tableone: An open source Python package for producing summary statistics for research papers

Objectives: In quantitative research, understanding basic parameters of the study population is key for interpretation of the results. As a result, it is typical for the first table (“Table 1”) of a research paper to include summary statistics for the study data. Our objectives are 2-fold. First, we seek to provide a simple, reproducible method for providing summary statistics for research papers in the Python programming language. Second, we seek to use the package to improve the quality of summary statistics reported in research papers. Materials and Methods: The tableone package is developed following good practice guidelines for scientific computing and all code is made available under a permissive MIT License. A testing framework runs on a continuous integration server, helping to maintain code stability. Issues are tracked openly and public contributions are encouraged. Results: The tableone software package automatically compiles summary statistics into publishable formats ...研究目标：在定量研究中，掌握研究人群的基础参数是解读研究结果的核心关键。因此，学术论文的首张表格（"表1"）通常会纳入研究数据的汇总统计量。本研究兼具双重目标：其一，旨在基于Python编程语言，开发一套简便且可复现的研究论文汇总统计量生成方法；其二，借助该工具包提升学术论文中汇报的汇总统计量质量。 材料与方法：tableone工具包遵循科学计算的规范准则开发，所有代码均采用宽松的MIT许可证（MIT License）开源。本项目通过持续集成服务器运行测试框架，以保障代码稳定性；同时公开追踪问题反馈，并鼓励公众参与贡献代码。 研究结果：tableone软件工具包可自动将汇总统计量整理为可直接用于发表的格式……