hull | Concave or convex hull around a list of points | 3D Animation library

So I tried the methods that were mentioned in the previously asked similar question but none of them works for my python file. I have been on it for two days and can't seem to find a solution how to run this file from C# form on button click.

IronPython doesn't work because the python script has libraries that cannot be imported in Ironpython.

Running it from cmd doesn't work because cmd starts and then gets closed in a second.

Here's the code:

I pasted the data here: The dataframe contains multiple observations on x and y per country. Each country is also part of a region.

Based on this post, I managed to draw ploygons/clusters in the scatterplot using ggplot based on the same factor as the colors of my points are based on (i.e., country). Here's the code I used:

First I have ploted a convex hull for given points using convexHull Matlab function:

I'm trying to create a matrix based on 3 different lists read from an input file. I need a matrix of 3 columns: Col_2 representing the x coordinates first, then Col_3 for the y and Col_4 for the z in third position.

The goal is to enter this matrix into the ConvexHulll function and get a number that I will then append in another array.

right now I'm using this code but the output file is not created and I supposed it was because of the faulty Matrix. (this code is called in the script of an ACT extension)

Thanks in advance for your help! I didn't manage to import my input file but it looks like this (33563 lines)

Dear Stackoverflow team, I'm impressed that after a bunch of hours digging the forum I still can't find any question/answer similar to my problem :

I have a GeoJson with a lot of Points features. I collect all Points (green in my example, see figure below) that follow some specification (distance between each of them)

Initial Data:

and I want to link all of them to build a Polygon (which represent an area).

What I'm looking for :

Or Solution accepted :

So I collect all coordinates from these Points, and to be sure the Polygon follows the GeoJson requirements, I'm using the "rewind" function

My goal is to draw the text bounding boxes for the following image. Since the two regions are colored differently, so this should be easy. I just need to select the pixels that match a certain color values to filter out the other text region and run a convex hull detection.

However, when I zoom in the image, I notice that the text regions has the zig-zag effect on the edges, so I'm not able to easily find the two color values (for the blue and green) from the above image.

I wonder is there a way to remove the zig-zag effect to make sure each phrase is colored consistently? Or is there a way to determine the dominant color for each text region?

I have been asking several questions for locating and extracting maze from photos on SOF, but none of the answers I get work across different photos, not even across 4 testing photos. Every time when I tweaked the code to make it work for 1 photo, it will fail on the rest of photos due to warped corners/parts or light etc. I feel that I need to find a way which is insensitive to warped image and different intensity of light or the different colors of maze walls(the lines inside a maze).

I have been trying to make it work for 3 weeks without a luck. Before I drop the idea, I would like to ask is it possible to just use Image Processing without AI to locate and extract a maze from a photo? If yes, could you please show me how to do it?

Here are the code and photos:

I'm trying to build species distribution polygons for use in the R program rase. The program requires an owin object but sample data also includes a SpatialPolygonDataFrame. You can get the data yourself with: data(rase_data, package = 'rase')

I'm starting with a list of coordinates (lat/long per species). Thanks to this answer here, I've been able to make a polygon per element of the list (each species). I need to get to an owin object. Here's the dput of some test data and then code I've used to get where I'm at.

I am attempting to determine the OAS of of a callable bond in QuantLib. However, my results are always negative!?

I am wondering if there is some issue in the call schedule, as the bond yield returned from pricing the bond under the Hull White model seems to be reasonable.

Consider the following bond contract: