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
- Database-Style Joins
- The Split-Apply-Combine Strategy
- Reshaping and Pivoting Data
- Sorting
- Categorical Data
- Missing Data
- Data manipulation frameworks
API
Index
DataFrames.AbstractDataFrame
DataFrames.DataFrame
DataFrames.DataFrameColumns
DataFrames.DataFrameRow
DataFrames.DataFrameRows
DataFrames.GroupedDataFrame
DataFrames.RepeatedVector
DataFrames.StackedVector
DataFrames.SubDataFrame
Base.append!
Base.filter
Base.filter!
Base.join
Base.map
Base.repeat
Base.show
Base.sort
Base.sort!
Base.unique!
Base.vcat
DataFrames.aggregate
DataFrames.allowmissing!
DataFrames.by
DataFrames.colwise
DataFrames.combine
DataFrames.completecases
DataFrames.deletecols!
DataFrames.deleterows!
DataFrames.disallowmissing!
DataFrames.dropmissing
DataFrames.dropmissing!
DataFrames.eachcol
DataFrames.eachrow
DataFrames.eltypes
DataFrames.groupby
DataFrames.groupindices
DataFrames.groupvars
DataFrames.insertcols!
DataFrames.mapcols
DataFrames.melt
DataFrames.meltdf
DataFrames.names!
DataFrames.nonunique
DataFrames.permutecols!
DataFrames.rename
DataFrames.rename!
DataFrames.stack
DataFrames.stackdf
DataFrames.unstack
StatsBase.describe