I want to create a 2D uniformly random array in numpy which is something like:
A=[[a1,b1],
[a2,b2],
...,
[a99,b99]]
But I want the values of the A column between a certain range (say between 1-10) and values of B within a different range (say 11-20).
How would this be obtained in Python?
Two ways.
We could stack two random arrays with properly assigned low and high values -
In [39]: n = 10000 # no. of rows
In [40]: np.c_[np.random.randint(1,11,(n)), np.random.randint(11,21,(n))]
Out[40]:
array([[ 6, 19],
[ 8, 18],
[ 6, 11],
...,
[ 5, 12],
[10, 16],
[ 7, 17]])
In [41]: _.min(0), _.max(0) # verify
Out[41]: (array([ 1, 11]), array([10, 20]))
Another would be to create 2D random array with [1,10] interval and then add 10 offset for the second column, thus getting us [11,20] interval for it -
In [42]: np.random.randint(1,11,(n,2)) + [0,10]
Out[42]:
array([[10, 16],
[ 9, 12],
[ 4, 17],
...,
[ 7, 15],
[ 5, 11],
[ 4, 14]])
In [43]: _.min(0), _.max(0) # verify
Out[43]: (array([ 1, 11]), array([10, 20]))
