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---
id: 5e9a093a74c4063ca6f7c15c
title: Pandas Creating Columns
challengeType: 11
videoId: _sSo2XZoB3E
---
## Description
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< section id = 'description' >
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< em > Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.< / em >
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More resources:
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- < 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 >
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< / section >
## Tests
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< section id = 'tests' >
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````yml
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question:
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text: |
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What code would add a "Certificates per month" column to the `certificates_earned` DataFrame like the one below?
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```
Certificates Time (in months) Certificates per month
Tom 8 16 0.50
Kris 2 5 0.40
Ahmad 5 9 0.56
Beau 6 12 0.50
```
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answers:
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- |
```py
certificates_earned['Certificates'] /
certificates_earned['Time (in months)']
```
- |
```py
certificates_earned['Certificates per month'] = round(
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certificates_earned['Certificates'] /
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certificates_earned['Time (in months)']
)
```
- |
```py
certificates_earned['Certificates per month'] = round(
certificates_earned['Certificates'] /
certificates_earned['Time (in months)'], 2
)
```
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solution: 3
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````
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< / section >