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This article mainly shows you "what are the most commonly used visual chemicals used by Python engineers". The content is simple and clear. I hope it can help you solve your doubts. Let me lead you to study and learn this article "what visual chemicals are most commonly used by Python engineers".

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.

Dengguo Visualization focuses on large-screen data visualization applications, and deeply optimizes the production and sharing process of visual large screens. Although on the surface, it is a drag-and-drop editing method, compared with other BI products, it is easier to use Dengguo to make a large screen, and the user experience is better.

The software provides 50 + visualization chart components, supports custom components and custom animation, can meet a variety of visualization needs, and produces a variety of cool visualization screens. Dengguo large screen template Mall provides 100 + visual large screen templates, covering various industries, replacing data with one click to generate a large screen.

The software supports the client software of the Windows/macOS/Linux system, and all operations are carried out at the local terminal, which is more secure than SAAS and does not require separate privatized deployment. At the same time, Dengguo also supports local area network version and OEM version to meet your various needs.

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

2. 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.

3. 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.

4. FusionCharts

FusionCharts supports a series of popular libraries and frameworks such as vanilla JavaScript, jQuery, Angular, etc. With more than 90 charts and more than 1000 maps, it is much more complete than Google Charts and MetricsGraphics. You can see all the chart types it supports here.

Considering the expansibility of the application or website, if you choose a drawing library with incomplete functions, this may become a problem in the future. Companies like Microsoft, Google, and IBM are using FusionCharts, which shows that it is a tool that meets enterprise-level scalability needs.

Suitable for the crowd: developers who need different kinds of easy-to-customize charts.

5. Epoch

Epoch is a d3.js-based development tool that makes it easy for developers to deploy real-time diagrams on their applications or websites. Its documentation is neat, completely free and open source, which makes it a good choice for people who don't want to spend money on heavyweight solutions.

For both ordinary data and real-time data, Epoch supports five chart types. This number does not compete with products with complete features such as FusionCharts or Highcharts, but it specializes in presenting real-time data in a simple and friendly way.

Suitable for the crowd: developers who need simple and flexible real-time data presentation solutions.

The above is all the contents of the article "what are the most commonly used visual chemicals 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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