1 13 6
             9  4 7
             19 16 2

import numpy as np
 
array = [[1, 13, 6], [9, 4, 7], [19, 16, 2]]
 
# defining array
arr = np.array(array)
 
print('printing 0th row')
print(arr[0, :])
 
print('printing 2nd column')
print(arr[:, 2])
 
# multiple columns or rows can be selected as well
print('selecting 0th and 1st row simultaneously')
print(arr[:,[0,1]])

printing 0th row
[ 1 13  6]

printing 2nd column
[6 7 2]

selecting 0th and 1st row simultaneously
[[ 1 13]
 [ 9  4]
 [19 16]]

import numpy as np
 
arr = np.array([[1, 13, 6], [9, 4, 7], [19, 16, 2]])
 
# Access the ith column of a 2D NumPy array
column_i = arr.T[2]
 
#printing the column
print(column_i)

[6 7 2]

import numpy as np
 
arr = np.array([[1, 13, 6], [9, 4, 7], [19, 16, 2]])
 
# Access the ith column of a 2D NumPy array
col = [row[1] for row in arr]
 
# printing the column
print(col)

[13, 4, 16]

import numpy as np
 
# defining array
array = [[1, 13, 6], [9, 4, 7], [19, 16, 2]]
 
# converting to numpy array
arr = np.array(array)
 
print('selecting 0th column')
print(arr[..., 0])
 
print('selecting 1st row')
print(arr[1, ...])

selecting 0th column
[ 1  9 19]

selecting 1st row
[9 4 7]