=====Function Descriptions=====
The NumPy (Numeric Python) package helps us manipulate large arrays and matrices of numeric data.

To use the NumPy module, we need to import it using:

import numpy

Arrays

A NumPy array is a grid of values. They are similar to lists, except that every element of an array must be the same type.

import numpy

a = numpy.array([1,2,3,4,5])
print a[1]          #2

b = numpy.array([1,2,3,4,5],float)
print b[1]          #2.0

In the above example, numpy.array() is used to convert a list into a NumPy array. The second argument (float) can be used to set the type of array elements.

=====Problem Statement=====
You are given a space separated list of numbers.
Your task is to print a reversed NumPy array with the element type float.

=====Input Format=====
A single line of input containing space separated numbers.

=====Output Format=====
Print the reverse NumPy array with type float.

Difficulty: introductory

Starter code:

import numpy

def arrays(arr):
    # complete this function
    # use numpy.array

arr = input().strip().split(' ')
result = arrays(arr)
print(result)

Solutions:
import numpy
ar = list(map(float,input().split()))
np_ar = numpy.array(ar,float)
print((np_ar[::-1]))