ExamAdept

What is the purpose of the NumPy function numpy.outer(arr1, arr2)?

A:

Computes the outer product of two arrays.

B:

Concatenates two arrays along a specified axis.

C:

Transposes the array.

D:

Reshapes the array.

Answer: A

The numpy.outer() function computes the outer product of two arrays.

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What does the NumPy function numpy.diag(arr, k=0) do?

A:

Computes the determinant of the array.

B:

Extracts the diagonal elements from the array.

C:

Transposes the array.

D:

Finds the eigenvalues of the array.

Answer: B

The numpy.diag() function extracts the diagonal elements from the array.

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In NumPy, what does the function numpy.mean(arr, axis=None) compute?

A:

Median of the array.

B:

Sum of the array elements.

C:

Mean (average) of the array values along the specified axis.

D:

Standard deviation of the array.

Answer: C

The numpy.mean() function computes the mean (average) of the array values along the specified axis.

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What is the output of the following NumPy code snippet?

import numpy as np

arr = np.array([1, 2, 3, 4, 5])
result = np.where(arr % 2 == 0, "even", "odd")
print(result)

A:

['odd' 'even' 'odd' 'even' 'odd']

B:

['even' 'odd' 'even' 'odd' 'even']

C:

[False True False True False]

D:

[1 0 1 0 1]

Answer: A

The code uses np.where() to label even and odd numbers in the array.

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What is the purpose of the NumPy function numpy.flip(arr, axis=None)?

A:

Rotates the array elements.

B:

Reverses the order of elements along a specified axis.

C:

Shifts the elements to the left.

D:

Computes the cumulative sum of array elements.

Answer: B

The numpy.flip() function reverses the order of elements along a specified axis.

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Questions for: Arrays