Practical Data Science using Python - NumPy Arrays 3

The video tutorial explains how to iterate through arrays using for loops, both row-wise and column-wise. It covers array stacking and splitting, demonstrating horizontal and vertical operations. The tutorial also discusses creating references and physical copies of arrays, highlighting the differences between them.

What is the primary method used to iterate through the rows of an array?

• Recursion

• Do-while loop

• For loop

• While loop

When iterating through columns, what function is used to determine the number of columns?

• len()

• size()

• shape[0]

• shape[1]

Which function is used to stack arrays horizontally?

• hstack()

• vstack()

• merge()

• concatenate()

What condition must be met for horizontal stacking of arrays?

• Same data type

• Same number of rows

• Same number of elements

• Same number of columns

Which function is used to split an array vertically?

• divide()

• split()

• vsplit()

• hsplit()

What is the output type when using vsplit or hsplit on an array?

• A dictionary of arrays

• A list of arrays

• A tuple of arrays

• A single array

How can you create a separate reference to an existing array?

• Using the clone() function

• Using the copy() function

• Using the assignment operator

• Using the deepcopy() function

What happens if you modify an array that has been assigned to another variable using the assignment operator?

• Only the new variable is modified

• Both the original array and the new variable are modified

• Only the original array is modified

• Neither is modified

Which function creates a physically separate copy of an array?

• replicate()

• duplicate()

• clone()

• copy()

What is the result of using the copy() function on an array?

• A reference to the original array

• A reversed array

• A new array with the same elements

• An empty array