Question

Boolean indexing in Pandas DataFrame can be used for ______.

Options

• Creating a new DataFrame.

• Sorting data based on index labels.

• Joining data using labels.

• Filtering data based on condition.

Answer 1

Boolean indexing in Pandas DataFrame can be used for filtering data based on condition.

Explanation:

1. Boolean indexing in Pandas facilitates the filtration of a DataFrame according to a specified criterion.
2. It generates a mask (Boolean values) and chooses the rows or columns where the condition is True exclusively.