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English(EN) PandasCorpus: A Resource of Real-World Pandas Workflows and Usage Patterns

新数据集捕获了来自 139k 个笔记本的真实世界 Pandas 工作流

研究人员推出 PandasCorpus,一个旨在系统研究真实世界 Pandas 工作流和使用模式的新数据集。该数据集从 GitHub 存储库中提取,包含 139,000 个 Jupyter 笔记本,捕获了超过 400 万次 Pandas API 调用。该研究分析了代码可执行性、笔记本大小以及常见的 Pandas 操作序列,提供了关于该库在实践中如何使用的经验性见解。PandasCorpus 旨在成为一个可重用的资源库,用于研究数据分析工作流和面向库的代码组合。 AI

影响 提供了一个用于研究数据分析工作流和面向库的代码组合的资源库。

排序理由 该集群包含一篇描述新数据集的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新数据集捕获了来自 139k 个笔记本的真实世界 Pandas 工作流

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该集群包含一篇描述新数据集的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Syrym Abdikhan, Mazhar Hameed ·

    PandasCorpus: 真实世界 Pandas 工作流和使用模式的资源库

    arXiv:2608.14742v1 Announce Type: cross Abstract: Pandas has emerged as the de facto library for data processing and machine learning, widely used for tasks, such as data loading, transformation, and analysis. Despite its ubiquity, there has been limited systematic investigation …