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DataFrames.jl: Flexible and Fast Tabular Data in Julia

delete2023-01-01
delete9
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OA
AI
M
Milan Bouchet-Valat *
B
Bogumi Kamiński
DOI:10.18637/jss.v107.i04delete
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摘要

摘要

En 中文
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.
Keyword:
data frame
tabular data
performance
multi-threading
Julia

期刊

Journal of Statistical Software 封面图
Journal of Statistical Software
IF:
8.1
论文数:
622
被引数:
4.6W

机构

W
Warsaw School of Economics
学者数:
470
论文数: 488
被引数: 0
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