Intro to Data Science · Analysis · Lesson 9 of 12
Grouping Data with groupby
Concept
Grouping Data with groupby
groupby splits data into groups, such as by category, so you can compute a statistic per group.
By the end of this lesson
- Explain the core idea behind Grouping Data with groupby.
- Predict output before running a change.
- Test one realistic and one unusual input.
- Use the result to make the next decision.
How to study this page
- 1. Read one concept.
- 2. Change the example.
- 3. Run, compare, and explain.
- 4. Complete the challenge below.
ExampleRunnable
avg_by_category = df.groupby("category")["score"].mean()
print(avg_by_category)Self-check before continuing
Without looking at the example, describe what changes when you modify one input in Grouping Data with groupby. Then reopen the editor and prove your explanation with a small test.
You are ready to continue when you can predict, test, and explain the result.
Your turn
Use groupby to find the average score per difficulty level in a dataset.
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Console