I am able to compute the default rate in number (e.g, the percentage of customers falled into default), with the code below, getting the following output: impor
Given a 3D numpy array of shape (256, 256, 256), how would I make a solid sphere shape inside? The code below generates a series of increasing and decreasing ci
What is the Pythonic way to get a list of diagonal elements in a matrix passing through entry (i,j)? For e.g., given a matrix like: [1 2 3 4 5] [6 7 8
Premise・What I want to achieve I'm going to use Python to read the GML file. Error Message Traceback (most recent call last): File "firstgml.py", line
I have a Pandas dataframe sorted by a datetime column. Several rows will have the same datetime, but the "report type" column value is different. I need to se
Let's say I have a numpy array where I would like to swap all the 1's to 0 and all the 0's to 1 (the array will have other values, and there is nothing special
I have N number of points, for example: A = [2, 3] B = [3, 4] C = [3, 3] . . . And they're in an array like so: arr = np.array([[2, 3], [3, 4], [3, 3]]) I nee
I am currently trying to feed an image sequence as a single input entity to my CNN. I found the numpy utility numpy.lib.stride_tricks.sliding_window_view My ima
My nox session is defined like: @nox.session(python=["3.10", "3.9.10"]) def mypy(session: Session) -> None: args = session.posargs or locations insta
I am trying to produce a heat map where the pixel values are governed by two independent 2D Gaussian distributions. Let them be Kernel1 (muX1, muY1, sigmaX1, si
I have tried multiple solutions and way around to solve this issue, probably something is still I am missing. I want to insert a list of values to my database.
This application is in analysis of astrophysical data, but the problem is purely a question of programming/syntax. I want to go through my 53 bins of data (each
I've looked at the Sklearn stratified sampling docs as well as the pandas docs and also Stratified samples from Pandas and sklearn stratified sampling based on
Suppose that we have a 4-dimensional tensor, for instance import torch X = torch.rand(2, 3, 4, 4)
I've recently started to use Google Cloud Platform and I run my python scripts in Cloud Shell within Linux environment. By running one of the scripts that is u
I am having difficulties extracting misclassified images, I tried to use the following line of code: inc= np.nonzero(model.predict_classes(test_data).reshape(-
From this answer I know how to plot an image showing the array values. But how to show the i,j indices of each element of the array, instead of the values thems
Note: I know this is very similar to Use numpy.tensordot to replace a nested loop , only that the actual instance we are working on seemed different( I need qua
Suppose I have a numpy matrix like the following: array([array([ 0.0072427 , 0.00669255, 0.00785213, 0.00845336, 0.01042869]), array([ 0.00710799, 0.00
Suppose I have some numpy array (all elements are unique) that I want to sort in descending order. I need to find out which positions elements of initial array