How can I create a random array from a distribution?

I was wondering how can I create an array of certain dimensions (i.e. 1000x1) from a distribution object?

Answer 1

[the cyclist]

N = 1000;
pd = makedist('Normal','mu',75,'sigma',10);
r = pd.random(N,1);

[Gabs]

thank you cyclist

[the cyclist]

The best form of thanks is upvoting and/or accepting an answer, which rewards the person who helped you, and might also guide people who have similar questions.

[Gabs]

Actually, I am having trouble. I want a random set of numbers from a normal distribution object with a given mu and sigma. However, I need to truncate the distribution. After I truncate it, I am getting a random set of numbers that is NOT normally distributed

[the cyclist]

I'm not sure exactly what you mean. A truncated normal is not a normal. Maybe you need something like a beta distribution, where you can choose parameters that make it symmetric, but it has a finite range?