Context: I have the x,y and x,z projection of an image. I want the two images to be stacked vertically sharing the same width.

I have 2 set of points, where every point in first set have z=0 and in secound set have z=2460.
I need to connect every point from the first set to every point from the second set. Moreover, it needs to color the lines depending on the two-dimensional matrix.

I need to plot the average of different trails of my sampled data y. The difficult part is that the corresponding sample points x do not coincide. However, x can only range from 0 to 1.

I’m trying to import Matplotlib but I keep getting import error with the following message
“If you are a user of the module, the easiest solution will be to
downgrade to ‘numpy<2’ or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.”

I apologize if this is a repeated question, however I cannot find any posts with exactly what I need so I felt it was appropriate to ask. I am currently analyzing molecular dynamics data, and would like to bin the supercell I am using in NxNxN parts. The cell shape is triclinic, or in other words it is a parallelepiped where the 3 main side lengths and 3 main angles are all different. Following this post here, I was able to figure out how to construct an image of my original cell. However, I am struggling to properly subdivide the original cell. My main issue actually is that there are small translations of the subcells that cause them to be misaligned from each other as well as misaligned relative to themselves

I’m testing a python 3.7-32 installation using pip to install numpy. During the clean install of python in an empty directory using

I have been pulling my hair for way too long on this…