Danfo.js Documentation
Danfo.js is an open-source, JavaScript library providing high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data.
Main Features
- Danfo.js is fast. It is built on Tensorflow.js, and supports tensors out of the box. This means you can convert Danfo.js DataFrames to Tensors, and vice versa.
- Easy handling of missing data (represented as
NaN) in floating point as well as non-floating point data - Size mutability: columns can be inserted/deleted from DataFrame
- Powerful, flexible, groupby functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
- Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
- Intelligent label-based slicing, fancy indexing, and querying of large data sets
- Timeseries-specific functionality: date range generation and date and time properties.
- Robust data preprocessing functions like OneHotEncoders, LabelEncoders, and scalers like StandardScaler and MinMaxScaler are supported on DataFrame and Series
Getting Started
New to Danfo? Check out the getting started guides. It contains a quick introduction to Danfo's main concepts and links to additional content.
API Reference
The reference guide contains a detailed description of the danfo API. The reference describes how each function works and which parameters can be used.
User Guides/Tutorials
Building Data Driven Applications with Danfo.js - Book
Contributing Guide
Want to help improve our documentation and existing functionalities? The contributing guidelines will guide you through the process.
Release Notes
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Last modified 1mo ago