All Questions

Is there a smart way to vectorize a nested for loop of inner products, where the inner index is lower bound by the outer index? Here's a simple example. Say that arr1 and arr2 are numpy arrays each ...

My function is such that it takes the minimum over the range of dataframe which keeps increasing in length and maximum over the dataframe which reduces in length with each iteration. The dataframe ...

I am new to python, but have been coding in MATLAB for years. I've been working to code a specific problem, which requires nested for loops for multiple matrices to solve a series of equations. I knew ...

First time asking a question here. The following code is supposed to plot the 'neutron drip line' of nuclei. It represents, fir each specific value of atomic number (Z), the limiting value of neutron ...

I have a large image on which I want to perform an operation from a moving window over the whole window. Here is a reproducible example: Given an array named image with shape (5, 5), I need to extract ...

I'm trying to avoid loops as much as possible in Python because I have been told that code runs more efficiently when there are fewer loops. For the same reason, I'm also trying to use "zip"...

I am trying to use the following function with Numba: @numba.njit def nested_sort(s): return sorted(s, key=lambda x: (x[1], x[2])) s = [[1, 3, 11], [2, 3, 19], [3, 2, 18], [4, 2, 9]] nested_sort(...

I have 4 nested loops in my Python code and it takes ages to finish all the loops when the grids are big. For example, here is a piece of my code: from itertools import product T = 50 beta ...

Let's assume we have a three-dimensional array x. For each k, I want to have the mean of x[:, :, k] stored as out[k]. The task is simple if it is a 3D or 4D matrix, with the for loop like this: x = np....

I have this code. n_nodes = len(data_x) X = np.zeros((n_nodes, n_nodes)) for i in range(n_nodes): for j in range(n_nodes): X[i, j] = data_x[i] ** j I want to do the same task with no loops ...

I made a bouncing ball simulation in Matplotlib, the update function exchange the move vectors (attributes) of the balls when they collide. Is it possible to replace the for loops in the update ...

In my code I have a list1 of about length 12000 and a list2 of about length 2000, and I want to create data that is based on how data from both these interact and assign it to each value from list2 ...

I have 5 arrays, that I need to create two large arrays of shape ((1000,5000)) to use in regression analysis. I'm currently using the following code. # data shapes are as follows bbeta.shape = ((5000,...

I'm trying to implement a differential in python via numpy that can accept a scalar, a vector, or a matrix. import numpy as np def foo_scalar(x): f = x * x df = 2 * x return f, df def ...

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 quadratic form caclculation) and I wasn't ...