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| 1 | +""" pyplots.ai |
| 2 | +mosaic-categorical: Mosaic Plot for Categorical Association Analysis |
| 3 | +Library: highcharts unknown | Python 3.13.11 |
| 4 | +Quality: 91/100 | Created: 2026-01-11 |
| 5 | +""" |
| 6 | + |
| 7 | +import tempfile |
| 8 | +import time |
| 9 | +import urllib.request |
| 10 | +from pathlib import Path |
| 11 | + |
| 12 | +import numpy as np |
| 13 | +import pandas as pd |
| 14 | +from highcharts_core.chart import Chart |
| 15 | +from highcharts_core.options import HighchartsOptions |
| 16 | +from PIL import Image |
| 17 | +from selenium import webdriver |
| 18 | +from selenium.webdriver.chrome.options import Options |
| 19 | + |
| 20 | + |
| 21 | +# Data - Titanic survival by passenger class (classic contingency table example) |
| 22 | +np.random.seed(42) |
| 23 | + |
| 24 | +# Create contingency table data: Class vs Survival |
| 25 | +# Realistic proportions based on Titanic data patterns |
| 26 | +data = { |
| 27 | + "Class": ["First", "First", "Second", "Second", "Third", "Third", "Crew", "Crew"], |
| 28 | + "Survival": ["Survived", "Died", "Survived", "Died", "Survived", "Died", "Survived", "Died"], |
| 29 | + "Count": [203, 122, 118, 167, 178, 528, 212, 673], |
| 30 | +} |
| 31 | +df = pd.DataFrame(data) |
| 32 | + |
| 33 | +# Calculate proportions for mosaic plot |
| 34 | +total = df["Count"].sum() |
| 35 | +class_totals = df.groupby("Class")["Count"].sum() |
| 36 | + |
| 37 | +# Build hierarchical data for treemap (mosaic-like visualization) |
| 38 | +# Parent nodes represent categories, children represent survival status |
| 39 | +treemap_data = [] |
| 40 | + |
| 41 | +# Color palette - colorblind-safe |
| 42 | +colors = { |
| 43 | + "Survived": "#306998", # Python Blue |
| 44 | + "Died": "#FFD43B", # Python Yellow |
| 45 | +} |
| 46 | + |
| 47 | +# Define order for consistent layout |
| 48 | +class_order = ["First", "Second", "Third", "Crew"] |
| 49 | + |
| 50 | +for cls in class_order: |
| 51 | + cls_data = df[df["Class"] == cls] |
| 52 | + cls_total = class_totals[cls] |
| 53 | + |
| 54 | + # Add parent node for class |
| 55 | + treemap_data.append({"id": cls, "name": cls}) |
| 56 | + |
| 57 | + # Add child nodes for each survival status |
| 58 | + for _, row in cls_data.iterrows(): |
| 59 | + treemap_data.append( |
| 60 | + {"parent": cls, "name": f"{row['Survival']}", "value": int(row["Count"]), "color": colors[row["Survival"]]} |
| 61 | + ) |
| 62 | + |
| 63 | +# Create chart |
| 64 | +chart = Chart(container="container") |
| 65 | +chart.options = HighchartsOptions() |
| 66 | + |
| 67 | +# Chart configuration - optimized margins for better canvas utilization |
| 68 | +chart.options.chart = { |
| 69 | + "type": "treemap", |
| 70 | + "width": 4800, |
| 71 | + "height": 2700, |
| 72 | + "backgroundColor": "#ffffff", |
| 73 | + "marginTop": 200, |
| 74 | + "marginBottom": 60, |
| 75 | + "marginLeft": 40, |
| 76 | + "marginRight": 40, |
| 77 | +} |
| 78 | + |
| 79 | +# Title - required format without extra descriptive text |
| 80 | +chart.options.title = { |
| 81 | + "text": "mosaic-categorical · highcharts · pyplots.ai", |
| 82 | + "style": {"fontSize": "72px", "fontWeight": "bold"}, |
| 83 | + "y": 70, |
| 84 | +} |
| 85 | + |
| 86 | +# Subtitle with Titanic context and legend explanation |
| 87 | +chart.options.subtitle = { |
| 88 | + "text": "Titanic Survival by Passenger Class · Rectangle area proportional to count · " |
| 89 | + "<span style='color:#306998'>■</span> Survived · " |
| 90 | + "<span style='color:#FFD43B'>■</span> Died", |
| 91 | + "style": {"fontSize": "42px", "color": "#555555"}, |
| 92 | + "useHTML": True, |
| 93 | + "y": 140, |
| 94 | +} |
| 95 | + |
| 96 | +# Tooltip |
| 97 | +chart.options.tooltip = { |
| 98 | + "style": {"fontSize": "36px"}, |
| 99 | + "pointFormat": "<b>{point.name}</b>: {point.value:,.0f} passengers", |
| 100 | +} |
| 101 | + |
| 102 | +# Treemap series configuration - stripes layout for mosaic effect |
| 103 | +series_config = { |
| 104 | + "type": "treemap", |
| 105 | + "name": "Passengers", |
| 106 | + "layoutAlgorithm": "stripes", |
| 107 | + "layoutStartingDirection": "horizontal", |
| 108 | + "alternateStartingDirection": True, |
| 109 | + "animationLimit": 1000, |
| 110 | + "dataLabels": {"enabled": True, "style": {"fontSize": "32px", "fontWeight": "bold", "textOutline": "3px contrast"}}, |
| 111 | + "levels": [ |
| 112 | + { |
| 113 | + "level": 1, |
| 114 | + "dataLabels": { |
| 115 | + "enabled": True, |
| 116 | + "align": "center", |
| 117 | + "verticalAlign": "top", |
| 118 | + "style": {"fontSize": "48px", "fontWeight": "bold", "textOutline": "3px contrast"}, |
| 119 | + "padding": 20, |
| 120 | + }, |
| 121 | + "borderWidth": 6, |
| 122 | + "borderColor": "#ffffff", |
| 123 | + }, |
| 124 | + { |
| 125 | + "level": 2, |
| 126 | + "dataLabels": { |
| 127 | + "enabled": True, |
| 128 | + "style": {"fontSize": "36px", "fontWeight": "bold", "textOutline": "2px contrast"}, |
| 129 | + }, |
| 130 | + "borderWidth": 3, |
| 131 | + "borderColor": "#ffffff", |
| 132 | + }, |
| 133 | + ], |
| 134 | + "data": treemap_data, |
| 135 | +} |
| 136 | + |
| 137 | +chart.options.series = [series_config] |
| 138 | + |
| 139 | +# Legend configuration - manual items for Survived/Died colors |
| 140 | +chart.options.legend = {"enabled": False} |
| 141 | + |
| 142 | +# Download Highcharts JS and treemap module |
| 143 | +highcharts_url = "https://code.highcharts.com/highcharts.js" |
| 144 | +treemap_url = "https://code.highcharts.com/modules/treemap.js" |
| 145 | + |
| 146 | +with urllib.request.urlopen(highcharts_url, timeout=30) as response: |
| 147 | + highcharts_js = response.read().decode("utf-8") |
| 148 | + |
| 149 | +with urllib.request.urlopen(treemap_url, timeout=30) as response: |
| 150 | + treemap_js = response.read().decode("utf-8") |
| 151 | + |
| 152 | +# Generate HTML with inline scripts |
| 153 | +html_str = chart.to_js_literal() |
| 154 | +html_content = f"""<!DOCTYPE html> |
| 155 | +<html> |
| 156 | +<head> |
| 157 | + <meta charset="utf-8"> |
| 158 | + <script>{highcharts_js}</script> |
| 159 | + <script>{treemap_js}</script> |
| 160 | +</head> |
| 161 | +<body style="margin:0;"> |
| 162 | + <div id="container" style="width: 4800px; height: 2700px;"></div> |
| 163 | + <script>{html_str}</script> |
| 164 | +</body> |
| 165 | +</html>""" |
| 166 | + |
| 167 | +# Save HTML for interactive version |
| 168 | +with open("plot.html", "w", encoding="utf-8") as f: |
| 169 | + standalone_html = f"""<!DOCTYPE html> |
| 170 | +<html> |
| 171 | +<head> |
| 172 | + <meta charset="utf-8"> |
| 173 | + <script src="https://code.highcharts.com/highcharts.js"></script> |
| 174 | + <script src="https://code.highcharts.com/modules/treemap.js"></script> |
| 175 | +</head> |
| 176 | +<body style="margin:0;"> |
| 177 | + <div id="container" style="width: 100%; height: 100vh;"></div> |
| 178 | + <script>{html_str}</script> |
| 179 | +</body> |
| 180 | +</html>""" |
| 181 | + f.write(standalone_html) |
| 182 | + |
| 183 | +# Write temp HTML and take screenshot |
| 184 | +with tempfile.NamedTemporaryFile(mode="w", suffix=".html", delete=False, encoding="utf-8") as f: |
| 185 | + f.write(html_content) |
| 186 | + temp_path = f.name |
| 187 | + |
| 188 | +chrome_options = Options() |
| 189 | +chrome_options.add_argument("--headless") |
| 190 | +chrome_options.add_argument("--no-sandbox") |
| 191 | +chrome_options.add_argument("--disable-dev-shm-usage") |
| 192 | +chrome_options.add_argument("--disable-gpu") |
| 193 | +chrome_options.add_argument("--window-size=4800,2900") |
| 194 | + |
| 195 | +driver = webdriver.Chrome(options=chrome_options) |
| 196 | +driver.get(f"file://{temp_path}") |
| 197 | +time.sleep(5) # Wait for chart to render |
| 198 | +driver.save_screenshot("plot_temp.png") |
| 199 | +driver.quit() |
| 200 | + |
| 201 | +# Crop to exact 4800x2700 dimensions |
| 202 | +img = Image.open("plot_temp.png") |
| 203 | +img_cropped = img.crop((0, 0, 4800, 2700)) |
| 204 | +img_cropped.save("plot.png") |
| 205 | +Path("plot_temp.png").unlink() |
| 206 | + |
| 207 | +Path(temp_path).unlink() # Clean up temp file |
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