freeCodeCamp/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.md

id, title, challengeType, videoId

id	title	challengeType	videoId
5e9a093a74c4063ca6f7c159	Pandas Indexing and Conditional Selection	11	-ZOrgV_aA9A

--description--

Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.

More resources:

• Notebooks on GitHub
• How to open Notebooks from GitHub using Google Colab.

--question--

--text--

What will the following code print out?

import pandas as pd

certificates_earned = pd.Series(
    [8, 2, 5, 6],
    index=['Tom', 'Kris', 'Ahmad', 'Beau']
)

print(certificates_earned[certificates_earned > 5])

--answers--

Tom      True
Kris     False
Ahmad    False
Beau     True
dtype: int64

---

Tom      8
Ahmad    5
Beau     6
dtype: int64

---

Tom      8
Beau     6
dtype: int64

--video-solution--

3