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Pandas在模拟训练器材统计中的应用

The Application of Pandas in Simulating Training Equipment Statistics
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摘要 在模拟训练器材清查时,为了提高统计人员的工作效率,帮助管理者快速准确地掌握资产信息和制定有针对性的处置策略,本文探讨利用Pandas库实现对模拟训练器材数据的综合处理。从数据导入、数据清洗以及可视化等方面探讨如何应用这些技术。实际案例的运行结果表明,Pandas可使统计分析任务变得更加简单和高效,不仅有助于单位掌握模拟训练器材数据,还可为制订模拟训练器材处置方案和优化资源配置提供信息。 In order to improve the efficiency of statistical personnel,assist managers in quickly and accurately grasping asset information,and formulate targeted disposal strategies during the inventory of simulated training equipment,this article explores the use of the Pandas library to achieve comprehensive processing of simulated training equipment data.Explore how to apply these technologies from the perspectives of data import,data cleaning,and visualization.The operational results of actual cases indicate that Pandas can make statistical analysis tasks simpler and more efficient.It not only helps units master simulated training equipment data,but also provides information for formulating simulated training equipment disposal plans and optimizing resource allocation.
作者 龙宇 张童童 LONG Yu;ZHANG Tongtong(Air Force Early Warning Academy,Wuhan,China,430019;State Grid Yan'an Power Supply Company,Yan'an,China,716000)
出处 《福建电脑》 2024年第3期60-64,共5页 Journal of Fujian Computer
关键词 数据统计 数据清洗 固定资产 可视化 Data Statistics Data Cleaning Fixed Assets Visualization
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