○ Why doesn’t np.array((1, 0, 0), (0, 1, 0), (0, 0, 1, dtype=float) create a two dimensional array? Write it the correct way. (Help here) ○ What is the difference between a = np.array([0, 0, 0]) and a = np.array([[0, 0, 0]])? ○ A 3 by 4 by 4 is created with arr = np.linspace(1, 48, 48).reshape(3, 4, 4). Index or slice this array to obtain the following (help here, here and here): ■ 20.0 ■ [ 9. 10. 11. 12.] ■ [[33. 34. 35. 36.] [37. 38. 39. 40.] [41. 42. 43. 44.] [45. 46. 47. 48.]] ■ [[5. 6.], [21. 22.] [37. 38.]] ■ [[36. 35.] [40. 39.] [44. 43.] [48. 47.]] ■ [[13. 9. 5. 1.] [29. 25. 21. 17.] [45. 41. 37. 33.]] ■ [[1. 4.] [45. 48.]] ■ [[25. 26. 27. 28.], [29. 30. 31. 32.], [33. 34. 35. 36.], [37. 38. 39. 40.]]
Create a new program named compTask1.py and add comments and code to answer the fol
○ Why doesn’t np.array((1, 0, 0), (0, 1, 0), (0, 0, 1,
dtype=float) create a two dimensional array? Write it the correct
way. (Help here)
○ What is the difference between a = np.array([0, 0, 0]) and a =
np.array([[0, 0, 0]])?
○ A 3 by 4 by 4 is created with arr = np.linspace(1, 48,
48).reshape(3, 4, 4). Index or slice this array to obtain the following
(help here, here and here):
■ 20.0
■ [ 9. 10. 11. 12.]
■ [[33. 34. 35. 36.] [37. 38. 39. 40.] [41. 42. 43. 44.] [45. 46. 47. 48.]]
■ [[5. 6.], [21. 22.] [37. 38.]]
■ [[36. 35.] [40. 39.] [44. 43.] [48. 47.]]
■ [[13. 9. 5. 1.] [29. 25. 21. 17.] [45. 41. 37. 33.]]
■ [[1. 4.] [45. 48.]]
■ [[25. 26. 27. 28.], [29. 30. 31. 32.], [33. 34. 35. 36.], [37. 38. 39. 40.]]
Hint: use flatten (help here) and reshape.
Step by step
Solved in 4 steps with 2 images
