Abstract：
The present work deals with the analysis and monitoring of bacterial resistance in using Python for the state of Gujarat, India, where occurrences of drug-resistant bacteria are prevalent. This will provide an insight into the portfolio of drug-resistant bacteria reported, which can be used to track resistance behavior and to suggest a treatment regime for the particular bacteria. The present analysis has been done using Python on Jupyter Notebook as the integrated development environment and its data analysis libraries such as Pandas, Seaborn, and Matplotlib. The data have been loaded from excel file using Pandas and cleaned to transform features into required format. Seaborn and Matplotlib have been used to create data visualizations and represent the data inexplicable manner using graphs, plots, and tables. This program can be used to study disaster epidemiology, tracking, analyzing, and surveillance of antimicrobial resistance with a proper system integration approach.
摘要：
本工作涉及使用Python对古吉拉特邦的状态进行细菌耐药性的分析和监测，印度,耐药细菌普遍存在的地方。这将提供对报告的耐药细菌组合的见解，可用于追踪抵抗行为并建议特定细菌的治疗方案。本分析是在JupyterNotebook上使用Python作为集成开发环境及其数据分析库，如Pandas，Seaborn,和Matplotlib。数据已使用Pandas从Excel文件加载并清理以将功能转换为所需格式。Seaborn和Matplotlib已用于创建数据可视化，并使用图形表示数据莫名其妙的方式，地块,和桌子。该程序可用于研究灾难流行病学，跟踪,分析,并使用适当的系统集成方法监测抗菌素耐药性。
