Shape and Reshape python


Problem Statement :


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,) -> 1 row and 5 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 3 X 3 NumPy array.


Input Format

A single line of input containing 9 space separated integers.


Output Format

Print the 3 X 3 NumPy array.


Solution :



title-img 


                            Solution in C :

import numpy

a=numpy.array(list(map(int,input().split())))
print(numpy.reshape(a,(3,3)))








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