# 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 ](https://danfo.jsdata.org/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`](https://danfo.jsdata.org/api-reference/series), [`DataFrame`](https://danfo.jsdata.org/api-reference/dataframe), etc. automatically align the data for you in computations
* Powerful, flexible, [groupby](https://danfo.jsdata.org/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](https://danfo.jsdata.org/api-reference/general-functions/danfo.merge) and [joining](https://danfo.jsdata.org/api-reference/general-functions/danfo.concat) data sets
* Robust IO tools for loading data from [flat-files](https://danfo.jsdata.org/api-reference/input-output/danfo.read_csv) (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](https://danfo.jsdata.org/api-reference/general-functions/danfo.onehotencoder), [LabelEncoders](https://danfo.jsdata.org/api-reference/general-functions/danfo.labelencoder), and scalers like [StandardScaler](https://danfo.jsdata.org/api-reference/general-functions/danfo.standardscaler) and [MinMaxScaler](https://danfo.jsdata.org/api-reference/general-functions/danfo.minmaxscaler) 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" %}
[getting-started](https://danfo.jsdata.org/getting-started)
{% 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](https://danfo.jsdata.org/api-reference)
{% endcontent-ref %}

## User Guides/Tutorials

{% content-ref url="examples" %}
[examples](https://danfo.jsdata.org/examples)
{% endcontent-ref %}

## Building Data Driven Applications with Danfo.js - Book

{% content-ref url="building-data-driven-applications-with-danfo.js-book" %}
[building-data-driven-applications-with-danfo.js-book](https://danfo.jsdata.org/building-data-driven-applications-with-danfo.js-book)
{% 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" %}
[contributing-guide](https://danfo.jsdata.org/contributing-guide)
{% endcontent-ref %}

## Release Notes

{% content-ref url="release-notes" %}
[release-notes](https://danfo.jsdata.org/release-notes)
{% endcontent-ref %}


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