ExamAdept

What does the NumPy function numpy.linspace(1, 10, 5) do?

A:

Creates an array with values ranging from 1 to 10 with a step of 5.

B:

Generates a sequence of 5 evenly spaced values between 1 and 10.

C:

Reshapes an existing array to have dimensions 1x10.

D:

Computes the logarithm of each element in the array.

Answer: B

The numpy.linspace() function generates a sequence of 5 evenly spaced values between 1 and 10.

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How can you find the indices of non-zero elements in a NumPy array arr?

A:

np.where(arr != 0)

B:

np.nonzero(arr)

C:

np.find_nonzero(arr)

D:

arr.index_nonzero()

Answer: B

The np.nonzero() function returns the indices of non-zero elements in the array.

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What does the NumPy function numpy.zeros((3, 4)) do?

A:

Creates a 3x4 array with all elements initialized to zero.

B:

Generates an array with random values.

C:

Reshapes an existing array to have dimensions 3x4.

D:

Computes the square root of each element in the array.

Answer: A

The numpy.zeros() function creates a 3x4 array with all elements initialized to zero.

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How do you find the median value of a NumPy array arr?

A:

np.median(arr)

B:

arr.median()

C:

np.mean(arr)

D:

arr.mean()

Answer: A

The np.median() function calculates the median value of the array.

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What does the NumPy function numpy.unique(arr) return?

A:

The array with only unique elements.

B:

The count of unique elements in the array.

C:

The indices of unique elements in the array.

D:

The mean of unique elements in the array.

Answer: A

The numpy.unique() function returns the array with only unique elements.

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Questions for: Arrays