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Last Commit
Oct. 20, 2018
Dec. 2, 2017

An Introduction to DataFrames

Bogumił Kamiński, October 4, 2018

The tutorial works with Julia 1.0.1. A major change is moving from JLD to JLD2 package.

A brief introduction to basic usage of DataFrames. Tested under Julia 1.0.1, CSV 0.4.1, CSVFiles 0.9.1, CategoricalArrays 0.4.0, DataFrames 0.14.1, DataFramesMeta 0.4.0, FileIO 1.0.1, FreqTables 0.3.0, JLD2 0.1.2, StatPlots 0.8.1. Also package BenchmarkTools 0.4.1 is used as a utility.

I will try to keep the material up to date as the packages evolve.

This tutorial covers DataFrames, CSV, CSVFiles, JLD2, and CategoricalArrays, as they constitute the core of DataFrames.

In the last extras part mentions selected functionalities of selected useful packages that I find useful for data manipulation, currently those are: FreqTables, DataFramesMeta, StatPlots.


File Topic
01_constructors.ipynb Creating DataFrame and conversion
02_basicinfo.ipynb Getting summary information
03_missingvalues.ipynb Handling missing values
04_loadsave.ipynb Loading and saving DataFrames
05_columns.ipynb Working with columns of DataFrame
06_rows.ipynb Working with row of DataFrame
07_factors.ipynb Working with categorical data
08_joins.ipynb Joining DataFrames
09_reshaping.ipynb Reshaping DataFrames
10_transforms.ipynb Transforming DataFrames
11_performance.ipynb Performance tips
12_pitfalls.ipynb Possible pitfalls
13_extras.ipynb Additional interesting packages


Date Changes
2017-12-05 Initial release
2017-12-06 Added description of insert!, merge!, empty!, categorical!, delete!, DataFrames.index
2017-12-09 Added performance tips
2017-12-10 Added pitfalls
2017-12-18 Added additional worthwhile packages: FreqTables and DataFramesMeta
2017-12-29 Added description of filter and filter!
2017-12-31 Added description of conversion to Matrix
2018-04-06 Added example of extracting a row from a DataFrame
2018-04-21 Major update of whole tutorial
2018-05-01 Added byrow! example
2018-05-13 Added StatPlots package to extras
2018-05-23 Improved comments in sections 1 do 5 by Jane Herriman
2018-07-25 Update to 0.11.7 release
2018-08-25 Update to Julia 1.0 release: sections 1 to 10
2018-08-29 Update to Julia 1.0 release: sections 11, 12 and 13
2018-09-05 Update to Julia 1.0 release: FreqTables section
2018-09-10 Added CSVFiles section to chapter on load/save
2018-09-26 Updated to DataFrames 0.14.0
2018-10-04 Updated to DataFrames 0.14.1, added haskey and repeat

Core functions summary

  1. Constructors: DataFrame
  2. Getting summary: size, nrow, ncol, length, describe, names, eltypes, head, tail
  3. Handling missing: missing (singleton instance of Missing), ismissing, Missings.T, skipmissing, coalesce, allowmissing, disallowmissing, allowmissing!, completecases, dropmissing, dropmissing!, disallowmissing, disallowmissing!
  4. Loading and saving: CSV (package), CSVFiles (package), JLD2 (package),, CSV.write, save, @save (from JLD2), load, @load (from JLD2)
  5. Working with columns: rename, rename!, names!, hcat, insert!, DataFrames.hcat!, merge!, delete!, empty!, categorical!, DataFrames.index, permutedims!, haskey
  6. Working with rows: sort!, sort, issorted, append!, vcat, push!, view, filter, filter!, deleterows!, unique, nonunique, unique!, repeat
  7. Working with categorical: categorical, cut, isordered, ordered!, levels, unique, levels!, droplevels!, get, recode, recode!
  8. Joining: join
  9. Reshaping: stack, melt, stackdf, meltdf, unstack
  10. Transforming: groupby, vcat, by, aggregate, eachcol, eachrow, colwise
  11. Extras:
    • FreqTables: freqtable, prop
    • DataFramesMeta: @with, @where, @select, @transform, @orderby, @linq, by, based_on, byrow!
    • StatPlots: @df, plot, density, histogram,boxplot, violin

Changes in DataFrames master since last update of the tutorial

  • Changes to how getindex works
  • explain view and DataFrameRow better

Latest Releases
Last release supporting Julia 0.6.4
 Aug. 12 2018
 Jul. 25 2018
Tutorial version for DataFrames 0.11.6
 Jun. 1 2018