ee1e8abd87
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
61 lines
1.4 KiB
Markdown
61 lines
1.4 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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dashedName: pandas-creating-columns
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---
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# --description--
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*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
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More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
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- [How to open Notebooks from GitHub using Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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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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```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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## --video-solution--
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3
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