pandrs 0.3.0

A high-performance DataFrame library for Rust, providing pandas-like API with advanced features including SIMD optimization, parallel processing, and distributed computing capabilities
Documentation 
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<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8">
    <title>PandRS - WebAssembly Visualization Example</title>
    <style>
        body {
            font-family: Arial, sans-serif;
            margin: 0;
            padding: 20px;
            background-color: #f5f5f5;
        }
        .container {
            max-width: 1200px;
            margin: 0 auto;
            background-color: white;
            padding: 20px;
            border-radius: 5px;
            box-shadow: 0 2px 5px rgba(0,0,0,0.1);
        }
        h1 {
            color: #333;
            margin-top: 0;
        }
        .controls {
            display: flex;
            flex-wrap: wrap;
            gap: 10px;
            margin-bottom: 20px;
        }
        select, button {
            padding: 8px 12px;
            border-radius: 4px;
            border: 1px solid #ddd;
        }
        button {
            background-color: #4285f4;
            color: white;
            border: none;
            cursor: pointer;
        }
        button:hover {
            background-color: #3367d6;
        }
        .chart-container {
            display: flex;
            flex-wrap: wrap;
            gap: 20px;
        }
        .chart {
            flex: 1;
            min-width: 300px;
            margin-bottom: 20px;
            padding: 10px;
            border: 1px solid #ddd;
            border-radius: 4px;
            background-color: white;
        }
        canvas {
            width: 100%;
            height: 100%;
            max-height: 400px;
        }
    </style>
</head>
<body>
    <div class="container">
        <h1>PandRS WebAssembly Visualization</h1>
        
        <div class="controls">
            <select id="chartType">
                <option value="line">Line Chart</option>
                <option value="bar">Bar Chart</option>
                <option value="scatter">Scatter Plot</option>
                <option value="area">Area Chart</option>
                <option value="pie">Pie Chart</option>
                <option value="histogram">Histogram</option>
                <option value="boxplot">Box Plot</option>
                <option value="heatmap">Heat Map</option>
            </select>
            
            <select id="colorTheme">
                <option value="default">Default Theme</option>
                <option value="dark">Dark Theme</option>
                <option value="light">Light Theme</option>
                <option value="pastel">Pastel Theme</option>
                <option value="vibrant">Vibrant Theme</option>
            </select>
            
            <button id="renderBtn">Render</button>
            <button id="exportBtn">Export</button>
        </div>
        
        <div class="chart-container">
            <div class="chart">
                <h3>Monthly Data Visualization</h3>
                <canvas id="mainChart" width="800" height="500"></canvas>
            </div>
            
            <div class="chart">
                <h3>Category Distribution</h3>
                <canvas id="secondaryChart" width="800" height="500"></canvas>
            </div>
        </div>
    </div>
    
    <script type="module">
        // Import the WebAssembly module
        import init, { WebVisualization, WebVisualizationConfig, ColorTheme, VisualizationType } from './pkg/pandrs_wasm.js';
        
        // Sample data (would typically come from a backend API)
        const sampleData = {
            "columns": ["month", "temperature", "rainfall", "visitors", "location"],
            "data": [
                ["Jan", 2.5, 48.2, 15, "Urban"],
                ["Feb", 3.1, 38.1, 18, "Urban"],
                ["Mar", 4.8, 35.3, 25, "Urban"],
                ["Apr", 6.3, 30.6, 32, "Urban"],
                ["May", 8.2, 28.5, 38, "Suburban"],
                ["Jun", 13.5, 24.1, 42, "Suburban"],
                ["Jul", 15.1, 20.5, 50, "Suburban"],
                ["Aug", 14.9, 22.8, 48, "Suburban"],
                ["Sep", 11.2, 31.9, 36, "Rural"],
                ["Oct", 8.5, 40.2, 28, "Rural"],
                ["Nov", 5.3, 45.5, 22, "Rural"],
                ["Dec", 3.8, 50.1, 17, "Rural"]
            ]
        };
        
        // Convert sample data to JSON suitable for PandRS
        const dataJson = JSON.stringify({
            "columns": sampleData.columns,
            "data": sampleData.data
        });
        
        // Initialize the WebAssembly module
        async function initializeWasm() {
            await init();
            
            // Set up event listeners
            document.getElementById('renderBtn').addEventListener('click', renderVisualizations);
            document.getElementById('exportBtn').addEventListener('click', exportCharts);
            
            // Initial render
            renderVisualizations();
        }
        
        function renderVisualizations() {
            // Get selected options
            const chartTypeEl = document.getElementById('chartType');
            const themeEl = document.getElementById('colorTheme');
            
            const chartType = chartTypeEl.value;
            const theme = themeEl.value;
            
            // Render main chart
            renderMainChart(chartType, theme);
            
            // Render secondary chart (always a pie chart of locations)
            renderSecondaryChart(theme);
        }
        
        function renderMainChart(chartType, theme) {
            try {
                // Create visualization config
                const config = new WebVisualizationConfig("mainChart");
                config.set_title("Monthly Data Visualization");
                
                // Set chart type
                switch (chartType) {
                    case "line": 
                        config.set_type(VisualizationType.Line); 
                        break;
                    case "bar": 
                        config.set_type(VisualizationType.Bar); 
                        break;
                    case "scatter": 
                        config.set_type(VisualizationType.Scatter); 
                        break;
                    case "area": 
                        config.set_type(VisualizationType.Area); 
                        break;
                    case "pie": 
                        config.set_type(VisualizationType.Pie); 
                        break;
                    case "histogram": 
                        config.set_type(VisualizationType.Histogram); 
                        break;
                    case "boxplot": 
                        config.set_type(VisualizationType.BoxPlot); 
                        break;
                    case "heatmap": 
                        config.set_type(VisualizationType.HeatMap); 
                        break;
                }
                
                // Set theme
                switch (theme) {
                    case "default": 
                        config.set_theme(ColorTheme.Default); 
                        break;
                    case "dark": 
                        config.set_theme(ColorTheme.Dark); 
                        break;
                    case "light": 
                        config.set_theme(ColorTheme.Light); 
                        break;
                    case "pastel": 
                        config.set_theme(ColorTheme.Pastel); 
                        break;
                    case "vibrant": 
                        config.set_theme(ColorTheme.Vibrant); 
                        break;
                }
                
                // Configure chart
                config.show_tooltips(true);
                config.show_legend(true);
                config.animate(true);
                
                // Create visualization
                const viz = new WebVisualization(config);
                viz.set_data(dataJson);
                
                // Render chart
                viz.render();
            } catch (e) {
                console.error("Error rendering main chart:", e);
            }
        }
        
        function renderSecondaryChart(theme) {
            try {
                // Create pie chart config
                const config = new WebVisualizationConfig("secondaryChart");
                config.set_title("Location Distribution");
                config.set_type(VisualizationType.Pie);
                
                // Set theme
                switch (theme) {
                    case "default": 
                        config.set_theme(ColorTheme.Default); 
                        break;
                    case "dark": 
                        config.set_theme(ColorTheme.Dark); 
                        break;
                    case "light": 
                        config.set_theme(ColorTheme.Light); 
                        break;
                    case "pastel": 
                        config.set_theme(ColorTheme.Pastel); 
                        break;
                    case "vibrant": 
                        config.set_theme(ColorTheme.Vibrant); 
                        break;
                }
                
                // Configure chart
                config.show_tooltips(true);
                config.show_legend(true);
                
                // Create visualization
                const viz = new WebVisualization(config);
                viz.set_data(dataJson);
                
                // Render chart
                viz.render();
            } catch (e) {
                console.error("Error rendering secondary chart:", e);
            }
        }
        
        function exportCharts() {
            try {
                // Export main chart
                const mainCanvas = document.getElementById('mainChart');
                const mainImage = mainCanvas.toDataURL('image/png');
                
                // Create download link
                const link = document.createElement('a');
                link.href = mainImage;
                link.download = 'pandrs_chart.png';
                link.click();
            } catch (e) {
                console.error("Error exporting charts:", e);
            }
        }
        
        // Initialize when page loads
        window.addEventListener('load', initializeWasm);
    </script>
</body>
</html>