study-buddy / app /agents /d3 /templates /chart_scatter.py
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"""Scatter chart template — fetch-and-adapt from d3-graph-gallery.com.
Adapted from d3-graph-gallery.com (Yan Holtz) —
https://d3-graph-gallery.com/graph/scatter_basic.html
"""
from __future__ import annotations
from pydantic import BaseModel
from app.agents.d3.registry import D3Template, register
class Pt(BaseModel):
x: float
y: float
label: str = ""
class ScatterData(BaseModel):
title: str = ""
x_label: str = ""
y_label: str = ""
data: list[Pt]
_HTML = """<!-- Adapted from d3-graph-gallery.com (Yan Holtz) — https://d3-graph-gallery.com/graph/scatter_basic.html -->
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v7.min.js"></script>
<style>
html, body { margin: 0; padding: 0; width: 100vw; height: 100vh; background: #FAF7F2; color: #1A3557; font-family: Georgia, 'Libre Caslon Text', serif; overflow: hidden; }
#my_dataviz { width: 100vw; height: 100vh; }
.axis text { fill: #1A3557; font-size: 12px; }
.axis path, .axis line { stroke: #1A3557; }
.chart-title { fill: #1A3557; font-size: 18px; text-anchor: middle; }
.axis-label { fill: #1A3557; font-size: 13px; text-anchor: middle; }
</style>
</head>
<body>
<div id="my_dataviz"></div>
<script>
const data = __DATA__;
// set the dimensions and margins of the graph
const margin = {top: 50, right: 30, bottom: 60, left: 60},
width = 960 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom;
// append the svg object to the body of the page
const svg = d3.select("#my_dataviz")
.append("svg")
.attr("viewBox", `0 0 ${width + margin.left + margin.right} ${height + margin.top + margin.bottom}`)
.attr("preserveAspectRatio", "xMidYMid meet")
.style("width", "100%")
.style("height", "100%")
.append("g")
.attr("transform", `translate(${margin.left},${margin.top})`);
// Chart title
svg.append("text")
.attr("class", "chart-title")
.attr("x", width / 2)
.attr("y", -20)
.text(data.title);
// Add X axis
const x = d3.scaleLinear()
.domain(d3.extent(data.data, d => d.x))
.range([ 0, width ]);
svg.append("g")
.attr("class", "axis")
.attr("transform", `translate(0, ${height})`)
.call(d3.axisBottom(x));
svg.append("text")
.attr("class", "axis-label")
.attr("x", width / 2)
.attr("y", height + margin.bottom - 10)
.text(data.x_label);
// Add Y axis
const y = d3.scaleLinear()
.domain(d3.extent(data.data, d => d.y))
.range([ height, 0 ]);
svg.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y));
svg.append("text")
.attr("class", "axis-label")
.attr("transform", "rotate(-90)")
.attr("x", -height / 2)
.attr("y", -45)
.text(data.y_label);
// Add dots
svg.append('g')
.selectAll("dot")
.data(data.data)
.join("circle")
.attr("cx", d => x(d.x))
.attr("cy", d => y(d.y))
.attr("r", 4)
.style("fill", "#4A7FB5")
.append("title")
.text(d => d.label);
</script>
</body>
</html>
"""
golden_sample = ScatterData(
title="Demo",
x_label="X",
y_label="Y",
data=[
Pt(x=1, y=2, label="a"),
Pt(x=2, y=4, label="b"),
Pt(x=3, y=1, label="c"),
],
)
register(
D3Template(
id="scatter",
family="chart",
title="Scatter plot",
when_to_use="Show the relationship between two numeric variables across individual observations.",
data_requirements="A set of (x, y) points, optionally labeled.",
schema=ScatterData,
html_template=_HTML,
golden_sample=golden_sample,
)
)