Question

To access elements or subsets of a dataframe, we learned to use index operator [], loc[] operator and iloc[] operator. Which of the following can be used to retrieve a row from a dataframe? Be careful answering this question, it is best to test it out in Jupyter notebook. Select ALL CORRECT answers.

a) loc[] with the row index value
b) iloc[] with the positional integer starting with 0
c) [] with the row index value
d) [] with the positional integer starting with 0

Answer 1

To retrieve a row from a dataframe in pandas, one can use the loc[] operator with the row label or the iloc[] operator with the row's integer index, starting from 0.

Step-by-step explanation:

When working with dataframes in Python, specifically using pandas, there are different ways to retrieve rows. The loc[] operator can be used with the row's label to retrieve a specified row. Alternatively, the iloc[] operator is used with the row's integer index to retrieve a row, beginning with index 0 for the first row. It's important to note that using the index operator [] with the row index value or with an integer index will not work for retrieving a row from a dataframe; the index operator is primarily for columns.