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https://github.com/JuliaData/DataFrames.jl
In-memory tabular data in Julia
https://github.com/JuliaData/DataFrames.jl
data data-frame dataframes datasets hacktoberfest julia tabular-data
Last synced: 1 day ago
JSON representation
In-memory tabular data in Julia
- Host: GitHub
- URL: https://github.com/JuliaData/DataFrames.jl
- Owner: JuliaData
- License: other
- Created: 2012-07-11T18:00:09.000Z (over 12 years ago)
- Default Branch: main
- Last Pushed: 2024-09-23T21:41:51.000Z (about 2 months ago)
- Last Synced: 2024-10-29T14:57:01.225Z (10 days ago)
- Topics: data, data-frame, dataframes, datasets, hacktoberfest, julia, tabular-data
- Language: Julia
- Homepage: https://dataframes.juliadata.org/stable/
- Size: 28.5 MB
- Stars: 1,736
- Watchers: 43
- Forks: 367
- Open Issues: 148
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Citation: CITATION.bib
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README
DataFrames.jl
=============[![codecov](https://codecov.io/gh/JuliaData/DataFrames.jl/graph/badge.svg?token=DHYzeKcumV)](https://codecov.io/gh/JuliaData/DataFrames.jl)
[![CI Testing](https://github.com/JuliaData/DataFrames.jl/workflows/CI/badge.svg)](https://github.com/JuliaData/DataFrames.jl/actions?query=workflow%3ACI+branch%3Amain)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7632427.svg)](https://doi.org/10.5281/zenodo.7632427)Tools for working with tabular data in Julia.
**Installation**: at the Julia REPL, `using Pkg; Pkg.add("DataFrames")`
**Documentation**: [![][docs-stable-img]][docs-stable-url] [![][docs-latest-img]][docs-latest-url]
**Reporting Issues and Contributing**: See [CONTRIBUTING.md](CONTRIBUTING.md)
[![ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://img.shields.io/badge/ColPrac-Contributor's%20Guide-blueviolet)](https://github.com/SciML/ColPrac)
**Maintenance**: DataFrames is maintained collectively by the [JuliaData collaborators](https://github.com/orgs/JuliaData/people).
Responsiveness to pull requests and issues can vary, depending on the availability of key collaborators.**Learning**: New to DataFrames.jl? Check out our
[free Julia Academy course](https://juliaacademy.com/p/introduction-to-dataframes-jl)
which will walk you through how to use DataFrames.jl.
You can also check out
[Bogumił Kamiński's DataFrames.jl tutorial](https://github.com/bkamins/Julia-DataFrames-Tutorial)
that is available on GitHub.[docs-latest-img]: https://img.shields.io/badge/docs-latest-blue.svg
[docs-latest-url]: http://dataframes.juliadata.org/latest/[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg
[docs-stable-url]: http://dataframes.juliadata.org/stable/**Citing**: We encourage you to cite our work if you have used DataFrames.jl package.
Starring the DataFrames.jl repository on GitHub is also appreciated.The citation information may be found in the [CITATION.bib](CITATION.bib) file within the repository:
> Bouchet-Valat, M., & Kamiński, B. (2023). DataFrames.jl: Flexible and Fast Tabular Data in Julia. Journal of Statistical Software, 107(4), 1–32. https://doi.org/10.18637/jss.v107.i04