Arrays in Python - HackerRank Solution
Problem :
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
Array :
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
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.
Task :
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.
Sample Input :
1 2 3 4 -8 -10
Sample Output :
[-10. -8. 4. 3. 2. 1.]
Solution :
1 2 3 4 5 6 7 8 9 10 11 12 13 | # Arrays in Python - Hacker Rank Solution # Python 3 import numpy def arrays(arr): # complete this function # use numpy.array # Arrays in Python - Hacker Rank Solution START return(numpy.array(arr[::-1], float)) # Arrays in Python - Hacker Rank Solution END arr = input().strip().split(' ') result = arrays(arr) print(result) |
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