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update(bubble-packed): highcharts — comprehensive quality review (#4365)
## Summary Updated **highcharts** implementation for **bubble-packed**. **Changes:** Comprehensive quality review ### Changes - Cleaned up redundant section comments - Minor code tidying - Updated header and metadata ## Test Plan - [x] Preview images uploaded to GCS staging - [x] Implementation file passes ruff format/check - [x] Metadata YAML updated with current versions - [ ] Automated review triggered --- Generated with [Claude Code](https://claude.com/claude-code) `/update` command --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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‎plots/bubble-packed/implementations/highcharts.py‎

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""" pyplots.ai
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bubble-packed: Basic Packed Bubble Chart
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Library: highcharts unknown | Python 3.13.11
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Quality: 90/100 | Created: 2025-12-23
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Library: highcharts 1.10.3 | Python 3.14.3
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Quality: 85/100 | Updated: 2026-02-23
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"""
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import tempfile
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from selenium.webdriver.chrome.options import Options
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# Data - Company market share by sector
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# Packed bubbles group by sector with size representing market value
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# Data - Company market value by sector ($B)
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data = [
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# Technology sector
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{
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"name": "Technology",
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"data": [
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{"name": "Software", "value": 850},
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{"name": "Hardware", "value": 420},
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{"name": "Cloud Services", "value": 680},
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{"name": "Semiconductors", "value": 390},
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{"name": "Cybersecurity", "value": 280},
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{"name": "Cloud", "value": 680},
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{"name": "Semicon.", "value": 390},
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{"name": "Cybersec.", "value": 280},
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],
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},
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# Finance sector
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{
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"name": "Finance",
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"data": [
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{"name": "Banking", "value": 720},
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{"name": "Insurance", "value": 480},
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{"name": "Asset Management", "value": 350},
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{"name": "Asset Mgmt", "value": 350},
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{"name": "Fintech", "value": 260},
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],
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},
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# Healthcare sector
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{
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"name": "Healthcare",
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"data": [
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{"name": "Pharmaceuticals", "value": 580},
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{"name": "Medical Devices", "value": 320},
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{"name": "Pharma", "value": 580},
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{"name": "Med Devices", "value": 320},
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{"name": "Biotech", "value": 420},
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{"name": "Healthcare Services", "value": 240},
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{"name": "Health Svcs", "value": 240},
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],
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},
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# Energy sector
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{
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"name": "Energy",
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"data": [
@@ -59,86 +54,118 @@
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{"name": "Utilities", "value": 290},
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],
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},
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# Consumer sector
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{
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"name": "Consumer",
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"data": [
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{"name": "Retail", "value": 460},
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{"name": "Food & Beverage", "value": 340},
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{"name": "Food & Bev", "value": 340},
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{"name": "Automotive", "value": 510},
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{"name": "Entertainment", "value": 270},
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{"name": "Entertain.", "value": 270},
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],
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},
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]
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# Colorblind-safe palette for sectors
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colors = ["#306998", "#FFD43B", "#9467BD", "#17BECF", "#8C564B"]
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# Refined colorblind-safe palette — muted tones with strong contrast
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colors = ["#306998", "#D4920B", "#7B4F9E", "#0E9AA7", "#C05746"]
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# Create chart
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chart = Chart(container="container")
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chart.options = HighchartsOptions()
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# Chart configuration
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chart.options.chart = {"type": "packedbubble", "width": 4800, "height": 2700, "backgroundColor": "#ffffff"}
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# Render at 900x900 CSS px, capture at 4x device scale → 3600x3600 (square format)
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chart.options.chart = {
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"type": "packedbubble",
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"width": 900,
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"height": 900,
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"backgroundColor": {
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"linearGradient": {"x1": 0, "y1": 0, "x2": 0, "y2": 1},
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"stops": [[0, "#FAFBFD"], [1, "#F0F2F5"]],
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},
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"style": {"fontFamily": "'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif"},
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"spacing": [8, 8, 12, 8],
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}
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# Title
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# Title — sizes at 1/4 of target since 4x device scale factor
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chart.options.title = {
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"text": "bubble-packed · Market Sectors · highcharts · pyplots.ai",
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"style": {"fontSize": "64px", "fontWeight": "bold"},
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"text": "bubble-packed \u00b7 highcharts \u00b7 pyplots.ai",
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"style": {"fontSize": "16px", "fontWeight": "700", "color": "#1a1a2e"},
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"margin": 2,
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}
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# Subtitle
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chart.options.subtitle = {"text": "Circle size represents market value ($B)", "style": {"fontSize": "36px"}}
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chart.options.subtitle = {
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"text": "Market value by sector ($B)",
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"style": {"fontSize": "9px", "color": "#555555", "fontWeight": "400"},
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}
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# Hide watermark
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chart.options.credits = {"enabled": False}
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# Tooltip
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chart.options.tooltip = {
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"useHTML": True,
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"style": {"fontSize": "28px"},
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"style": {"fontSize": "8px"},
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"pointFormat": "<b>{point.name}</b>: ${point.value}B",
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}
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# Legend
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chart.options.legend = {"enabled": True, "itemStyle": {"fontSize": "36px"}, "symbolHeight": 24, "symbolWidth": 24}
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# Legend — compact with small symbols
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chart.options.legend = {
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"enabled": True,
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"layout": "horizontal",
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"align": "center",
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"verticalAlign": "bottom",
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"floating": False,
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"margin": 4,
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"padding": 6,
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"itemStyle": {"fontSize": "9px", "fontWeight": "500", "color": "#333333"},
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"symbolHeight": 6,
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"symbolWidth": 6,
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"symbolRadius": 3,
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"itemDistance": 16,
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}
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# Plot options for packed bubble
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# Plot options — selective labels on largest bubbles to prevent overlap
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chart.options.plot_options = {
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"packedbubble": {
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"minSize": "60%",
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"maxSize": "180%",
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"minSize": "40%",
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"maxSize": "200%",
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"zMin": 0,
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"zMax": 1000,
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"layoutAlgorithm": {
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"gravitationalConstant": 0.02,
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"splitSeries": False,
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"seriesInteraction": True,
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"splitSeries": True,
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"seriesInteraction": False,
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"dragBetweenSeries": False,
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"parentNodeLimit": False,
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"parentNodeLimit": True,
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"parentNodeOptions": {"reingold": {"gravitationalConstant": 0.08}, "marker": {"fillOpacity": 0}},
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"bubblePadding": 6,
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},
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"dataLabels": {
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"enabled": True,
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"format": "{point.name}",
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"filter": {"property": "y", "operator": ">", "value": 230},
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"style": {"fontSize": "28px", "fontWeight": "bold", "color": "white", "textOutline": "2px contrast"},
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"filter": {"property": "y", "operator": ">", "value": 480},
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"style": {"fontSize": "10px", "fontWeight": "600", "color": "white", "textOutline": "1px rgba(0,0,0,0.4)"},
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},
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"marker": {"lineWidth": 1, "lineColor": "rgba(255,255,255,0.35)"},
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}
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}
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126-
# Add series with colors
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# Add series with colors and per-bubble opacity for visual hierarchy
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series_list = []
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for i, sector in enumerate(data):
129-
series_config = {
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"type": "packedbubble",
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"name": sector["name"],
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"data": sector["data"],
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"color": colors[i % len(colors)],
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}
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series_list.append(series_config)
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enriched_data = []
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for item in sector["data"]:
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opacity = 0.7 + 0.3 * (item["value"] / 850)
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enriched_data.append({"name": item["name"], "value": item["value"], "marker": {"fillOpacity": opacity}})
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series_list.append(
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{"type": "packedbubble", "name": sector["name"], "data": enriched_data, "color": colors[i % len(colors)]}
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)
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chart.options.series = series_list
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# Download Highcharts JS and highcharts-more.js for packed bubble support
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highcharts_url = "https://code.highcharts.com/highcharts.js"
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highcharts_more_url = "https://code.highcharts.com/highcharts-more.js"
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highcharts_url = "https://cdn.jsdelivr.net/npm/highcharts/highcharts.js"
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highcharts_more_url = "https://cdn.jsdelivr.net/npm/highcharts/highcharts-more.js"
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with urllib.request.urlopen(highcharts_url, timeout=30) as response:
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highcharts_js = response.read().decode("utf-8")
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# Generate HTML with inline scripts
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html_str = chart.to_js_literal()
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# Post-render: center and scale the bubble cluster to fill 90% of the plot area
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fit_script = """
181+
<script>
182+
setTimeout(function() {
183+
var c = Highcharts.charts[0];
184+
if (!c || !c.seriesGroup) return;
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var el = c.seriesGroup.element;
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var bb = el.getBBox();
187+
if (bb.width < 1 || bb.height < 1) return;
188+
var s = Math.min(c.plotWidth * 0.92 / bb.width, c.plotHeight * 0.92 / bb.height, 1.6);
189+
if (s <= 1.05) return;
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var tx = c.plotLeft + c.plotWidth / 2 - (bb.x + bb.width / 2) * s;
191+
var ty = c.plotTop + c.plotHeight / 2 - (bb.y + bb.height / 2) * s;
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el.setAttribute('transform', 'translate(' + tx + ',' + ty + ') scale(' + s + ')');
193+
}, 6000);
194+
</script>
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"""
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html_content = f"""<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<script>{highcharts_js}</script>
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<script>{highcharts_more_js}</script>
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<style>
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.highcharts-series-group,
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.highcharts-series-group > * {{
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overflow: visible !important;
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}}
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svg.highcharts-root {{
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overflow: visible !important;
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}}
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</style>
157212
</head>
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<body style="margin:0;">
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<div id="container" style="width: 4800px; height: 2700px;"></div>
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<body style="margin:0; overflow:hidden; background:#F0F2F5; min-height:100vh;">
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<div id="container" style="width: 900px; height: 900px; overflow: visible;"></div>
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<script>{html_str}</script>
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{fit_script}
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</body>
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</html>"""
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<html>
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<head>
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<meta charset="utf-8">
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<script src="https://code.highcharts.com/highcharts.js"></script>
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<script src="https://code.highcharts.com/highcharts-more.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/highcharts/highcharts.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/highcharts/highcharts-more.js"></script>
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</head>
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<body style="margin:0;">
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<div id="container" style="width: 100%; height: 100vh;"></div>
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chrome_options.add_argument("--no-sandbox")
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chrome_options.add_argument("--disable-dev-shm-usage")
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chrome_options.add_argument("--disable-gpu")
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chrome_options.add_argument("--window-size=4800,2900")
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chrome_options.add_argument("--window-size=1100,1100")
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chrome_options.add_argument("--force-device-scale-factor=4")
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driver = webdriver.Chrome(options=chrome_options)
193250
driver.get(f"file://{temp_path}")
194-
time.sleep(5) # Wait for chart to render
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time.sleep(10)
195252
driver.save_screenshot("plot_raw.png")
196253
driver.quit()
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198-
# Crop to exact 4800x2700 dimensions
255+
# Crop to exact 3600x3600 dimensions (square format)
199256
img = Image.open("plot_raw.png")
200-
img_cropped = img.crop((0, 0, 4800, 2700))
257+
img_cropped = img.crop((0, 0, 3600, 3600))
201258
img_cropped.save("plot.png")
202259
Path("plot_raw.png").unlink()
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Path(temp_path).unlink() # Clean up temp file
261+
Path(temp_path).unlink()

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