# Convert Python code (loop) to MATLAB

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Iliqe on 18 Feb 2022
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

Abolfazl Chaman Motlagh on 18 Feb 2022
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 on 20 Feb 2022
Yep, the class of folds will be cell, sorry for not notifying about it.

Dana Albojoq on 10 Apr 2022
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
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)
Ali Muhammad Hassaan on 11 Oct 2022
https://mathesaurus.sourceforge.net/matlab-numpy.html