Nested Tuples in Python can be best defined as a ‘tuple within another tuple’. A Python tuple can have elements of different type, when we take a tuple as an element of the main tuple, then that tuple is called a Nested tuple.

Consider two tuples, t1, t2

t1 = (1, 2, 3, 4)
t2 = (5, t1)

In the above code, we have added t1 as an element of tuple t2, hence, t1 is our nested tuple.

t1 = (1, 2, 3, 4)
t2 = (5, t1)
print(t2)

O/P

(5, (1, 2, 3, 4))

Hence,
t2[0] = 5
t2[1] = (1, 2, 3, 4)

So, t2[3] is our nested tuple. To print of the elements, we can use for loop, like

for i in t2[1]:
  print(i, end= ' ')

O/P

1 2 3 4

Similarly,

t2[1][0] = 1
t2[1][1] = 2
t2[1][2] = 3
t2[1][3] = 4

Representing Tuples as Matrices

A matrix is a two-dimensional data structure where numbers are arranged into rows and columns.

For example, a matrix with two rows and two columns will look like

In Python, we can represent this matrix with Nested Tuple. For example, above matrix can be represented as

mat = ((2, 3), (1, 4))

Similarly, matrix for 3 by 3 will look like :

mat = ((1, 2, 3), (4, 5, 6), (7, 8, 9))

Here, (1, 2, 3) is the first row. Let’s try to access this matrix or Nested Tuples.

mat = ((2, 3), (1, 4)) 
for i in mat: # loop row by row 
  print(i) 

O/P

(2, 3)
(1, 4)

Now, lets try to retrieve columns in each row

mat = ((2, 3), (1, 4))
for i in mat: # loop row by row 
  for j in i: # loop column
    print(j, end = ' ') 
  print()

O/P

2 3
1 4

Another way of traversing nested tuple

mat = ((2, 3), (1, 4))
for i in range(len(mat)): # loop row by row 
  for j in range(len(mat[i])): # loop column
    print(mat[i][j], end = ' ') 
  print()

O/P

2 3
1 4

That’s all here.