quiver | Interactive convnet features visualization for Keras | Machine Learning library

I would like to use the interact function to create sliders where the user would input vector coordinates and plot these coordinates. The problem is that changing the input values doesn't make a new graph, would it be possible to make it work?

I'm working with jupyter notebook. My code

I have two arrays (vel_y,vel_z) representing velocities in the y and z directions, respectively, that are both shaped as (512,512) that I am attempting to represent using a quiver plot. Here is how I plotted the quiver:

I am trying to make a cube where all the sides are normal to each of the eigenvectors, as a way to visualize principle stresses given any possible normal and shear stresses in 3d. I've tried using simple rotation matrices and applying them to a list of points but there always seems to be some error and I'm not sure if it is in how I apply the rotation matrices, the angles I give them, or the order I use.

I am plotting two vector fields on top of each other and I want to use the auto-scale feature to set the arrow size such that the two fields are at the same scale automatically. (Part of this notebook.)

If I plot them one after the other, they are drawn at different scales. In this case the black arrows are artificially inflated compared to green.

I just got back to Flutter, and wanted to test the countdown for a simple practice app. I can scroll the countdown second by second but I haven't figured out how to do it with the milliseconds.

the current code:

I'm plotting a few arrows in a quiver plot, and I wonder if there is a way to fill the shape traced between the arrowheads with color. The quiver plots look like this:

I was trying to an example of the book -"Dynamical Systems with Applications using Python" and I was asked to plot the phase portrait of Verhulst equation, then I came across this post: How to plot a phase portrait of Verhulst equation with SciPy (or SymPy) and Matplotlib?

I'm getting the same plot as the user on the previous post. Whenever, I try to use the accepted solution I get a "division by zero" error. Why doesn't the accepted solution in How to plot a phase portrait of Verhulst equation with SciPy (or SymPy) and Matplotlib? works?

Thank you very much for you help!

Edit:

Using the code from the previous post and the correction given by @Lutz Lehmann

First, I have data for velocity components (x and y) at a certain point on a two-dimensional grid. I can visualize each velocity with ff.create_quiver(X, Y, UN, VN) where UN and VN are the directions of each velocity. But I am still confused about how to display or plot the magnitude for each velocity speed together with each "arrow". Code output:

I would like to create a 3D Streamtube Plot with Plotly.

Here is a cross-section of the vector field in the middle of the plot to give you an idea of how it looks like:

The final vector field should have rotational symmetry.

1. Download the data here: https://filebin.net/x6ywfuo6v4851v74
2. Run the code bellow:

Code: