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 X NumPy array.