Mark the proper output from the options belowimport numpy as npnames = np.array(["Reem" , "Salah" , "Haya" , "Maryam" , "Fatema"])print(names[[2,3,4]])What is the program's output?A[ 'Haya' 'Maryam' 'Fatema' ]B[ 'Maryam' 'Haya' 'Fatema' ]C[ 'Reem' 'Salah' 'Fatema' ]D[ 'Reem' 'Salah' 'Haya' ]
Question
Mark the proper output from the options belowimport numpy as npnames = np.array(["Reem" , "Salah" , "Haya" , "Maryam" , "Fatema"])print(names[[2,3,4]])What is the program's output?A[ 'Haya' 'Maryam' 'Fatema' ]B[ 'Maryam' 'Haya' 'Fatema' ]C[ 'Reem' 'Salah' 'Fatema' ]D[ 'Reem' 'Salah' 'Haya' ]
Solution
The correct answer is A[ 'Haya' 'Maryam' 'Fatema' ].
Here's the step by step explanation:
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We first import the numpy library which provides support for large multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these elements.
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We then create a numpy array "names" with the elements "Reem", "Salah", "Haya", "Maryam", "Fatema".
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When we print(names[[2,3,4]]), we are indexing the numpy array. In Python, indexing starts from 0. So, "Reem" is at index 0, "Salah" is at index 1, "Haya" is at index 2, "Maryam" is at index 3 and "Fatema" is at index 4.
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Therefore, names[[2,3,4]] will output the elements at the 2nd, 3rd and 4th index of the array, which are 'Haya', 'Maryam' and 'Fatema' respectively.
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