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Editor to share with you what the visual chemical industry commonly used by Python engineers has, I believe most people do not know much about it, so share this article for your reference, I hope you can learn a lot after reading this article, let's go to know it!

1. Visualization of light fruit data

Dengguo data visualization BI software is a new generation of artificial intelligence data visualization large screen software, built-in rich large screen template, visual editing operation, you can create your own large screen without any experience, and is widely used in commercial, economic, medical and other fields.

The software supports national maps, provincial maps, world maps and 3D earth, special effects such as breathing points, flying lines, histograms, regional color blocks and location marks, map drilldown and chart linkage. Support LAN sharing and network public sharing, support CVM hosting, support software built-in viewing and Web viewing, which can be perfectly embedded in third-party systems. Support custom GeoJSON upload, support third-party 3D model import, support custom components, users can develop deeply customized visualization components and special effects online.

Download address on the official website: http://www.dengguobi.com/?type=download

Suitable for people: developers who pursue fast and beautiful appearance without writing a lot of messy code

2 、 MetricsGraphics

MetricsGraphics is a drawing library specially developed for visualization of time series data on the basis of D3.js. Although it only supports line graphs, scatter charts, histograms, histograms, and data tables, it is very strong on these types of charts. Like Google Charts (MetricsGraphics is a product of Mozilla), rich documentation and examples make it easy to use. For example, this very interesting interactive example of UFO sightings. At the same time, it is also a very simple and lightweight choice.

Suitable for people: developers who pursue fast and beautiful appearance without writing a bunch of messy code.

3 、 Esensoft

Yixin Huachen independently developed a new generation of data visualization products, with the help of a new generation of dynamic 3D engine, let the data "jump on the screen" to interpret the three-dimensional beauty of data; built in nearly 100 kinds of component special effects, the display effect is dazzling and dazzling; you can make cool and smart charts and screens at will to really achieve how far the design can go and how far the data visualization can achieve.

4 、 Google Charts

Google Charts, which is rich in documentation and help, is an excellent choice for people who are new to JavaScript drawing. Its documentation is full of annotated code and step-by-step instructions that can be used to embed HTML5 / SVG icons directly into your web pages.

For the crowd: serious developers who pursue flexibility and good documentation.

5 、 ECharts

Baidu's ECharts is a great tool that supports manipulating data after it has been drawn. This feature, called Drag-Recalculate, allows users to drag parts of the data between charts and get real-time feedback. At the same time, ECharts is designed to draw large amounts of data. It can instantly draw 200000 points on a two-dimensional plane and use ZRender, a lightweight Canvas library developed specifically for ECharts, to move the data. You can work on the above image here to experience the features provided by ECharts.

Suitable for people: developers who want to avoid writing code and have the need for real-time data manipulation.

The above is all the contents of the article "what are the visual chemicals commonly used by Python engineers?" Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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