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---
id: 5e9a093a74c4063ca6f7c15a
title: Pandas DataFrames
challengeType: 11
videoId: 7SgFBYXaiH0
---
## Description
<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
</section>
## Tests
<section id='tests'>
````yml
question:
text: |
What will the following code print out?
```py
import pandas as pd
certificates_earned = pd.DataFrame({
'Certificates': [8, 2, 5, 6],
'Time (in months)': [16, 5, 9, 12]
})
certificates_earned.index = ['Tom', 'Kris', 'Ahmad', 'Beau']
print(certificates_earned.iloc[2])
```
answers:
- |
```
Tom 16
Kris 5
Ahmad 9
Beau 12
Name: Time (in months), dtype: int64
```
- |
```
Certificates 6
Time (in months) 12
Name: Beau, dtype: int64
```
- |
```
Certificates 5
Time (in months) 9
Name: Ahmad, dtype: int64
```
solution: 3
````
</section>