This allows users to perform quick 3D visualization while being able to use Mayavi’s powerful features. As a rough guide:The architecture and underlying technology for each library determine the data sizes supported, and thus whether the library is appropriate for large images, movies, multidimensional arrays, long time series, meshes, or other sizeable datasets:Because of the wide range in data size (and thus to some extent data type) supported by these types of libraries, users needing to work with large sizes will need to choose appropriate libraries at the outset.The various libraries differ dramatically in the ways that plots can be used.Users thus need to consider whether a given library will cover the range of uses they expect for their visualizations.The various InfoVis libraries offer a huge range of programming interfaces suitable for very different types of users and different ways of creating visualizations. To set the stage, I showed Jake VanderPlas's overview of how the many different visualization libraries in Python currently relate to each other:Here, you can see several main groups of libraries, each with a different origin, history, and focus. You want to use an interactive application to visualize your data in 3D? Sources of inspiration may be found in the Example gallery, with example Python code. How is mplot3d different from MayaVi?¶ MayaVi2 is a very powerful and featureful 3D graphing library. A variety of tools have built on Matplotlib's 2D-plotting capability over the years, either using it as a rendering engine for a certain type of data or in a certain domain (Once HTML5 allowed rich interactivity in browsers, many libraries arose to provide interactive 2D plots for web pages and in Jupyter notebooks, either using custom JS (As JavaScript libraries like D3 have matured, their functionality has been captured in declarative JSON specifications (Just as HTML5 did for 2D JavaScript plotting, the WebGL standard made 3D interactivity in the browser and Jupyter feasible, leading to 3D in-browser plotting built on three.js (Many other libraries, even beyond those listed in Jake's diagram, provide other complementary functionality (e.g.The above breakdown by history and technology helps explain how we got to the current profusion of Python viz packages, but it also helps explain why there are such major differences in user-level functionality between the various packages. It does not seem possible to add However, there is a "kind of a way" by using the the This is not necessarily the nicest possible way of doing things, and you may bump into resolution problems, as well (check the size of the Adding to the answer by DrV which helped me a great deal, you can work with the mlab figure to set resolution before screenshot such as with batch plotting:Thanks for contributing an answer to Stack Overflow! Differences between approaches remain important and have far-reaching implications, meaning that users need to take these differences into consideration before investing deeply into any particular approach. AFAIK, there is no direct way because the backends used are so different. 2020 Anaconda State of Data Science Report: Moving from hype toward maturityThis website uses cookies to ensure you get the best experience on our website. But as we saw at Featured on Meta Where developers & technologists share private knowledge with coworkersProgramming & related technical career opportunitiesDo you know ways of improving the screenshot resolution? Getting started.
matplotlib can also do simple 3D plotting, but Mayavi relies on a more powerful engine ( VTK) and is more suited to displaying large or complex data.
Read the Mayavi application section. It does not seem possible to add matplotlib axes to mayavi.figure or vice versa.. By clicking “Post Your Answer”, you agree to our To subscribe to this RSS feed, copy and paste this URL into your RSS reader.