RivoCode

Intro to Data Science · Working with Data · Lesson 3 of 12

Selecting and Filtering Data

Concept

Selecting and Filtering Data

You can select columns with df["col"] and filter rows with boolean conditions.

By the end of this lesson
  • Explain the core idea behind Selecting and Filtering Data.
  • 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. 1. Read one concept.
  2. 2. Change the example.
  3. 3. Run, compare, and explain.
  4. 4. Complete the challenge below.
ExampleRunnable
young = df[df["age"] < 25]
names = df["name"]
Try it Yourself »
Self-check before continuing

Without looking at the example, describe what changes when you modify one input in Selecting and Filtering Data. 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

Write a filter that keeps only rows where a score column is above 80.

Loading editor…

Console

Output will appear here...