Python – Matrix Custom Multiplier
Sometimes, while working with data, we can have a problem in which we need to multiply each row of matrix with a different multiplier. This kind of application is important in data science domain. Lets discuss certain ways in which this task can be performed.
Method #1 : Using loop + zip()
The combination of above functions can be used to perform this task. In this, we iterate through each row and perform the task of multiplication using zip().
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# Python3 code to demonstrate # Matrix Custom Multiplier# using loop + zip() # Initializing listtest_list1 = [[1, 3], [5, 6], [8, 9]]test_list2 = [4, 3, 6] # printing original listsprint("The original list 1 is : " + str(test_list1))print("The original list 2 is : " + str(test_list2)) # Matrix Custom Multiplier# using loop + zip()res = []for mul, sub in zip(test_list2, test_list1): temp = [] for ele in sub: temp.append(mul * ele) res.append(temp) # printing result print ("Matrix after custom multiplication : " + str(res)) |
The original list 1 is : [[1, 3], [5, 6], [8, 9]] The original list 2 is : [4, 3, 6] Matrix after custom multiplication : [[4, 12], [15, 18], [48, 54]]
Method #2 : Using list comprehension + zip()
The combination of above methods can be used to solve this problem. In this, we just iterate through the list and perform the task of multiplication in one liner.
# Python3 code to demonstrate # Matrix Custom Multiplier# using list comprehension + zip() # Initializing listtest_list1 = [[1, 3], [5, 6], [8, 9]]test_list2 = [4, 3, 6] # printing original listsprint("The original list 1 is : " + str(test_list1))print("The original list 2 is : " + str(test_list2)) # Matrix Custom Multiplier# using list comprehension + zip()res = [[mul * ele for ele in sub] for mul, sub in zip(test_list2, test_list1)] # printing result print ("Matrix after custom multiplication : " + str(res)) |
The original list 1 is : [[1, 3], [5, 6], [8, 9]] The original list 2 is : [4, 3, 6] Matrix after custom multiplication : [[4, 12], [15, 18], [48, 54]]
