freeCodeCamp/curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-c.../pandas-dataframes.md

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---
id: 5e9a093a74c4063ca6f7c15a
title: Pandas DataFrames
challengeType: 11
videoId: 7SgFBYXaiH0
bilibiliIds:
aid: 890503235
bvid: BV1TP4y1h7qq
cid: 409014039
dashedName: pandas-dataframes
---
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
More resources:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" target="_blank" rel="noopener noreferrer nofollow">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 nofollow">How to open Notebooks from GitHub using Google Colab.</a>
# --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--
<pre>
Tom 16
Kris 5
Ahmad 9
Beau 12
Name: Time (in months), dtype: int64
</pre>
---
<pre>
Certificates 6
Time (in months) 12
Name: Beau, dtype: int64
</pre>
---
<pre>
Certificates 5
Time (in months) 9
Name: Ahmad, dtype: int64
</pre>
## --video-solution--
3