Set up a sample array:
In [17]: a = np.arange(10).reshape(5,2)
In [18]: a
Out[18]:
array([[0, 1],
[2, 3],
[4, 5],
[6, 7],
[8, 9]])
Then depending on the shape of the array resulting from the first value in each row:
In [19]: a[:,0]
Out[19]: array([0, 2, 4, 6, 8])
or
In [20]: a[:,0][:,None] # or a[:,0,None] or a[:,0,np.newaxis]
Out[20]:
array([[0],
[2],
[4],
[6],
[8]])