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freeCodeCamp/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/pandas-indexing-and-conditional-selection.md
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Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>

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Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>
2021-01-21 12:12:42 -06:00

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---
id: 5e9a093a74c4063ca6f7c159
title: Pandas Indexing and Conditional Selection
challengeType: 11
videoId: '-ZOrgV_aA9A'
dashedName: pandas-indexing-and-conditional-selection
---
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
# --question--
## --text--
What will the following code print out?
```py
import pandas as pd
certificates_earned = pd.Series(
[8, 2, 5, 6],
index=['Tom', 'Kris', 'Ahmad', 'Beau']
)
print(certificates_earned[certificates_earned > 5])
```
## --answers--
<pre>
Tom True
Kris False
Ahmad False
Beau True
dtype: int64
</pre>
---
<pre>
Tom 8
Ahmad 5
Beau 6
dtype: int64
</pre>
---
<pre>
Tom 8
Beau 6
dtype: int64
</pre>
## --video-solution--
3