ExamAdept

How do you stack two NumPy arrays vertically?

A:

np.concatenate((arr1, arr2), axis=0)

B:

np.vstack((arr1, arr2))

C:

np.stack((arr1, arr2), axis=0)

D:

np.append(arr1, arr2, axis=0)

Answer: B

The np.vstack() function in NumPy is used to stack arrays vertically.

📖

What does the function numpy.zeros_like(arr) do in NumPy?

A:

Creates a new array with zeros of the same shape as arr.

B:

Fills the existing array arr with zeros.

C:

Checks if all elements in arr are zero.

D:

Reshapes arr to have all zero elements.

Answer: A

The numpy.zeros_like() function creates a new array with zeros of the same shape as the input array arr.

📖

Which NumPy function is used to find the unique elements of an array?

A:

numpy.unique()

B:

numpy.distinct()

C:

arr.unique()

D:

numpy.find_unique()

Answer: A

The numpy.unique() function is used to find the unique elements of an array.

📖

What is the purpose of the numpy.concatenate() function in NumPy?

A:

Concatenates two Python lists.

B:

Combines two NumPy arrays along a specified axis.

C:

Merges two dictionaries.

D:

Joins two strings.

Answer: B

The numpy.concatenate() function in NumPy is used to concatenate two arrays along a specified axis.

📖

In NumPy, what does the function numpy.mean() do?

A:

Computes the median of the array.

B:

Calculates the sum of the array elements.

C:

Finds the mode of the array.

D:

Computes the mean (average) of the array values.

Answer: D

The numpy.mean() function calculates the mean (average) of the array values.

📖

Questions for: Arrays