The present work introduces floodlight, an open source Python package built to support and automate team sport data analysis. It is specifically designed for the scientific analysis of spatiotemporal tracking data, event data, and game codes in disciplines such as match and performance analysis, exercise physiology, training science, and collective movement behavior analysis. It is completely provider- and sports-independent and includes a high-level interface suitable for programming beginners. The package includes routines for most aspects of the data analysis process, including dedicated data classes, file parsing functionality, public dataset APIs, pre-processing routines, common data models and several standard analysis algorithms previously used in the literature, as well as basic visualization functionality. The package is intended to make team sport data analysis more accessible to sport scientists, foster collaborations between sport and computer scientists, and strengthen the community's culture of open science and inclusion of previous works in future works.
翻译:目前的工作引入了光辉光,这是为支持和自动化团队体育数据分析而建立的开放源码Python软件包,专门设计用于对时空跟踪数据、事件数据和游戏代码进行科学分析,包括匹配和性能分析、运动生理学、培训科学和集体运动行为分析等学科;完全独立于提供者和体育,包括适合编程初学者的高层次界面;这套软件包括数据分析过程大部分方面的例行程序,包括专用数据课、文件解析功能、公共数据集API、预处理常规、共同数据模型和以前在文献中使用的若干标准分析算法,以及基本可视化功能;该软件包旨在使体育科学家更易于了解小组的体育数据分析,促进体育科学家和计算机科学家之间的合作,加强社区开放科学文化和将先前的工作纳入未来工作的文化。