How to replace all elements of a list using a for loop

Question The question here asks to make two lists/arrays in python and fill it with 0s initially and then occupy them with the relevant values. import numpy as np x = [] y = [] for i in range (0,101): x.append(0) y.append(0) xx = np.linspace(1,10,101) print(xx) for a in range (len(y)): for j in xx:… Read More How to replace all elements of a list using a for loop

Optimise initialisation of several np.zeros() arrays of fixed size in Python

I would like to optimise the process of initialising python np.zeros() arrays. Right now I just have a list of them like import numpy as np n_elements = 10 a = np.zeros(n_elements) b = np.zeros(n_elements) c = np.zeros(n_elements) d = np.zeros(n_elements) Do you know how I could make this bulk of code shorter? I know… Read More Optimise initialisation of several np.zeros() arrays of fixed size in Python

Question about converting a list of strings to ints

I am trying to convert one column in my numpy array from strings to ints, however when I tried the methods I found online, it didn’t mutate the column. Here is my code: frequencies = np.array([[‘a’, ‘24273’], [‘b’, ‘11416’], [‘c’, ‘8805’], [‘d’, ‘6020’]]) frequencies[:, 1] = frequencies[:, 1].astype(int) print(frequencies) The array is unchanged when I… Read More Question about converting a list of strings to ints

How to make a for loop in python, which is called multiple times consecutively, execute faster?

I’d like to state off the bat that I don’t have a lot of experience with numPy, and deeper explanation would be appreciated(even obvious ones). Here’s my issue: converted_X = X for col in X: curr_data = X[col] i = 0 for pix in curr_data: inv_pix = 255.0 – pix curr_data[i] = inv_pix i+=1 converted_X[col]… Read More How to make a for loop in python, which is called multiple times consecutively, execute faster?