = svgWidth - margin.left - margin.right,
chartHeight = svgHeight - margin.top - margin.bottom;

var x = d3.time
.scale()
.range([0, chartWidth])
.domain(
d3.extent(data, function(d) {
return d.date;
})
),
y = d3.scale
.linear()
.range([chartHeight, 0])
.domain([
0,
d3.max(data, function(d) {
return d.pct95;
})
]);

var xAxis = d3.svg
.axis()
.scale(x)
.orient("bottom")
.innerTickSize(-chartHeight)
.outerTickSize(0)
.tickPadding(10),
yAxis = d3.svg
.axis()
.scale(y)
.orient("left")
.innerTickSize(-chartWidth)
.outerTickSize(0)
.tickPadding(10);

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

// clipping to start chart hidden and slide it in later
var rectClip = svg
.append("clipPath")
.attr("id", "rect-clip")
.append("rect")
.attr("width", 0)
.attr("height", chartHeight);

addAxesAndLegend(svg, xAxis, yAxis, margin, chartWidth, chartHeight);
drawPaths(svg, data, x, y);
startTransitions(svg, chartWidth, chartHeight, rectClip, x);
}

var parseDate = d3.time.format("%Y-%m-%d").parse;
d3.json(
"https://gist.githubusercontent.com/rkirsling/33a9e350516da54a5d4f/raw/100dde6bc011fa2604f2c0fb2c160501e220a201/data.json",
function(error, rawData) {
if (error) {
console.error(error);
return;
}

var data = rawData.map(function(d) {
return {
date: parseDate(d.date),
pct05: d.pct05 / 1000,
pct25: d.pct25 / 1000,
pct50: d.pct50 / 1000,
pct75: d.pct75 / 1000,
pct95: d.pct95 / 1000
};
});

makeChart(data);
}
);
@import url(//fonts.googleapis.com/css?family=Open+Sans:400, 700);

svg {
font: 14px "Open Sans";
}

.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}

.axis text {
fill: #000;
}

.axis .tick line {
stroke: rgba(0, 0, 0, 0.1);
}

.area {
stroke-width: 1;
}

.area.outer,
.legend .outer {
fill: rgba(230, 230, 255, 0.8);
stroke: rgba(216, 216, 255, 0.8);
}

.area.inner,
.legend .inner {
fill: rgba(127, 127, 255, 0.8);
stroke: rgba(96, 96, 255, 0.8);
}

.median-line,
.legend .median-line {
fill: none;
stroke: #000;
stroke-width: 3;
}

.legend .legend-bg {
fill: rgba(0, 0, 0, 0.5);
stroke: rgba(0, 0, 0, 0.5);
}

.marker.client .marker-bg,
.marker.client path {
fill: rgba(255, 127, 0, 0.8);
stroke: rgba(255, 127, 0, 0.8);
stroke-width: 3;
}

.marker.server .marker-bg,
.marker.server path {
fill: rgba(0, 153, 51, 0.8);
stroke: rgba(0, 153, 51, 0.8);
stroke-width: 3;
}

.marker path {
fill: none;
}

.legend text,
.marker text {
fill: #fff;
font-weight: bold;
}

.marker text {
text-anchor: middle;
}
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Trend Chart (Area + Line)</title>
</head>
<body>
</body>
<script src="http://d3js.org/d3.v3.js"></script>
</html>

关于javascript - 集成 d3.js 趋势图(面积 + 线)作为数据工作室社区可视化,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/60057636/

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