**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 :

` ````
Solution in C :
import numpy
a=numpy.array(list(map(int,input().split())))
print(numpy.reshape(a,(3,3)))
```

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