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numpyarray.py
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31 lines (26 loc) · 1.05 KB
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# 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:
# 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.
# 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.
import numpy
def arrays(arr):
# complete this function
# use numpy.array
arr = numpy.array(arr, dtype=float)
return arr[::-1]
arr = input().strip().split(' ')
result = arrays(arr)
print(result)