Research on Python Data Visualization Technology

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 usin...

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Vydáno v:Journal of physics. Conference series Ročník 1757; číslo 1; s. 12122 - 12128
Hlavní autoři: Cao, Shengjia, Zeng, Yunhan, Yang, Shangru, Cao, Songlin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bristol IOP Publishing 01.01.2021
Témata:
Data visualization
Decision making
Libraries
matplotlib
Physics
Programming languages
pyecharts
Python
Scientific visualization
Visualization
ISSN:1742-6588, 1742-6596
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Abstract 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.
AbstractList 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.
Author Cao, Songlin
Cao, Shengjia
Yang, Shangru
Zeng, Yunhan
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SubjectTerms Data visualization
Decision making
Libraries
matplotlib
Physics
Programming languages
pyecharts
Python
Scientific visualization
Visualization
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