The most popular 3D visualization library is matplotlib. There are other libraries like
Vedo (or V3do) is a Python library for scientific analysis and visualization of 3D objects. It can be used for the plotting of 1d, 2d, and 3d data, point clouds, meshes, as well as volumetric visualization.
We can create 3D plots in Python thanks to the mplot3d toolkit in the matplotlib library. Matplotlib was introduced with only 2D plots in mind. However, as of the 1.0 release, 3D utilities were developed on top of 2D, so 3D implementations of data are available today.
The most popular 3D visualization library is matplotlib. There are other libraries like Plotly, Mayavi, Pyvista, PyopenGL, and so on. The main difference between matplotlib and the other libraries is that matplotlib generates static 3D visualization, but with other libraries, we can interact with the visual object.
Three-dimensional plots are enabled by importing the mplot3d toolkit, included with the Matplotlib package. A three-dimensional axes can be created by passing the keyword projection='3d' to any of the normal axes creation routines. We can now plot a variety of three-dimensional plot types.
Matplotlib's mplot3d toolkit offers a variety of 3D charts to enhance the accuracy and interactivity of data visualization. Here we will discuss the Syntax, Parameters, and Examples of Line plots, Parametric plots, Scatter plots, Surface plots, and Wireframe plots.
In short, the combination of Python and OpenSCAD provides a very powerful and flexible system for creating 3D models in ways neither programming language alone can provide.
Importing the NumPy package enables us to use the array function in Python. To create a three-dimensional array in Python, we pass an object representing x by y by z, where x represents the nested lists, y represents the nested lists inside the x nested lists, and z represents the values inside each y nested list.
The ax. contour3D() function creates three-dimensional contour plot. It requires all the input data to be in the form of two-dimensional regular grids, with the Z-data evaluated at each point.
pi3d is a Python module that aims to greatly simplify writing 3D in Python whilst giving access to the power of the Raspberry Pi GPU. It enables both 3D and 2D rendering and aims to provide a host of exciting commands to load in textured/animated models, create fractal landscapes, shaders and much more.
turtle is a pre-installed Python library that enables users to create pictures and shapes by providing them with a virtual canvas. The onscreen pen that you use for drawing is called the turtle and this is what gives the library its name.
Python in Blender
This interpreter runs scripts to draw the user interface and is used for some of Blender's internal tools as well. Blender's embedded interpreter provides a typical Python environment, so code from tutorials on how to write Python scripts can also be run with Blender's interpreter.
1. Autodesk Maya. When you ask any professional 3D modeler in the industry which program they use the most, Autodesk Maya is the most common answer, and for good reason. Most of the leading animation studios use it (Pixar included) due in part to the massive array of powerful tools offered within the package.
pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.
Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.