NumPy Array Operations

Challenge your grasp of array manipulation,broadcasting,and indexing in NumPy.

1. What does np.arange(3, 15, 3) produce?

[3, 6, 9, 12] [3, 6, 9, 12, 15] [0, 3, 6, 9, 12] [6, 9, 12]

2. What is the shape of the array created by np.array([[1,2,3], [4,5,6]])?

(2, 3) (3, 2) (6,) (2, 2)

3. By default, what data type does np.zeros(5) return?

int float64 bool str

4. Given arr = np.array([[1,2],[3,4],[5,6]]), what is the result of np.sum(arr, axis=1)?

[3, 7, 11] [9, 12] [6, 15] 21

5. Which method modifies the original array in-place when changing its shape?

reshape() resize() ravel() flatten()

6. Which of the following perform element-wise addition of two arrays `a` and `b`?

np.add(a, b) a + b np.sum(a, b) a.concatenate(b)

7. Which of the following are attributes of a NumPy array?

shape dtype size itemsize

8. When does NumPy broadcasting apply?

Arrays have the same shape One array has a dimension of size 1 Arrays have different dimensions but compatible sizes One array is a scalar

9. The expression `np.array([1,2,3]) + np.array([4,5])` is valid due to NumPy broadcasting.

True False

10. The `flatten()` method returns a view of the original array.

True False

11. What function computes the mean of an array? (full name)

12. What abbreviation is used for the function that concatenates arrays vertically? (lowercase)

13. What is the output of `np.array([[1,2,3],[4,5,6]])[1, ::2]`?

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

14. What does `np.eye(4)` create?

4x4 identity matrix 4x1 column vector of ones 4x4 matrix of zeros 1D array of 4 ones

15. What is the result of `np.max(np.array([[5,1],[3,9]]), axis=0)`?

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

16. Which functions return a new array (do not modify the original)?

reshape() resize() flatten() ravel()

17. `np.dot(a, b)` is equivalent to matrix multiplication for 2D arrays `a` and `b`.

True False

18. What is the data type of `np.array([1, 2.5, 3])`?

int64 float64 object bool

19. What term describes the process of converting a multi-dimensional array to 1D? (starts with 'f')

20. Which of the following create a 2x3 array of zeros?

np.zeros((2, 3)) np.zeros(2, 3) np.reshape(np.zeros(6), (2, 3)) np.array([[0,0,0], [0,0,0]])

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