Learn how to use Python, R, or JavaScript to create 3D graphics for data visualization. Discover the best tools, tips, and tricks for your project and portfolio.

A Python script that uses matplotlib and numpy to create a 3D contour. The script demonstrates how to create and visualize mathematical functions in three dimensions. It includes the following ...

Example extension for 3D Slicer that demonstrates how to make a Python script available as a CLI module. Let's assume you have a BlurImage.py Python script that you can run from the command line as ...

Matplotlib integrates seamlessly with other Python data science libraries like NumPy, scikit-learn, and pandas. Features: Supports 2D plotting, including line charts, scatter plots, bar charts, ...

Mayavi is a cross-platform library and application for 2D and 3D plotting and interactive visualization of scientific data using Python. It leverages the power of Visualization Toolkit (VTK) without ...