Danfo.js
  • Danfo.js Documentation
  • Getting Started
  • API reference
    • General Functions
      • danfo.tensorflow
      • danfo. convertFunctionTotransformer
      • danfo.streamCsvTransformer
      • danfo.streamJSON
      • danfo.streamCSV
      • danfo.Utils
      • danfo.Str
      • danfo.Dt
      • danfo.dateRange
      • danfo.OneHotEncoder
      • danfo.StandardScaler
      • danfo.MinMaxScaler
      • danfo.LabelEncoder
      • danfo.toDateTime
      • danfo.getDummies
      • danfo.concat
      • danfo.merge
    • Input/Output
      • danfo.readExcel
      • danfo.toExcel
      • danfo.readJSON
      • danfo.toJSON
      • danfo.readCSV
      • danfo.toCSV
    • Series
      • Creating a Series
      • Series.append
      • Series.cumSum
      • Series.cumMax
      • Series.cumProd
      • Series.cumMin
      • Series.str.split
      • Series.str.len
      • Series.str.join
      • Series.str.trim
      • Series.str.substring
      • Series.str.substr
      • Series.str.slice
      • Series.str.search
      • Series.str.repeat
      • Series.str.replace
      • Series.str.lastIndexOf
      • Series.str.indexOf
      • Series.str.includes
      • Series.str.endsWith
      • Series.str.startsWith
      • Series.str.concat
      • Series.str.charAt
      • Series.str.toUpperCase
      • Series.str.toLowerCase
      • Series.str.capitalize
      • Series.dt.seconds
      • Series.dt.minutes
      • Series.dt.dayOfMonth
      • Series.dt.monthName
      • Series.dt.hours
      • Series.dt.dayOfWeek
      • Series.dt.dayOfWeek
      • Series.dt.month
      • Series.dt.year
      • Series.argMax
      • Series.argMin
      • Series.argSort
      • Series.replace
      • Series.isNa
      • Series.fillNa
      • Series.dropNa
      • Series.dropDuplicates
      • Series.valueCounts
      • Series.nUnique
      • Series.unique
      • Series.abs
      • Series.ne
      • Series.eq
      • Series.ge
      • Series.le
      • Series.gt
      • Series.lt
      • Series.iloc
      • Series.loc
      • Series.at
      • Series.iat
      • Series.ndim
      • Series.shape
      • Series.dtype
      • Series.values
      • Series.tensor
      • Series.index
      • Series.apply
      • Series.map
      • Series.setIndex
      • Series.resetIndex
      • Series.describe
      • Series.copy
      • Series.sortValues
      • Series.var
      • Series.std
      • Series.round
      • Series.minimum
      • Series.maximum
      • Series.count
      • Series.sum
      • Series.max
      • Series.min
      • Series.mode
      • Series.median
      • Series.mean
      • Series.mod
      • Series.pow
      • Series.div
      • Series.mul
      • Series.sub
      • Series.add
      • Series.sample
      • Series.tail
      • Series.head
      • Series.and
      • Series.or
    • Dataframe
      • Creating a DataFrame
      • DataFrame.sortIndex
      • DataFrame.append
      • DataFrame.nUnique
      • DataFrame.tensor
      • DataFrame.print
      • DataFrame.toCSV
      • DataFrame.toJSON
      • DataFrame.toExcel
      • DataFrame.sortValues
      • DataFrame.setIndex
      • DataFrame.resetIndex
      • DataFrame.rename
      • DataFrame.drop
      • DataFrame.asType
      • DataFrame.shape
      • DataFrame.axis
      • DataFrame.ndim
      • DataFrame.values
      • DataFrame.selectDtypes
      • DataFrame.ctypes
      • DataFrame.index
      • DataFrame.loc
      • DataFrame.iloc
      • DataFrame.at
      • DataFrame.iat
      • DataFrame.head
      • DataFrame.tail
      • DataFrame.sample
      • DataFrame.add
      • DataFrame.sub
      • DataFrame.mul
      • DataFrame.div
      • DataFrame.pow
      • DataFrame.mod
      • DataFrame.mean
      • DataFrame.median
      • DataFrame.min
      • DataFrame.max
      • DataFrame.std
      • DataFrame.var
      • DataFrame.count
      • DataFrame.round
      • DataFrame.cumSum
      • DataFrame.cumMin
      • DataFrame.cumMax
      • DataFrame.cumProd
      • DataFrame.copy
      • DataFrame.describe
      • DataFrame.sum
      • DataFrame.abs
      • DataFrame.query
      • DataFrame.addColumn
      • DataFrame.groupby
      • DataFrame.column
      • DataFrame.fillNa
      • DataFrame.isNa
      • DataFrame.dropNa
      • DataFrame.apply
      • DataFrame.applyMap
      • DataFrame.It
      • DataFrame.gt
      • DataFrame.le
      • DataFrame.ge
      • DataFrame.ne
      • DataFrame.eq
      • DataFrame.replace
    • Configuration Options
    • Plotting
      • Timeseries Plots
      • Violin Plots
      • Box Plots
      • Tables
      • Pie Charts
      • Histograms
      • Scatter Plots
      • Bar Charts
      • Line Charts
      • Customizing your plots
    • Groupby
      • Groupby.getGroups
      • Groupby.col
      • Groupby.max
      • Groupby.min
      • Groupby.sum
      • Groupby.mean
      • Groupby.std
      • Groupby.var
      • Groupby.count
      • Groupby.cumSum
      • Groupby.cumMax
      • Groupby.cumMin
      • Groupby.cumProd
      • Groupby.agg
  • User Guides
    • Migrating to the stable version of Danfo.js
    • Using Danfojs in React
    • Titanic Survival Prediction using Danfo.js and Tensorflow.js
  • Building Data Driven Applications with Danfo.js - Book
  • Contributing Guide
  • Release Notes
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On this page
  • Main Features
  • Getting Started
  • API Reference
  • User Guides/Tutorials
  • Building Data Driven Applications with Danfo.js - Book
  • Contributing Guide
  • Release Notes

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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.

NextGetting Started

Last updated 3 years ago

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Danfo.js is heavily inspired by the library and provides a similar interface and API. This means users familiar with the API can easily use Danfo.js.

Main Features

  • Danfo.js is fast and supports's tensors out of the box. This means you can 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 , , etc. automatically align the data for you in computations

  • Powerful, flexible, 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 and data sets

  • Robust IO tools for loading data from (CSV and delimited), Excel, and JSON data format.

  • Powerful, flexible, and intiutive API for DataFrames and Series interactively.

  • Timeseries-specific functionality: date range generation and date and time properties.

  • Robust data preprocessing functions like , , and scalers like and 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.

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

Pandas
Pandas
Tensorflow.js
convert Danfo.js
Series
DataFrame
groupby
merging
joining
flat-files
plotting
OneHotEncoders
LabelEncoders
StandardScaler
MinMaxScaler
Getting Started
API reference
User Guides
Building Data Driven Applications with Danfo.js - Book
Contributing Guide
Release Notes