DataFrames。灵活和快速的表格数据在Julia

IF 5.4 2区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Software Pub Date : 2023-01-01 DOI:10.18637/jss.v107.i04

Milan Bouchet-Valat, Bogumi Kamiński

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引用次数: 2

摘要

DataFrames。jl是一个用Julia语言编写的包，它提供了对内存中的表格数据集的灵活高效的处理。由于Julia的独特优势，它提供了一组吸引人的特性:对标准数据处理任务的丰富支持，以及对更高级和非标准操作的出色灵活性和效率。我们介绍了这个包的基本设计，以及它与其他语言中的数据帧实现的比较，它的主要特性、性能和可能的扩展。最后，我们给出了典型数据处理操作的实际示例。

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DataFrames.jl: Flexible and Fast Tabular Data in Julia

DataFrames.jl is a package written for and in the Julia language offering flexible and efficient handling of tabular data sets in memory. Thanks to Julia's unique strengths, it provides an appealing set of features: Rich support for standard data processing tasks and excellent flexibility and efficiency for more advanced and non-standard operations. We present the fundamental design of the package and how it compares with implementations of data frames in other languages, its main features, performance, and possible extensions. We conclude with a practical illustration of typical data processing operations.

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来源期刊

Journal of Statistical Software 工程技术-计算机：跨学科应用

CiteScore

10.70

自引率

1.70%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.