Convert Matrix to Custom Tuple Matrix in Python

In Python, a tuple is an immutable data structure represented by parentheses (). Converting a matrix to a custom tuple matrix means transforming each element in the matrix into a single-element tuple. This creates a matrix where each value becomes (value,) instead of just value.

For example, converting [[1, 2], [3, 4]] results in [[(1,), (2,)], [(3,), (4,)]].

Using List Comprehension

List comprehension provides a concise way to transform matrix elements ?

def matrix_to_custom_tuple(matrix):
    return [[(value,) for value in row] for row in matrix]

# Example matrix
matrix = [[11, 92, 34], [14, 15, 16], [74, 89, 99]]
result = matrix_to_custom_tuple(matrix)
print(result)

[[(11,), (92,), (34,)], [(14,), (15,), (16,)], [(74,), (89,), (99,)]]

Using Nested For Loops

A more explicit approach using nested loops to iterate through each element ?

def matrix_to_custom_tuple(matrix):
    custom_tuple_matrix = []
    for row in matrix:
        custom_tuple_row = []
        for value in row:
            custom_tuple_row.append((value,))
        custom_tuple_matrix.append(custom_tuple_row)
    return custom_tuple_matrix

# Example with different data
matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
result = matrix_to_custom_tuple(matrix)
print("Custom Tuple Matrix:", result)

Custom Tuple Matrix: [[(1,), (2,), (3,)], [(4,), (5,), (6,)], [(7,), (8,), (9,)]]

Using map() and lambda

Combining map() with lambda functions for functional programming approach ?

def matrix_to_custom_tuple(matrix):
    return list(map(lambda row: list(map(lambda value: (value,), row)), matrix))

# Example with string matrix
matrix = [['A', 'B', 'C'], ['D', 'E', 'F'], ['G', 'H', 'I']]
result = matrix_to_custom_tuple(matrix)
print(result)

[[('A',), ('B',), ('C',)], [('D',), ('E',), ('F',)], [('G',), ('H',), ('I',)]]

Working with Irregular Matrices

All methods work with matrices having rows of different lengths ?

# Irregular matrix (different row lengths)
matrix = [[1, 2], [3, 4, 5, 6], [7], [8, 9, 10]]

# Using list comprehension
result = [[(value,) for value in row] for row in matrix]
print("Irregular matrix result:", result)

Irregular matrix result: [[(1,), (2,)], [(3,), (4,), (5,), (6,)], [(7,)], [(8,), (9,), (10,)]]

Comparison

Conclusion

List comprehension is the most Pythonic and readable approach for converting matrices to custom tuple matrices. Use nested loops for complex transformations and map() with lambda for functional programming patterns.