Python Programming - Arrays
Exercise : Arrays - General Questions
- Arrays - General Questions
66.
How can you calculate the sum of all elements in a NumPy array
arr
?
Answer: Option
Explanation:
The
np.sum()
function calculates the sum of all elements in the array.
67.
What does the NumPy function
numpy.arange(1, 10, 2)
return?
Answer: Option
Explanation:
The
numpy.arange()
function creates an array with values from start (inclusive) to stop (exclusive) with the specified step.
68.
How can you find the mean of a NumPy array
arr
?
Answer: Option
Explanation:
The
np.mean()
function calculates the mean of the array.
69.
Given two NumPy arrays
arr1 = np.array([1, 2, 3])
and arr2 = np.array([4, 5, 6])
, what does np.dot(arr1, arr2)
return?Answer: Option
Explanation:
The
np.dot()
function calculates the dot product of two arrays.
70.
What is the purpose of the NumPy function
numpy.identity(3)
?
Answer: Option
Explanation:
The
numpy.identity()
function creates the identity matrix of the specified order.
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