Shape and Reshape in Python - HackerRank Solution
Shape and Reshape in Python - HackerRank Solution
Problem :
Shape :
The shape tool gives a tuple of array dimensions and can be used to change the
dimensions of an array.
(a). Using shape to get array dimensions
import numpy my__1D_array = numpy.array([1, 2, 3, 4, 5]) print my_1D_array.shape #(5,) -> 5 rows and 0 columns my__2D_array = numpy.array([[1, 2],[3, 4],[6,5]]) print my_2D_array.shape #(3, 2) -> 3 rows and 2 columns
(b). Using shape to change array dimensions
import numpy change_array = numpy.array([1,2,3,4,5,6]) change_array.shape = (3, 2) print change_array #Output [[1 2] [3 4] [5 6]]
Reshape
The reshape tool gives a new shape to an array without changing its data. It
creates a new array and does not modify the original array itself.
import numpy my_array = numpy.array([1,2,3,4,5,6]) print numpy.reshape(my_array,(3,2)) #Output [[1 2] [3 4] [5 6]]
Task :
You are given a space separated list of nine integers. Your task is to convert
this list into a 3X3 NumPy array.
Input Format :
A single line of input containing 9 space separated integers.Output Format :
Print the 3X3 NumPy array.
Sample Input :
1 2 3 4 5 6 7 8 9
Sample Output :
[[1 2 3] [4 5 6] [7 8 9]]
Solution :
1 2 3 4 5 6 | # Shape and Reshape in Python - Hacker Rank Solution # Python 3 import numpy # Shape and Reshape in Python - Hacker Rank Solution START print(numpy.array(input().split(), int).reshape(3, 3)) # Shape and Reshape in Python - Hacker Rank Solution END |
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