All Questions

Say I have an array as follows: arr = np.asarray([1, 2, 3, 4294967296, 100], dtype=np.uint64) I now want two arrays, one array with the lower 32 bits of every element, and one with the upper 32 bits ...

I am working with some image data so the images are represented as numpy arrays with shape (1404, 1404, 3). The image is of type np.uint8 (it has RGB values from 0 to 255) I am wondering about the ...

I am writing a finite volume code to solve the inviscid, compressible Euler equations. As a part of this, I am performing what is known as the Cauchy-Kovalevskaya process. A code snippet is given ...

I have a 2D NumPy array, where the entries are random floats clustered tightly around 1.0, e.g. 1.015, 0.989, etc. The number of rows is n_rows = 10^4, and the number of columns is 2^13: n_rows = 10**...

I am trying to use the finite difference method with NumPy arrays, but the slicing is incredibly slow. It's not viable to use lists as I am applying math operations. Using matlab, equivalent code is ...

I have multiple numpy arrays that are all the same shape. I have two masks that are also that same shape. Right now I'm changing each array one at a time. Is there a faster way to do this? This is a ...

I have a 1D array which is in fact a 2D matrix sampled this way: ↓-------<------S <- start >------->------↓ ↓-------<------< >------->------E <- end For example B = 1 ...

Is it possible to speed up the following code? Here xyz is the Nx3 coordinate array of all the atoms in many identical molecules. mol_atom_indices can be thought of as list of lists. Each list ...

I have a very large 3d array large = np.zeros((2000, 1500, 700)) Actually, large is an image but for each coordinate, it has 700 values. Also, I have 400 bounding boxes. Bounding boxes do not have a ...

My sincere apologies, in advance if this question seems quite basic. Given: >>> import numpy as np >>> import time >>> A = np.random.rand( int(1e5), int(5e4) ) # large numpy ...

I am new to using python and numpy arrays.While i was going through the notes online,saw a mention about how ndarray's are faster than lists.. "NumPy arrays are stored at one continuous place in ...

Problem: I have M objects sampled at different frames and I want to calculate the distance between pairs at each frame. I store the distances as a multidimensional array xij with three axis, where ...

I have an HDF5 file and it contains 500 datasets (named A000, A001, A002, A003 .... A499) and each dataset contains arrays of (200, 5400) sizes. I want to combine the arrays in these datasets and ...

I've heard numpy is much faster than core python lists in case of manipulation speed . but when I ran these pieces of code I got oposite. Can anyone explain to me how this happens ? def pure_py_list():...

I am working with Python and NumPy. I have an image: Its heightmap: I want to combine them to create a bump map like: I need to use as little RAM as possible. The formula is: newColor = oldColor+(...