Exploring NumPy Arrays

What is a NumPy array?

• A NumPy array is a type of string used for text processing in Python.

• A NumPy array is a multidimensional, homogeneous data structure used for numerical computations in Python.

• A NumPy array is a graphical representation of data in Python.

• A NumPy array is a single-dimensional, heterogeneous data structure.

How do you create a NumPy array from a list?

• Convert your list to a NumPy array with np.tolist(your_list).

• Use list(np.array(your_list)) to create a NumPy array from a list.

• Create a NumPy array by calling np.create(your_list).

• Use np.array(your_list) to create a NumPy array from a list.

What function would you use to check the shape of a NumPy array?

• arr.get_shape()

• arr.dimensions

• arr.shape

• arr.size

Explain the difference between indexing and slicing in NumPy.

• Indexing accesses specific elements, while slicing retrieves a range of elements from a NumPy array.

• Slicing is used to modify elements, while indexing is for reading elements.

• Indexing and slicing are the same and can be used interchangeably.

• Indexing retrieves a range of elements, while slicing accesses specific elements.

How can you access the first element of a NumPy array?

• array[1]

• array.first()

• array.get(0)

• array[0]

What is the result of slicing an array with the syntax array[1:4]?

• The entire array without any slicing.

• The elements at indices 1, 2, 3, and 4 of the array.

• The elements at indices 1, 2, and 3 of the array.

• The elements at indices 0, 1, and 2 of the array.

How do you change the value of a specific element in a NumPy array?

• Use the append method to add a new value at the index.

• Use a loop to iterate through the array and change values.

• Convert the array to a list and modify it directly.

• Use indexing to assign a new value, e.g., arr[index] = new_value.

What is the purpose of the `np.zeros()` function?

• To create an array filled with ones.

• To create an array filled with zeros.

• To initialize an array with a specific value.

• To create a matrix of random numbers.

How can you concatenate two NumPy arrays?

• Use numpy.concatenate((array1, array2)) to concatenate two NumPy arrays.

• Use numpy.merge(array1, array2) to concatenate two NumPy arrays.

• Combine arrays with array1 + array2 for concatenation.

• Use numpy.add(array1, array2) to concatenate two NumPy arrays.

What happens if you try to index an array with an out-of-bounds index?

• The out-of-bounds index is ignored and the last valid element is returned.

• An error or undefined value is returned.

• The program crashes immediately without any error message.

• The array automatically expands to accommodate the index.