=====Function Descriptions=====
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]]

=====Problem Statement=====
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.

Difficulty: introductory

Starter code:

import numpy

Solutions:
import numpy
ar = list(map(int,input().split()))
np_ar = numpy.array(ar)
print((numpy.reshape(np_ar,(3,3))))


import numpy
arr = numpy.array([int(x) for x in input().strip().split()])
arr.shape = (3, 3)
print(arr)