DataFrames.jl

Welcome to the DataFrames documentation! This resource aims to teach you everything you need to know to get up and running with tabular data manipulation using the DataFrames.jl package and the Julia language. If there is something you expect DataFrames to be capable of, but cannot figure out how to do, please reach out with questions in Domains/Data on Discourse. Please report bugs by opening an issue. You can follow the source links throughout the documentation to jump right to the source files on GitHub to make pull requests for improving the documentation and function capabilities. Please review DataFrames contributing guidelines before submitting your first PR! Information on specific versions can be found on the Release page.

Package Manual

• Getting Started
• Installation
• The DataFrame Type
• Working with Data Frames
• Importing and Exporting Data (I/O)
• Loading a Classic Data Set
• Querying DataFrames
• Database-Style Joins
• The Split-Apply-Combine Strategy
• Reshaping and Pivoting Data
• Sorting
• Categorical Data
• Querying frameworks

API

• Types
• Functions
• Grouping, Joining, and Split-Apply-Combine
• Basics

Index

• DataFrames.AbstractDataFrame
• DataFrames.DataFrame
• DataFrames.GroupApplied
• DataFrames.GroupedDataFrame
• DataFrames.SubDataFrame
• Base.filter
• Base.filter!
• Base.join
• Base.similar
• Base.sort
• Base.sort!
• DataFrames.aggregate
• DataFrames.allowmissing!
• DataFrames.by
• DataFrames.colwise
• DataFrames.combine
• DataFrames.completecases
• DataFrames.disallowmissing!
• DataFrames.dropmissing
• DataFrames.dropmissing!
• DataFrames.eachrow
• DataFrames.eltypes
• DataFrames.groupby
• DataFrames.head
• DataFrames.melt
• DataFrames.meltdf
• DataFrames.names!
• DataFrames.nonunique
• DataFrames.permutecols!
• DataFrames.rename
• DataFrames.rename!
• DataFrames.stack
• DataFrames.stackdf
• DataFrames.tail
• DataFrames.unique!
• DataFrames.unstack
• StatsBase.describe