Convert Python code (loop) to MATLAB

Hello everyone, here I have some code from Python, could you please help to convert it to Matlab.

mylist = list(range(100)) # for demo

folds = [mylist[x:x+10] for x in range(0, len(mylist),10)] # create 10 folds

# Iterate all folds

counter = 0

for i in range(len(folds)):

counter += 1

testing = folds[i]

training = folds[:i] + folds[i+1:]

print(f"Iteration {counter}, for testing: {testing},\n for training: {training} \n") # for check

Answer 1

[Abolfazl Chaman Motlagh]

it depend on what class you want folds be. (an array, a cell , ... )

for example if all elements in list have same lenght, here 10;

you can use 2D array:

folds = reshape(1:100,[10 10])'
for i=1:10
    testing  = folds(i,:);
    training = folds([1:i-1 i+1:10],:);
    disp(['iteration ' num2str(i) , ' for testing: ' num2str(testing)])
    disp('for training: '); disp(num2str(training));
end

for cell :

for i=1:10
    folds{i,1} = (i-1)*10+1:i*10;
end
for i=1:10
    testing  = folds{i}; % as an array , folds(i) as a cell
    training = folds(setdiff(1:10,i));  % as a cell
    disp(['iteration ' num2str(i) , ' for testing: ' num2str(testing)])
    disp('for training: '); disp(num2str(cell2mat(training))); % cause training is cell you should convert it to array first
end

[Iliqe]

Yep, the class of folds will be cell, sorry for not notifying about it.

But your answer covers even more than I asked, many thanks, it works well!

Answer 2

[Dana Albojoq]

hello I have Python code , can you help to convert it to Matlab.

import cv2

import numpy as np

def pixelVal(pix, a1, b1, a2, b2):

if (0 <= pix and pix <= a1):

return (b1 / a1)*pix

elif (a1 < pix and pix <= a2):

return ((b2 - b1)/(a2 - a1)) * (pix - a1) + b1

else:

return ((255 - b2)/(255 - a2)) * (pix - a2) + b2

img = cv2.imread('sample.jpg')

a1 = 70

b1 = 0

a2 = 140

b2 = 255

pixelVal_vec = np.vectorize(pixelVal)

contrast_stretched = pixelVal_vec(img, a1, b1, a2, b2)

cv2.imwrite('contrast_stretch.jpg', contrast_stretched)