Translate python into matlab

Hi all,

I have a solution for a task I have to do, but the solution is written and works with python. Now I am asking, if any of you know a way, this could be written in matlab? I am very new to matlab, and therefore I am unable to figure it out myself. The most difficulties arise, when I have to find a solution to pythons enumerate function... Thank you in advance!

The code:

data = np.array([[10, -3, 10, 7, 0, 12],

[12, 12, 12, 10, 0, 12],

[7, 7, 10, 10, 0, 10],

[7, 4, 7, 7, 0, 12],

[-3, 4, 7, 4, 4, 12],

[7, 4, 4, 4, 0, 12]])

jitter_min = -0.1

jitter_max = 0.1

for a,grades in enumerate(data):

x = a*np.ones(len(grades)) + (jitter_max-jitter_min)*np.random.random(size=len(grades))+jitter_min

plt.plot(x, grades, 'o', label='Assignment #{:d}'.format(a), clip_on=False)

plt.xlabel('Assignments')

plt.ylabel('Grades')

Answer 1

[Wan Ji]

We firstly make data a matrix. Each row is named grades, and the row number is a. Then python code can be tranlated to matlab one:

data = [[10, -3, 10, 7, 0, 12];
   [12, 12, 12, 10, 0, 12];
   [7, 7, 10, 10, 0, 10];
   [7, 4, 7, 7, 0, 12];
   [-3, 4, 7, 4, 4, 12];
   [7, 4, 4, 4, 0, 12]];
jitter_min = -0.1;
jitter_max = 0.1;
for a = 1:1:size(data,1)
    grades = data(a,:);
    x = (a-1)*ones(size(grades)) + (jitter_max-jitter_min)*rand(size(grades))+jitter_min;
    plot(x, grades, 'o')
    hold on
end
xlabel('Assignments')
ylabel('Grades')