chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("id", "chart");
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
const path = svg.append("g")
.attr("fill", "none")
.attr("stroke-width", 1.5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.selectAll("path")
.data(data.series)
.join("path")
.attr("d", d => line(d.y))
.attr("data-index", (d, i) => i)
.attr("data-name", d => d.name)
.attr("class", "line");
return svg.node();
}
height = 360
yTickSize = 40
margin = ({top: 20, right: 0, bottom: 60, left: yTickSize})
x = d3.scaleLinear()
.domain(d3.extent(data.x))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, 1]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x)
.ticks(width / 140)
// .tickFormat(d3.format(".0s"))
.tickFormat(d3.formatPrefix(".0", 1e6))
.tickSizeOuter(0))
.call(g => g.selectAll(".tick text") // tick labels
.attr("class", "xsmall-copy"))
.call(g => g.select(".tick:first-of-type text").clone() // unit label
.attr("y", 28)
.attr("class", "xsmall-copy font-bold font-sans-serif")
.text("Samples"))
yAxis = g => g
.attr("transform", `translate(${margin.left + 1},0)`)
.attr("stroke-opacity", 0.05)
.call(d3.axisLeft(y)
.ticks(5)
.tickSize(yTickSize)) // left axis
.call(g => g.selectAll(".tick line").clone() // grid lines
.attr("stroke-opacity", 0.05)
.attr("x2", width - margin.left - margin.right))
.call(g => g.select(".tick:first-of-type") // first tick opacity
.attr("stroke-opacity", 1))
.call(g => g.selectAll(".tick text") // tick labels
.style("text-anchor", "start")
.attr("x", -yTickSize)
.attr("y", -9)
.attr("class", "xsmall-copy"))
.call(g => g.select(".domain").remove()) // remove domain line
.call(g => g.select(".tick:last-of-type text").clone() // unit label
.attr("x", `${yLabelOffset}`)
.attr("text-anchor", "start")
.attr("class", "xsmall-copy font-bold font-sans-serif")
.text("Normalized Reward"))
yLabelOffset = -yTickSize + 30
line = d3.line()
.defined(d => !isNaN(d))
.x((d, i) => x(data.x[i]))
.y(d => y(d))
data = {
const data = await d3.json("https://gist.githubusercontent.com/justinjaywang/f550f718980f2057b6e939c7f008e025/raw/f1b5463667faddc1f17f329beb215b971b347037/object_counting.json");
data.series = Object.keys(data).map(k => ({
name: k,
y: data[k].y,
y_upper: data[k].y_upper,
y_lower: data[k].y_lower
}));
data.x = data[Object.keys(data)[0]].x;
return data;
}
data.x
data.y
data
d3 = require("d3@5")
openaicss = {
return html`<link rel="stylesheet" type="text/css" href="https://cdn.openai.com/miscellaneous/observable-1.5.0/styles/openai-css.css">`
}
html`<style>
svg, g {
color: var(--black);
font-size: 1rem;
}
#chart [data-index="0"] { /* hide-and-seek */
stroke: var(--medium-blue);
}
#chart [data-index="1"] {
stroke: var(--cool-gray-1);
}
#chart [data-index="2"] { /* count-based */
stroke: var(--golden);
}
</style>`
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