I'm experimenting in
ipython3
In [105]: counts_array
Out[105]:
array([array([ 17, 59, 320, ..., 1, 7, 0], dtype=uint32),
array([ 30, 71, 390, ..., 12, 20, 6], dtype=uint32),
array([ 7, 145, 214, ..., 4, 12, 0], dtype=uint32),
array([ 23, 346, 381, ..., 15, 19, 5], dtype=uint32),
array([ 51, 78, 270, ..., 3, 0, 2], dtype=uint32),
array([212, 149, 511, ..., 19, 31, 8], dtype=uint32)], dtype=object)
In [106]: counts_array.shape
Out[106]: (6,)
In [107]: counts_array[0].shape
Out[107]: (1590,)
shape=(6, 1590), dtype=uint32
You can use np.vstack

np.vstack(counts_array)
Another way with np.concatenate

np.concatenate(counts_array).reshape(len(counts_array),1)
Sample run 
In [23]: a
Out[23]:
array([array([68, 92, 84, 35, 14, 71, 55, 40, 21, 41]),
array([30, 90, 52, 64, 86, 68, 61, 85, 26, 98]),
array([98, 64, 23, 49, 13, 17, 52, 96, 97, 19]),
array([54, 26, 25, 22, 95, 77, 20, 73, 22, 80]),
array([15, 84, 91, 54, 25, 21, 37, 19, 25, 25]),
array([87, 17, 49, 74, 11, 34, 27, 23, 22, 83])], dtype=object)
In [24]: np.vstack(a)
Out[24]:
array([[68, 92, 84, 35, 14, 71, 55, 40, 21, 41],
[30, 90, 52, 64, 86, 68, 61, 85, 26, 98],
[98, 64, 23, 49, 13, 17, 52, 96, 97, 19],
[54, 26, 25, 22, 95, 77, 20, 73, 22, 80],
[15, 84, 91, 54, 25, 21, 37, 19, 25, 25],
[87, 17, 49, 74, 11, 34, 27, 23, 22, 83]])