This module is currently under active development, and I am working hard to roll out new features in the coming weeks.
Find Details on what to expect on GitHub issues and Wiki
Stay tuned for updates and thank you for your patience and support as I continue to improve this package.
panel-data provides a PanelData object designed to store and manage panel-data style data. It supports efficient manipulation and analysis of time-series cross-sectional datasets, commonly used in supply chain management, logistics, and other domains requiring structured, row or column-oriented data handling.
npm install panel-dataRight now, you can use the PanelData and Series classes to store and manipulate data in a format similar to pandas DataFrames and Series in Python.
const PanelData = require('./panel-data');
const Series = require('./series');
// Create a few Series objects
const observations = new Series([7, 6, 8, 7], { name: 'Observations', index: [1, 2, 3, 4] });
const day = new Series(['Monday', 'Tuesday', 'Wednesday', 'Thursday'], { name: 'Day', index: [1, 2, 3, 4] });
const conditionsMet = new Series([true, true, false, true], { name: 'Conditions Met', index: [1, 2, 3, 4] });
// Create a PanelData object from an array of Series objects
const panelData = new PanelData([observations, day, conditionsMet]);
// Access some useful information
console.log(panelData.columns); // ['Observations', 'Day', 'Conditions Met']
console.log(panelData.index); // [1, 2, 3, 4]
console.log(panelData.shape); // [4, 3]
console.log(panelData.dtypes.toArray()); // ['int32', 'object', 'boolean']
// Get a summary of the data
console.log(panelData.info);
// Convert the PanelData back to a regular JavaScript object
console.log(panelData.toJSON);
// Count non-null values in each series
console.log(panelData.countNonNull.toArray()); // [4, 4, 4]see the GitHub Wiki for full documentation.
I'm committed to making this npm package the best it can be, and need your input to do it! If this package was useful, met your expectations, or if it fell short in some way, I'd love to hear from you. Your feedback will help me understand what's working and what features are in demand.
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Check out the Release Notes
Interested in contributing? See how to contribute, I'd love your help.
This project is licensed under the MIT License. See the LICENSE file for details.
See the To-Do list or submit your own feature requests on GitHub Issues