I want to generate a random possion number distribution where the sum of the generate number is 1000 and the lower-upper bound of the distribution is (3-30).
I can use numpy to generate random number:
In [2]: np.random.poisson(5, 150) array([ 4, 4, 6, 4, 8, 6, 4, 2, 6, 8, 8, 8, 1, 4, 3, 4, 1, 3, 7, 6, 7, 4, 5, 5, 7, 6, 5, 3, 3, 5, 4, 6, 2, 0, 3, 5, 6, 2, 5, 2, 4, 7, 4, 7, 8, 5, 6, 1, 4, 4, 7, 4, 7, 2, 7, 4, 3, 8, 10, 2, 5, 7, 6, 3, 5, 7, 8, 5, 4, 7, 8, 8, 2, 2, 10, 6, 3, 5, 2, 5, 5, 6, 4, 6, 4, 0, 4, 3, 5, 8, 6, 7, 4, 4, 4, 3, 3, 4, 4, 6, 7, 6, 3, 9, 7, 7, 4, 5, 2, 4, 3, 6, 5, 6, 3, 6, 8, 9, 6, 3, 4, 4, 7, 3, 9, 12, 4, 5, 5, 7, 6, 5, 2, 10, 1, 3, 4, 4, 6, 5, 4, 4, 7, 5, 6, 5, 7, 2, 5, 5])
But, I want to add something more to it :
- The random number should be minimal of 3 and max of 30
- The sum of the generated random number should be 1000.
I know, I may not be creating an exact possion distribution if I manipulate. But, I want something like possion but with suggested controls.
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