pincode-map/index.html at main · hfactor/pincode-map · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>India by Pincode Colors</title>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.9.4/leaflet.css" />
    <style>
        body {
            margin: 0;
            padding: 20px;
            font-family: 'Georgia', serif;
            background-color: #f8f9fa;
            color: #333;
        }

        .container {
            max-width: 1200px;
            margin: 0 auto;
        }

        h1 {
            text-align: center;
            font-size: 2.5em;
            margin-bottom: 30px;
            color: #2c3e50;
            font-weight: normal;
        }

        .description {
            font-size: 1.1em;
            line-height: 1.6;
            margin-bottom: 30px;
            text-align: justify;
            max-width: 800px;
            margin-left: auto;
            margin-right: auto;
        }

        #map {
            height: 800px;
            width: 100%;
            border: 2px solid #34495e;
            margin: 20px 0;
            background-color: white;
        }

        .credits {
            text-align: center;
            font-size: 0.8em;
            color: #7f8c8d;
            margin-top: 20px;
            line-height: 1.4;
        }

        .loading {
            text-align: center;
            padding: 20px;
            font-style: italic;
            color: #666;
        }

        @media print {
            body { background-color: white; }
            .container { max-width: none; }
            #map { height: 600px; page-break-inside: avoid; }
        }
    </style>
</head>
<body>
    <div class="container">
        <h1>India by Pincode Colors</h1>

        <div class="loading" id="loading">Loading India's pincode colors...</div>
        <div id="map" style="display: none;"></div>

        <div class="credits">
            Data Source: India Post Pincode Boundaries from <a href=https://www.data.gov.in/resource/delivery-post-office-pincode-boundary">data.gov.in</a><br>
            Visualization Concept: Pincode to Hexadecimal Color Mapping<br>
            Created by <a href="https://hiran.in">Hiran Venugopalan</a>, Thanks : <a href="https://kerala.openstreetmap.in/maintainers/">OSM Kerala Team</a>
        </div>
    </div>

    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.9.4/leaflet.min.js"></script>
    <script>
        let map;

        async function loadAndDisplayMap() {
            try {
                // Load the geojson file
                const response = await fetch('data.geojson');
                if (!response.ok) {
                    throw new Error(`Failed to load data file: ${response.status}`);
                }

                const geojsonText = await response.text();
                console.log('File loaded, length:', geojsonText.length);

                // Try to parse as complete geojson first
                let geojsonData;
                try {
                    geojsonData = JSON.parse(geojsonText);
                    console.log('Parsed as complete geojson');
                } catch (e) {
                    // If that fails, try parsing as individual features per line
                    console.log('Parsing as individual features per line');
                    const features = [];
                    const lines = geojsonText.trim().split('\n');

                    for (const line of lines) {
                        if (line.trim()) {
                            try {
                                const feature = JSON.parse(line.trim());
                                if (feature.type === 'Feature' && feature.properties && feature.properties.Pincode) {
                                    features.push(feature);
                                }
                            } catch (parseError) {
                                console.warn('Could not parse line:', line.substring(0, 50) + '...');
                            }
                        }
                    }

                    geojsonData = {
                        type: 'FeatureCollection',
                        features: features
                    };
                }

                console.log(`Loaded ${geojsonData.features.length} pincode areas`);

                if (geojsonData.features.length === 0) {
                    throw new Error('No pincode features found in the data');
                }

                // Initialize the map
                map = L.map('map').setView([22.5937, 78.9629], 5); // Center on India

L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
    attribution: '&copy; OpenStreetMap contributors',
    maxZoom: 18
}).addTo(map);


                // Add the geojson layer with color styling
                const pincodeLayer = L.geoJSON(geojsonData, {
                    style: function(feature) {
                        const pincode = feature.properties.Pincode;
                        const hexColor = `#${pincode}`;

                        return {
                            fillColor: hexColor,
                            fillOpacity: 1.0,
                            color: hexColor,
                            weight: 0.15,
                            opacity: 0.3
                        };
                    },
                    onEachFeature: function(feature, layer) {
                        const pincode = feature.properties.Pincode;
                        const hexColor = `#${pincode}`;
                        const officeName = feature.properties.Office_Name || 'Unknown';
                        layer.bindTooltip(`${officeName}<br>Pincode: ${pincode}<br>Color: ${hexColor}`, {
                            permanent: false,
                            direction: 'auto'
                        });
                    }
                });

                pincodeLayer.addTo(map);

                // Fit map to bounds
                const bounds = pincodeLayer.getBounds();
                map.setView([22.5937, 78.9629], 4);  // Good zoom level to see full India


                // Hide loading and show map
                document.getElementById('loading').style.display = 'none';
                document.getElementById('map').style.display = 'block';
                console.log(feature.geometry.coordinates);
                console.log('Map loaded successfully!');

            } catch (error) {
                console.error('Error loading map:', error);
                document.getElementById('loading').innerHTML = `Error loading map: ${error.message}`;
            }
        }

        // Load the map when page is ready
        window.addEventListener('load', loadAndDisplayMap);
    </script>
</body>
</html>