isosurface | Isosurface extraction using Marching Cubes and pure WebGL | Graphics library

I have a website where I document a list of installed pythonic libraries.

For each library, I want to have available:

• The name of the library (obviously)
• A link to the documentation for the library (because documentation is useful)
• A brief description of the library (so people can quickly see what the library does)
• The currently installed version (to stop people asking me "Are you using version x.y?")

My current solution is to use the name as the text of a link, href'd to its documentation, and accept that the version & description are supplementary information, and can be made available to the user using a tool-tip - so they can sit in a title attribute

Example:

Anyone can suggest the equivalent function of MATLAB's "isosurface" function in python/numpy. The MATLAB isosurface returns the faces and vertices. I need the faces and vertices to create .stl files. MATLAB isosurface function looks like this:

I have this below which is working but I want to plot the moving average also inside the candlestick chart at col=1 and row=1

I want to create a nice graph in python, so I used plotly to create a graph, but I get an error.

Maybe because I'm new to plotly, I don't understand the error in this code.
The only thing I can tell is that my code is wrong.
I want to display multiple graphs in plotly.

My goal is to display a line graph and an average line on the same plot. This is for a Django project that displays a list of scores from a database. This database is pretty big (over 100k). The app shows an average line for each page (page only containing 20 results). I had this working using Scatter objects instead of Figure objects.

I am trying to define a function in 3D cylindrical coorindates in Matlab, and then to convert it to 3D cartesian for plotting purposes.

For example, if my function depends only on the radial coordinate r (let's say linearly for simplicity), I can plot a 3D isosurface at the value f = 70 like the following:

I'd like to plot a convergence process of the MLE algorithm with the plotly library.

Requirements:

• the points have to be colored colored in the colors of the clusters, and change accordingly each iteration
• the centroids of the clusters should be plotted on each iteration.

A plot of a single iteration may be produced by Code 1, with the desired output shown in Figure 1:

Code 1

I am attempting to combine a 3D surface plot as shown here and a 3D isosurface plot as shown here in Plotly.

I do not wish to combine them through subplots. The goal is to be able to plot topography with a surface plot and another variable through an isosurface plot, but have them on the same figure.

Is there any way to do this with Plotly?

I am trying to plot a 3-subplot PlotLy graph. From top to bottom: Candlesticks, normal line graph, normal line graph.

Here is my code: