Course Content
Pandas: First Steps
Pandas: First Steps
1. Getting Started
Introduction to PandasSeriesTask: Coffee Orders SeriesTask: Barista's Favorites CoffeesAccessing Elements from a SeriesTask: Drink of the HourTask - Signature DrinksTask: Mid-Morning SpecialsTask - Fetching the Mid-Shift DrinksOperations over SeriesTask: Modifying a single elementTask: Modifying the Entire SeriesTask: Modifying Part of a SeriesTask: Processing the Restock of Inventory
2. Basics of Dataframes
What is a DataFrame?Task: Creating a Table of Popular Coffee DrinksTask: Tracking Coffee Bean DeliveriesTask: Weekly Coffee Sales ReportAdding new ColumnsTask: Finding Total Sales Per DrinkTask: Calculating Total Sales RevenueAdding new RowsTask: Adding a New Employee to the Café TeamTask: Adding New Coffee Types to the Café Menu
Task: Adding New Coffee Types to the Café Menu
Task
Swipe to start coding
At Café Pandasia, the manager has been updating the menu and wants to add more coffee types.
The manager wants to add three new coffee types:
- Americano: Price: 2.8, Availability: Yes
- Macchiato: Price: 3.2, Availability: No
- Mocha: Price: 3.5, Availability: Yes
Use the loc property to add the three new coffee types to the existing DataFrame (df).
Solution
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Section 2. Chapter 10
Task: Adding New Coffee Types to the Café Menu
Task
Swipe to start coding
At Café Pandasia, the manager has been updating the menu and wants to add more coffee types.
The manager wants to add three new coffee types:
- Americano: Price: 2.8, Availability: Yes
- Macchiato: Price: 3.2, Availability: No
- Mocha: Price: 3.5, Availability: Yes
Use the loc property to add the three new coffee types to the existing DataFrame (df).
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
Thanks for your feedback!
Section 2. Chapter 10
Switch to desktop for real-world practiceContinue from where you are using one of the options below