Python Quiz on NumPy Sorting Array

JavaScript isn't enabled in your browser, so this file can't be opened. Enable and reload.

There are 20 questions based on NumPy Sorting Array .

Q1. What is the output of the following code?

import numpy as np
arr = np.array([3, 1, 2])
print(np.sort(arr))

4 points

[3, 2, 1]

[1, 2, 3]

[2, 3, 1]

[1, 3, 2]

Q2. What will be printed?

arr = np.array([4, 2, 9])
arr.sort()
print(arr)

4 points

[2, 4, 9]

[9, 4, 2]

[4, 2, 9]

Error

Q3. What is the output of this code?

arr = np.array([[3, 2, 1], [6, 5, 4]])
print(np.sort(arr))

4 points

[[1 2 3], [4 5 6]]

[[3 2 1], [6 5 4]]

[[1 2 3], [6 5 4]]

[[1 2 3], [4 6 5]]

Q4. Which axis will sort the columns of a 2D array?

arr = np.array([[3, 2], [1, 4]])
print(np.sort(arr, axis=0))

4 points

axis=1

axis=-1

axis=0

axis=2

Q5. What does np.argsort() return?
arr = np.array([30, 10, 20])
print(np.argsort(arr))

4 points

[30, 10, 20]

Option 2

[2, 0, 1]

[1, 2, 0]

Q6. What is the effect of [::-1] on a sorted array?
arr = np.array([4, 1, 3])
print(np.sort(arr)[::-1])

4 points

[4, 3, 1]

[1, 3, 4]

[3, 1, 4]

[4, 1, 3]

Q7. What does this return?

arr = np.array([[7, 8], [1, 3]])
print(np.sort(arr, axis=None))

4 points

[[1, 3], [7, 8]]

[1, 3, 7, 8]

[[7, 8], [1, 3]]

Error

Q8. How do you sort a NumPy array in descending order?

arr = np.array([5, 2, 9])
print(np.sort(arr)[::-1])

4 points

[2, 5, 9]

[5, 2, 9]

[9, 5, 2]

[9, 2, 5]

Q9. What is the result of sorting along axis=1?
arr = np.array([[3, 2, 1], [6, 5, 4]])
print(np.sort(arr, axis=1))

4 points

[[1 2 3], [4 5 6]]

[[3 2 1], [6 5 4]]

[[1 2 3], [6 5 4]]

[[1 2 3], [4 6 5]]

Q10. What does this output?

arr = np.array(['banana', 'apple', 'cherry'])
print(np.sort(arr))

4 points

['cherry', 'banana', 'apple']

['apple', 'banana', 'cherry']

['banana', 'cherry', 'apple']

['apple', 'cherry', 'banana']

Q11. Which method is used to return the indices that would sort an array?

arr = np.array([3, 1, 2])
print(np.argsort(arr))

4 points

[3, 1, 2]

[1, 2, 0]

[2, 0, 1]

[1, 2, 1]

Q12. What does this return?

arr = np.array([[3, 2], [1, 4]])
print(np.sort(arr, axis=1))

4 points

[[3, 2], [4, 1]]

[[2, 3], [1, 4]]

[[2, 3], [4, 1]]

[[1, 4], [2, 3]]

Q13. Can NumPy sort strings?

arr = np.array(['cat', 'dog', 'apple'])
print(np.sort(arr))

4 points

['dog', 'cat', 'apple']

['apple', 'cat', 'dog']

Error

['cat', 'dog', 'apple']

Q14. Sorting a boolean array:

arr = np.array([True, False, True])
print(np.sort(arr))

4 points

[True, True, False]

[1, 0, 1]

[True, False, True]

[False, True, True]

Q15. What is the sorted version of this 2D array?

arr = np.array([[5, 2], [3, 8]])
print(np.sort(arr, axis=0))

4 points

[[5, 2], [3, 8]]

[[3, 2], [5, 8]]

[[2, 5], [3, 8]]

[[2, 3], [5, 8]]

Q16. What is the output of this code?

import numpy as np
arr = np.array([[9, 3], [1, 5]])
print(np.sort(arr, axis=1))

4 points

[[3, 9], [1, 5]]

[[9, 3], [5, 1]]

[[1, 5], [3, 9]]

[[1, 3], [5, 9]]

Q17. What is the output of argsort() here?
arr = np.array([40, 10, 20])
print(np.argsort(arr))

4 points

[0, 1, 2]

[1, 2, 0]

[2, 0, 1]

[2, 1, 0]

Q18. What will be printed?

arr = np.array([True, False, True])
print(np.sort(arr)[::-1])

4 points

[True, True, False]

[False, True, True]

[True, False, True]

[1, 0, 1]

Q19. What does this output?

arr = np.array([[5, 3], [2, 4]])
print(np.argsort(arr, axis=0))

4 points

[[1, 1], [0, 0]]

[[1, 0], [0, 1]]

[[0, 1], [1, 0]]

[[1, 0], [1, 1]]

Q20. What is the output?

arr = np.array([[4, 1], [2, 3]])
print(np.argsort(arr, axis=1))

4 points

[[1, 0], [0, 1]]

[[0, 1], [1, 0]]

[[1, 0], [1, 0]]

[[0, 1], [0, 1]]

Submit

Clear form

Forms

This content is neither created nor endorsed by Google.