Pandas Dataframe Operations: A Beginner’s Guide to Data Manipulation

What’s a Pandas Dataframe? (Think Spreadsheet on Steroids!)
Pandas is like a superpowered spreadsheet on steroids. It lets you store and manipulate your data in a table format called a “dataframe.” Think of it as a grid with rows (think classmates) and columns (think favorite toppings). Each cell holds a specific piece of information, like pepperoni preference or pineapple persuasion (we won’t judge… maybe).

Pandas is like a superpowered spreadsheet on steroids. If you’re new to Pandas and want to dive into the magic of data manipulation, check out this comprehensive guide on DataFrames in Pandas.

Example:
import pandas as pd

Create a DataFrame with the specified data

data = {
"Name": ["Sarah", "Alex", "Ben", "Chloe", "David", "Ethan", "Olivia", None, "Lucas"],
"Favorite Topping": ["Pepperoni", "Mushrooms", "Pineapple (gasp!)", "Cheese only", "Veggie Lover", None, "Olives", "Extra Cheese", None],
"Dietary Restrictions": [None, "Vegetarian", "None", "Lactose intolerant", "Vegan","Gluten-free", None, "Vegan", "None" ]
}
df = pd.DataFrame(data)

Display the extended DataFrame

print(df)
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