ICT finals

Question 1

What is Numpy?

Answer 1

A python library for numerical computing

Question 2

How can you install Numpy?

Answer 2

pip install numpy

Question 3

What is the primary object type in Numpy?

Answer 3

ndarrays

Question 4

How do you import Numpy in a Python script?

Answer 4

import numpy as np

Question 5

What does the following code output: np.array([1, 2, 3, 4, 5])?

Answer 5

[1, 2, 3, 4, 5]

Question 6

What are 0-D arrays in Numpy?

Answer 6

Scalars

Question 7

What are 1-D arrays also known as?

Answer 7

Vectors

Question 8

Which of the following is a 2-D array?

Answer 8

np.array([[1, 2, 3], [4, 5, 6]])

Question 9

How does you access the second element of the first row in a 2-D array?

Answer 9

arr[0, 1]

Question 10

What does negative indexing represent?

Answer 10

Accessing elements from the start

Question 11

How do you slice elements from index 1 to 4 in an array?

Answer 11

arr[1:4]

Question 12

What does arr[-3:-1] return?

Answer 12

The last three elements

Question 13

What is the step in array slicing used for?

Answer 13

To skip elements in the array

Question 14

What is the difference between a copy and a viewer of a Numpy array?

Answer 14

A copy owns the data, a view does not

Question 15

What will arr[0] = 42 change in a view of an array?

Answer 15

It will update only the view

Question 16

How can you iterate through each element in a 1-D Numpy array?

Answer 16

for x in arr: print(x)

Question 17

What does np.ndenumerate() do?

Answer 17

Enumerates over ndarray sequence

Question 18

What is the output of print(arr[1, -1])?

Answer 18

Prints the last element of the second row

Question 19

What does arr[1:5:2] do?

Answer 19

Selects elements from index 1 to 2 with a step of 5

Question 20

How do you select elements from the second row and columns 1 to 4 in a 2-D array?

Answer 20

arr[1, 1:4]

Question 21

What does the shape attribute of a Numpy array return?

Answer 21

arr.reshape(2, 6)

Question 22

How can you reshape a 1-D array with 12 elements into a 2-D array with 4 arrays, each containing 3 elements?

Answer 22

arr.reshape(4, 3)

Question 23

arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])

What is the original shape of the array arr?

Answer 23

(12,)

Question 24

What will be the new shape of an array after this operation: arr.reshape(2, 3, 2)

Answer 24

(3, 2, 2)

Question 25

If you have a 2-D array and you iterate over it, what will you get?

Answer 25

Each row of the array

Question 26

What does the concatenate() function do in Numpy?

Answer 26

Joins a sequence of arrays along an existing axis

Question 27

How do you join two 1-D array along the second axis using Numpy?

Answer 27

np.stack((arr1, arr2), axis=1)

Question 28

walang questionnaire and no.28 pero may sagot

Answer 28

np.vstack()

Question 29

What is the result of splitting an array using np.array_split(arr, 3)?

Answer 29

A list containing three arrays

Question 30

How can you search for the value '4' in a NumPy array?

Answer 30

np.where(arr == 4)

Question 31

What does the sort() function do in Numpy?

Answer 31

Orders the elements in an ascending od descending sequence

Question 32

How do you filter an array to only include elements greater than 42?

Answer 32

arr[arr > 42]

Question 33

quiz_scores = np.array([[85, 90, 92], [88, 82, 95], [75, 78, 80], ]) What is the shape of the quiz_scores array before reshaping?

Answer 33

(3, 3)

Question 34

quiz_scores = np.array([[85, 90, 92], [88, 82, 95], [75, 78, 80], ]) After reshaping quiz_scores to calculate the average score of each student, what is the shape of the reshaped array?

Answer 34

(3, 3)

Question 35

What is the average score of Student 2?

Answer 35

88.33333333333333

Question 36

When iterating over a 3D array, what does each iteration provide?

Answer 36

A 2D array

Question 37

What does the hsplit() function do?

Answer 37

Splits an array horizontally

Question 38

How can you search for multiple values, such as 2, 4, and 6, in a NumPy array?

Answer 38

np.where(arr == [2, 4, 6])

Question 39

What will be the shape of an array after the operation arr.reshape(1, 2, 3, 2)?

Answer 39

(1, 2, 3, 2)

Question 40

If you want to filter a 2D array to get elements greater than 4, Which of the following is correct?

Answer 40

arr_2d[arr_2d > 4]

Question 41

Pag nakalimutan ko sagot, pahinge

Answer 41

Yes lang ang sagot, wala kang choice :p