I've searched on stackoverflow but could not find an answer to this specific question. Sorry if it is a naive question, I am a newbie to python. I have three 2d arrays of shapes Shape of arr_X = (1,8...

edited with a clearer example, and included solution I'd like to slice an arbitrary dimensional array, where I pin the first n dimensions and keep the remaining dimensions. In addition, I'd like to be...

I have the following array: arr = np.array([[1, 1, 1, 1, 1, 1], [2, 0, 0, 0, 0, 2], [3, 0, 0, 0, 0, 3], [4, 4, 4, 4, 4, 4]]) inverse_slice = arr[1:3, 1:5] I want ...

I am looking for a way to resize NumPy arrays with 3 columns and different rows (e.g. number of rows = 3000, 5234, 2650,...) What I am trying to do is set the number of rows to 2048 while still having...