Initialize Matrix in Python

Sometimes in the world of competitive programming, we need to initialise the matrix, but we don’t wish to do it in a longer way using a loop. We need a shorthand for this. This type of problem is quite common in dynamic programming domain. Let’s discuss certain ways in which this can be done.

Method #1 : Using List comprehension
List comprehension can be treated as a shorthand for performing this particular operation. In list comprehension, we can initialise the inner list and then extend this logic to each row again using the list comprehension.

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# Python3 code to demonstrate 
# initializing matrix
# using list comprehension
  
# Declaring rows
N = 5
  
# Declaring columns
M = 4
  
# using list comprehension 
# to initializing matrix
res = [ [ 0 for i in range(N) ] for j in range(M) ]
  
# printing result 
print("The matrix after initializing : " + str(res))

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Output :

The matrix after initializing : [[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0]]

 

Method #2 : Using list comprehension + “*” operator
This problem can also be simplified using the * operator which can slightly reduce the tedious way task is done and can simply use multiply operator to extent the initialization to all N rows.

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# Python3 code to demonstrate 
# initializing matrix
# using list comprehension
# and * operator
  
# Declaring rows
N = 5
  
# Declaring columns
M = 4
  
# using list comprehension 
# to initializing matrix
res = [ [0 for i in range(M)] * N]
  
# printing result 
print("The matrix after initializing : " + str(res))

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Output :

The matrix after initializing : [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]



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