I would like to loop through 10 columns and 170 rows to select 5 random numbers

I have an array data set of (10, 170) in shape.

Name: id_matrix

array([[   1,  171,  341, ..., 1191, 1361, 1531],
       [   2,  172,  342, ..., 1192, 1362, 1532],
       [   3,  173,  343, ..., 1193, 1363, 1533],
       ...,
       [ 168,  338,  508, ..., 1358, 1528, 1698],
       [ 169,  339,  509, ..., 1359, 1529, 1699],
       [ 170,  340,  510, ..., 1360, 1530, 1700]])

I would like to loop through each of the 170 columns, which also contains 170 numbers each, and randomly select five numbers. I will then print them to the screen as a group, in this outline, I will be ably to format accordingly when the code is working correctly.

Group 1: [ 92  73 139  54 147]
Group 2: [182 333 219 292 214]

I also need to set a np.random.seed(489) to preserve replication and repeatability. I tried to capture these values and getting stuck.

col=0
data=[row[col] for row in id_matrix]
print(data)

or this version:

import pandas as pd
df[df.columns.to_series().sample(5)]

None of these approaches seems to look like what I want... I ran Google searches, but do not seem to find any leads as to how to generate the loop that I need to create the random set from these columns.

Please advise...