# Python | Matrix Tuple pair Column product

Sometimes, we encounter a problem where we deal with a complex type of matrix column product in which we are given a tuple and we need to perform the product of its like elements. This has a good application in Machine Learning domain. Let’s discuss certain ways in which this can be done.

Method #1 : Using `zip()` + list comprehension
This problem can be resolved using the list comprehension which could perform the column product logic and zip function is used to bind the elements as a result and also at the time of vertical product.

 `# Python3 code to demonstrate ` `# Matrix Tuple pair Column product ` `# using list comprehension + zip() ` ` `  `# getting Product  ` `def` `prod(val) :  ` `    ``res ``=` `1`  `    ``for` `ele ``in` `val:  ` `        ``res ``*``=` `ele  ` `    ``return` `res   ` ` `  `# initializing list  ` `test_list ``=` `[[(``1``, ``4``), (``2``, ``3``), (``5``, ``2``)], [(``3``, ``7``), (``1``, ``9``), (``10``, ``5``)]] ` ` `  `# printing original list ` `print``(``"The original list : "` `+` `str``(test_list)) ` ` `  `# using list comprehension + zip() ` `# Matrix Tuple pair Column product ` `res ``=` `[``tuple``(prod(j) ``for` `j ``in` `zip``(``*``i)) ``for` `i ``in` `zip``(``*``test_list)] ` ` `  `# print result ` `print``(``"The product of columns of tuple list : "` `+` `str``(res)) `

Output :

```The original list : [[(1, 4), (2, 3), (5, 2)], [(3, 7), (1, 9), (10, 5)]]
The product of columns of tuple list : [(3, 28), (2, 27), (50, 10)]
```

Method #2 : Using `zip() + map()`
The task of binding the column elements can also be performed using the map function and the zip function performs the task of binding the product tuples. Both logics bound by list comprehension.

 `# Python3 code to demonstrate ` `# Matrix Tuple pair Column product ` `# using zip() + map() ` ` `  `# getting Product  ` `def` `prod(val) :  ` `    ``res ``=` `1`  `    ``for` `ele ``in` `val:  ` `        ``res ``*``=` `ele  ` `    ``return` `res  ` ` `  `# initializing list  ` `test_list ``=` `[[(``1``, ``4``), (``2``, ``3``), (``5``, ``2``)], [(``3``, ``7``), (``1``, ``9``), (``10``, ``5``)]] ` ` `  `# printing original list ` `print``(``"The original list : "` `+` `str``(test_list)) ` ` `  `# using zip() + map() ` `# Matrix Tuple pair Column product ` `res ``=` `[``tuple``(``map``(prod, ``zip``(``*``i))) ``for` `i ``in` `zip``(``*``test_list)] ` ` `  `# print result ` `print``(``"The product of columns of tuple list : "` `+` `str``(res)) `

Output :

```The original list : [[(1, 4), (2, 3), (5, 2)], [(3, 7), (1, 9), (10, 5)]]
The product of columns of tuple list : [(3, 28), (2, 27), (50, 10)]
```

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