Oct 16, 2020 · A simple way to visualize your 4D function, call it W(x, y, z), could be producing a gif of the cross-section contour plots along the z-axis. Package plot4d could help you do it. An example plotting an isotropic 4D function:

May 8, 2021 · Now we are able to natively plot surface and contour to highlight your data: fig, axe = plt.subplots(subplot_kw={"projection": "3d"}) axe.plot_surface(Xlin, Ylin, Zlin, cmap="gray", alpha=0.75) axe.contour(Xlin, Ylin, Clin, cmap="jet") axe.set_zlim([-400, 400])

How could I edit my code to plot 4D contour something similar to this example in python?

The height values over which the contour is drawn. Color-mapping is controlled by cmap, norm, vmin, and vmax. levels int or array-like, optional. Determines the number and positions of the contour lines / regions.

Apr 12, 2025 · In Python, creating contour maps is made relatively straightforward through libraries like `matplotlib` and `numpy`. This blog post aims to provide a detailed overview of Python contour maps, from the basic concepts to advanced usage and best practices.

Jun 22, 2020 · Contour plots are widely used to visualize density, altitudes, or heights of the mountain as well as in the meteorological department. Due to such wide usage matplotlib.pyplot provides a method contour to make it easy for us to draw contour plots.

Dec 31, 2024 · To m ake a 4D plot using Matplotlib, you can use the mplot3d toolkit that comes with Matplotlib. This toolkit allows you to create three-dimensional plots, but you can also use it to plot four-dimensional data by adding a color dimension.

Dec 8, 2022 · plotter.plot4d_CS for plotting a single cross-section for an arbitrary 4D function; plotter.plot4d for generating an animation of cross-section plots for an arbitrary 4D function; Inputs and returns are well documented in the docstrings. Quick Start. Basic use examples can be found here: basic tour notebook. Notes

Aug 11, 2018 · I would like to 4D plot over the cube (x,y,z) vs. q, using the colormap on the 3 surfaces of the cubes, where the color and contour are determined depending on the q variable. Basically, I am looking for a similar image like this:

Building contour plots with Matplotlib entails using the ax.contour() method. The basic ax.contour() method call is below. Where X and Y are 2D arrays of the x and y points, and Z is a 2D array of points that determines the "height" of the contour, which is represented by color in a 2D plot.