a38922536c
* added languages to prismjs * added language to code fences for python for everybody * multiline pre to python for everybody questions * multiline pre for data analysis with python * multiline pre in numpy questions * single line pre for python for everybody * single line pre for data analysis with python * single line pre for numpy * Revert "multiline pre in numpy questions" This reverts commitaf1a02cdd3. * fix unneded escaping commit suggestions from code review Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com> * Revert "single line pre for numpy" This reverts commit5f90981108. * revert changes to snippet that have a language * one last code fence to pre * Revert "fix unneded escaping " This reverts commit64c84a9213. * Revert "single line pre for data analysis with python" This reverts commit3bccaff753. * Revert "single line pre for python for everybody" This reverts commit03a5379062. * remove unnecessary escape Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>
59 lines
1.4 KiB
Markdown
59 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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<pre> 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</pre>
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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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