Excellent Numpy Test - 78+ MCQs: NumPy test: Evaluate Your Proficiency with NumPy Questions and Answers

1. Examine the purpose of the `np.interp` function in NumPy.

Performs linear interpolation on a one-dimensional array

Calculates the intersection points of two arrays

Creates an array with regularly spaced values

Finds the inverse of a matrix

2. How can you reshape a NumPy array?

Using the `reshape` method or the `np.reshape` function

Reshaping is not possible in NumPy

By converting the array to a Python list and then reshaping

Using the `resize` method

3. What is the purpose of the NumPy function 'np.argsort()'?

Sorts array elements in ascending order

Returns the indices that would sort an array

Performs element-wise sorting

Finds the index of the minimum value in an array

4. What is the difference between `np.concatenate` and `np.stack` in NumPy?

`np.concatenate` combines arrays along an existing axis, while `np.stack` creates a new axis to stack the arrays

`np.concatenate` and `np.stack` serve the same purpose

`np.concatenate` is used for one-dimensional arrays, and `np.stack` for multi-dimensional arrays

`np.stack` combines arrays along an existing axis, while `np.concatenate` creates a new axis to stack the arrays

5. How do you apply a function element-wise to a NumPy array?

Using the `np.vectorize` function

Applying functions element-wise is not supported in NumPy

By using a for loop

Using the `np.apply_along_axis` function

6. How do you calculate the cumulative sum of elements along a specified axis in a NumPy array?

Using the `np.cumsum` function

Calculating cumulative sum along an axis is not supported in NumPy

By applying the `np.cumulative_sum` method

Using the `np.sum_cumulative` function

7. What is the purpose of the `np.median` function in NumPy?

Calculates the median of an array

Finds the mean of an array

Counts the number of elements in an array

Calculates the standard deviation of an array

8. How can you perform element-wise addition of two NumPy arrays `arr1` and `arr2`?

By using the expression `arr1 + arr2`

Using the `np.add` function

Both A and B

NumPy does not support element-wise addition

9. How do you find the unique elements in a NumPy array?

Using `np.unique(my_array)`

By applying the `my_array.distinct` method

Both A and B

NumPy does not support finding unique elements in arrays

10. How do you check the data type of a NumPy array named `my_array`?

Using `my_array.dtype`

By applying the `np.type` function

Both A and B

NumPy arrays do not have a data type

NumPy MCQ Test 5