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In the following code, I have working zoom and dragging of the canvas. Also - when click on canvas I can add blue circles. I can also move blue circles around - but the problem is that circle center is moved to the mouse pointer position, not taking into account offset from mouse pointer to center of the circle. How can I include this offset in calculation that would work even when the canvas is scaled/repositioned?

I am writing a method that returns cosine similarity between two documents. Using sklearn CountVectorizer() I have tried

I'm attempting to merge multiple sets of word data. Each csv file that is read in (there is 4 files) contains a column for each unique word in a book, and a column for how many times that word shows up. Whats supposed to happen is the word columns of all of these csv files are supposed to merge into one in this new matrix file I'm trying to create, but when I attempt to merge each csv file and its data, an empty data frame is returned.

The csv files are like:

I'm trying to use the Autodesk Forge APIs to automate the placement of a model into an assembly and end up getting a very vague error message:

I created a two methods one synchronous and one with multiple threads because I wanted to compare performance synchronous and parallel method. But I am having a one issue every time when I want to use my data in threads I have to copy them first even if I know that they want to be dropped till the end of this method. If I do not copy this data before using in threads then I am getting an error that I have to make my data 'static:

I want to turn my array which consists out of 2 lists into a ranked list. Currently my code produces :

So I have a simple matrix class, and when I log it to the console everything is fine, but the problem occurs when the program terminates.

I haven't allocated any heap memory, it's just a simple template class that can log a matrix to the console. (I plan on adding addition, subtraction, and multiplication though.)

I've set up a Github workflow for my CI needs, and it seems to somehow reset values assigned to matrix variables to an empty string whenever I do a comparison using matrix values e.g

I am having a hard time understanding how to use NetworkX's rescale_layout.

The documentation says: pos (numpy array) – positions to be scaled. Each row is a position which is not the standard "position dictionary" that the rest of NetworkX uses for plotting. I have tried to use NetworkX's to_numpy_array on the "pos dict" to no success, and the output of to_numpy_array is a Graph adjacency matrix which doesn't mesh with the requirement of rescale_layout's Each position is one row of the array anyway.

The reason why I am asking is because I have a Network which is generated from some data, which is then moved around by spring_layout, but some of the positions don't generate in a 'nice' manner, so I have implemented a method to manually adjust those positions, which would be easier to do if the network was guaranteed to have positions that always lied within some predefined boundary (e.g. [-10, 10] in the plot). I then need to write the node labels just above the node.

Bonus question: I want to write the label at position (x,y+r) where r is the radius of the drawn node. I have a hacked together way of doing so by taking the square root of the input node size and dividing it by an arbitrary factor. However, I have no idea how the drawn node size is actually determined and each individual graph I make seems to have a different internal scale for each graph, while the drawn node sizes appear to remain the same.

I have trawled through a significant amount of documentation to try to understand the underlying methods, but each layer I peel back only adds more confusion.