pondjs

import { TimeSeries, TimeEvent, Collection, TimeRange } from 'pondjs'; // Example weather data for demonstration const weatherData = new Collection([ new TimeEvent(new Date('2024-01-01T00:00:00Z'), { value: 60 }), new TimeEvent(new Date('2024-01-01T01:00:00Z'), { value: 62 }), new TimeEvent(new Date('2024-01-01T02:00:00Z'), { value: 65 }), new TimeEvent(new Date('2024-01-02T00:00:00Z'), { value: 58 }), new TimeEvent(new Date('2024-01-02T01:00:00Z'), { value: 60 }), new TimeEvent(new Date('2024-01-02T02:00:00Z'), { value: 63 }), new TimeEvent(new Date('2024-01-03T00:00:00Z'), { value: 55 }) ]); const timeseries = new TimeSeries({ name: 'temperature', events: weatherData.toArray(), columns: ['time', 'value'] }); // Define aggregation function for average const avg = (events: TimeEvent[]) => { if (events.length === 0) { return null; } const sum = events.reduce((acc, event) => acc + event.get('value'), 0); return sum / events.length; }; // Perform daily average rollup on the 'value' column const dailyAvg = timeseries.fixedWindowRollup('1d', { value: avg }); console.log('Original TimeSeries events:', timeseries.events().map(e => e.data().toJSON())); console.log('\nDaily Average TimeSeries events:', dailyAvg.events().map(e => e.data().toJSON())); // Example: Get overall average value of a specific column const overallAvg = timeseries.avg('value'); console.log(`\nOverall average temperature: ${overallAvg}`); // Example: Create and intersect TimeRanges const tr1 = new TimeRange('2024-01-01T00:00:00Z', '2024-01-02T00:00:00Z'); const tr2 = new TimeRange('2024-01-01T12:00:00Z', '2024-01-02T12:00:00Z'); const intersection = tr1.intersection(tr2); console.log(`\nIntersection of TimeRanges: ${intersection ? intersection.toString() : 'No intersection'}`);