In recent years, researchers at home and abroad have accumulated a lot of experience in the research of data visualization technology, and they have played animportant role in scientific discovery, medical diagnosis, business decision-making, and engineering applications. As a library developed using Python language, Matplotlib has a concise language, high drawing accuracy, and simple and easy-to-understand code. This article first introduces data visualization and related technologies used and then uses Python’s Matplotlib library and pyecharts library to realize data visualization. Through representative examples, combined with the use of correct charts, visual processing of data in different fields, so as to further analyze the effect of visualization.

Abstract-After thirty years, Extenics made great progress in innovation theory, formal method and real application. Through the formalized research for its logical cell basicelement, the information-knowledge-strategy formalized system, extension analysis methods, extension transformation methods and superiority evaluation methods are set up. We introduce Extenics theory to describe, analyze and evaluate self-adaptive nature, scope and extent about the intelligent service component. First, software entities are defined by basic-element, the intelligent service component is structured into basic-element net, which is analyzed, transformed and evaluated by method of combining qualitative with quantitative. Final, intelligent service component formal model is established.