Transpose and Flatten in Python - HackerRank Solution
Transpose and Flatten in Python - HackerRank Solution
Problem :
Transpose
We can generate the transposition of an array using the tool numpy.transpose.
It will not affect the original array, but it will create a new array.
import numpy my_array = numpy.array([[1,2,3], [4,5,6]]) print numpy.transpose(my_array) #Output [[1 4] [2 5] [3 6]]
Flatten
The tool flatten creates a copy of the input array flattened to one dimension.
import numpy my_array = numpy.array([[1,2,3], [4,5,6]]) print my_array.flatten() #Output [1 2 3 4 5 6]
Task :
You are given a N*M integer array matrix with space separated elements ( N =
rows and M = columns).
Your task is to print the transpose and flatten results.
Your task is to print the transpose and flatten results.
Input Format :
The first line contains the space separated values of N and M.
The next N lines contains the space separated elements of M columns.
Output Format :
Sample Input :
2 2 1 2 3 4
Sample Output :
[[1 3] [2 4]] [1 2 3 4]]
Solution :
1 2 3 4 5 6 7 8 9 10 | # Transpose and Flatten in Python - Hacker Rank Solution # Python 3 # Transpose and Flatten in Python - Hacker Rank Solution START import numpy n, m = map(int, input().split()) storage = numpy.array([input().strip().split() for _ in range(n)], int) print (storage.transpose()) print (storage.flatten()) # Transpose and Flatten in Python - Hacker Rank Solution END |
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