Numpy MCQs with answers Page - 8

Here, you will find a collection of MCQ questions on Numpy. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Q. What does `a[a > 0]` return?

  • (A) Indexes of elements greater than 0
  • (B) Boolean array
  • (C) Elements of a that are greater than 0
  • (D) None of the above

A

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Q. Which NumPy function returns the number of dimensions in an array?

  • (A) ndim
  • (B) shape
  • (C) size
  • (D) dim

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Q. How can you check for infinite values in a NumPy array?

  • (A) np.isinf()
  • (B) np.isfinite()
  • (C) np.isnan()
  • (D) np.checkinf()

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Q. Which function returns a view of the array with dimensions permuted?

  • (A) np.swapaxes()
  • (B) np.transpose()
  • (C) np.permute()
  • (D) np.reverse()

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Q. What does np.tile(x, 2) do?

  • (A) Repeats x twice
  • (B) Returns transpose of x
  • (C) Adds 2 to all elements of x
  • (D) Creates a tiled matrix from x with 2 rows

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Q. Which of the following functions will round elements to the nearest integer?

  • (A) np.fix()
  • (B) np.round()
  • (C) np.ceil()
  • (D) np.floor()

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Q. How to get diagonal elements of a 2D array?

  • (A) np.diagonal()
  • (B) np.diag()
  • (C) np.get_diag()
  • (D) np.extract_diag()

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Q. What is the default axis in np.mean(arr)?

  • (A) 0
  • (B) 1
  • (C) None
  • (D) 2

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Q. Which of these is used for element-wise multiplication in NumPy?

  • (A) np.multiply()
  • (B) np.dot()
  • (C) np.prod()
  • (D) np.matmult()

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Q. What will be the output of np.array([1,2,3], dtype='float32').dtype?

  • (A) int32
  • (B) float32
  • (C) float64
  • (D) int64

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