Python In Practice - 15 Projects to Master Python - Pandas DataFrames

The video tutorial introduces pandas DataFrames, explaining the Pascal naming convention used in pandas functions. It demonstrates creating DataFrames using dictionaries and numpy arrays, and how to display them in Jupyter Notebook. The tutorial also covers customizing DataFrames by editing column names and indexes.

What naming convention is used for the DataFrame function in Pandas?

• Kebab case

• Camel case

• Snake case

• Pascal case

Which of the following is a valid way to create a DataFrame in Pandas?

• Using a dictionary with lists as values

• Using a single list

• Using a tuple

• Using a string

How can you display a DataFrame in a more graphical way in Jupyter Notebook?

• By directly passing the DataFrame variable

• By using the show function

• By using the display function

• By using the print function

What is required to create a DataFrame using a 2D array?

• A list of strings

• A dictionary of lists

• A NumPy array

• A single integer

How can you rename columns in a DataFrame?

• By using the change_columns function

• By using the rename function

• By using the columns parameter

• By using the set_columns function

Which parameter allows you to change the index labels in a DataFrame?

• rows

• labels

• index

• columns

What library is used to create arrays for DataFrames in Pandas?

• NumPy

• Seaborn

• Matplotlib

• SciPy