61 lines
1.7 KiB
Markdown
61 lines
1.7 KiB
Markdown
---
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id: 5e9a093a74c4063ca6f7c15c
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title: Pandas Creating Columns
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challengeType: 11
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videoId: _sSo2XZoB3E
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---
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## 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>
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- <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>
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## 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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```
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Certificates Time (in months) Certificates per month
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Tom 8 16 0.50
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Kris 2 5 0.40
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Ahmad 5 9 0.56
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Beau 6 12 0.50
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```
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answers:
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- |
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```py
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certificates_earned['Certificates'] /
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certificates_earned['Time (in months)']
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```
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- |
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```py
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certificates_earned['Certificates per month'] = round(
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certificates_earned['Certificates'] /
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certificates_earned['Time (in months)']
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)
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```
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- |
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```py
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certificates_earned['Certificates per month'] = round(
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certificates_earned['Certificates'] /
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certificates_earned['Time (in months)'], 2
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)
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```
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solution: 3
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````
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</section>
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