Zeros and Ones in Python - HackerRank Solution
Zeros and Ones in Python - HackerRank Solution
Problem :
import numpy print numpy.zeros((1,2)) #Default type is float #Output : [[ 0. 0.]] print numpy.zeros((1,2), dtype = numpy.int) #Type changes to int #Output : [[0 0]]
ones
The ones tool returns a new array with a given shape and type filled with 1's.
The ones tool returns a new array with a given shape and type filled with 1's.
import numpy print numpy.ones((1,2)) #Default type is float #Output : [[ 1. 1.]] print numpy.ones((1,2), dtype = numpy.int) #Type changes to int #Output : [[1 1]]
Task :
You are given the shape of the array in the form of space-separated integers,
each integer representing the size of different dimensions, your task is to
print an array of the given shape and integer type using the tools numpy.zeros
and numpy.ones.
Input Format :
A single line containing the space-separated integers.
Constraints :
- 1 <= each inteager <= 3
Output Format :
First, print the array using the numpy.zeros tool and then print the array
with the numpy.ones tool.
Sample Input :
3 3 3
Sample Output :
[[[0 0 0] [0 0 0] [0 0 0]] [[0 0 0] [0 0 0] [0 0 0]] [[0 0 0] [0 0 0] [0 0 0]]] [[[1 1 1] [1 1 1] [1 1 1]] [[1 1 1] [1 1 1] [1 1 1]] [[1 1 1] [1 1 1] [1 1 1]]]
Explanation :
Print the array built using numpy.zeros and numpy.ones tools and you get the
result as shown.
Solution :
1 2 3 4 5 6 7 8 9 | # Zeros and Ones in Python - Hacker Rank Solution # Python 3 # Zeros and Ones in Python - Hacker Rank Solution START import numpy N = tuple(map(int, input().split())) print(numpy.zeros(N, int)) print(numpy.ones(N, int)) # Zeros and Ones in Python - Hacker Rank Solution END |
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