Python | Conversion to N*N tuple matrix

Sometimes, while working with data, we can have a problem in which we have data in form of tuple Matrix with uneven length rows. In this case there’s a requirement to complete the N*N matrix with a default value. Let’s discuss certain ways in which this problem can be solved.

Method #1 : Using loop + * operator
This problem can be solved using loop. This is brute force method to perform this task. We just append the default value as many times, as the data is missing in a row than N.

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# Python3 code to demonstrate working of
# Conversion to N * N tuple matrix 
# using loop + * operator
  
# initialize tuple
test_tup = ((5, 4), (3, ), (1, 5, 6, 7), (2, 4, 5))
  
# printing original tuple
print("The original tuple is : " + str(test_tup))
  
# initializing dimension
N = 4
  
# Conversion to N * N tuple matrix 
# using loop + * operator
res = []
for tup in test_tup :
    res.append( tup +(0, ) * (N - len(tup)))
  
# printing result
print("Tuple after filling values : " + str(res))

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Output :



The original tuple is : ((5, 4), (3, ), (1, 5, 6, 7), (2, 4, 5))
Tuple after filling values : [(5, 4, 0, 0), (3, 0, 0, 0), (1, 5, 6, 7), (2, 4, 5, 0)]

 

Method #2 : Using tuple() + generator expression
Similar task can be performed in one line using generator expression. In this, similar logic is applied as above just zipped as one-liner. The tuple(), changes result to tuple.

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# Python3 code to demonstrate working of
# Conversion to N * N tuple matrix 
# using tuple() + generator expression
  
# initialize tuple
test_tup = ((5, 4), (3, ), (1, 5, 6, 7), (2, 4, 5))
  
# printing original tuple
print("The original tuple is : " + str(test_tup))
  
# initializing dimension
N = 4
  
# Conversion to N * N tuple matrix 
# using tuple() + generator expression
res = tuple(sub + (0, ) * (N-len(sub)) for sub in test_tup)
  
# printing result
print("Tuple after filling values : " + str(res))

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Output :

The original tuple is : ((5, 4), (3, ), (1, 5, 6, 7), (2, 4, 5))
Tuple after filling values : ((5, 4, 0, 0), (3, 0, 0, 0), (1, 5, 6, 7), (2, 4, 5, 0))


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