https://github.com/javascriptdata/danfojs-doc
Documentation for Danfo.js
https://github.com/javascriptdata/danfojs-doc
Last synced: 2 months ago
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Documentation for Danfo.js
- Host: GitHub
- URL: https://github.com/javascriptdata/danfojs-doc
- Owner: javascriptdata
- Created: 2020-06-29T17:18:43.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2024-02-25T02:04:01.000Z (about 1 year ago)
- Last Synced: 2025-01-11T16:31:58.029Z (4 months ago)
- Size: 2.78 MB
- Stars: 10
- Watchers: 1
- Forks: 20
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
- Contributing: contributing-guide.md
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README
---
description: >-
Danfo.js is an open-source, JavaScript library providing high-performance,
intuitive, and easy-to-use data structures for manipulating and processing
structured data.
---
# Danfo.js Documentation
D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html) library and provides a similar interface and API. This means users familiar with the [Pandas ](https://pandas.pydata.org/pandas-docs/stable/index.html)API can easily use D**anfo.js.**
## Main Features
* Danfo.js is fast and supports[ Tensorflow.js](https://js.tensorflow.org)'s tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa.
* Easy handling of missing data (represented as `NaN, undefined, or null`) in data
* Size mutability: columns can be inserted/deleted from DataFrames
* Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
* Powerful, flexible, [groupby](api-reference/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
* Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read\_csv.md) (CSV and delimited), Excel, and JSON data format.
* Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MESZnq3\_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
* Timeseries-specific functionality: date range generation and date and time properties.
* Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
## Getting Started
New to Danfo? Check out the getting started guides. It contains a quick introduction to D\_anfo's\_ main concepts and links to additional content.
{% content-ref url="getting-started.md" %}
[getting-started.md](getting-started.md)
{% endcontent-ref %}
## **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.
{% content-ref url="api-reference/" %}
[api-reference](api-reference/)
{% endcontent-ref %}
## User Guides/Tutorials
{% content-ref url="examples/" %}
[examples](examples/)
{% endcontent-ref %}
## Building Data Driven Applications with Danfo.js - Book
{% content-ref url="building-data-driven-applications-with-danfo.js-book.md" %}
[building-data-driven-applications-with-danfo.js-book.md](building-data-driven-applications-with-danfo.js-book.md)
{% endcontent-ref %}
## Contributing Guide
Want to help improve our documentation and existing functionalities? The contributing guidelines will guide you through the process.
{% content-ref url="contributing-guide.md" %}
[contributing-guide.md](contributing-guide.md)
{% endcontent-ref %}
## Release Notes
{% content-ref url="release-notes.md" %}
[release-notes.md](release-notes.md)
{% endcontent-ref %}