66 lines
1.1 KiB
Markdown
66 lines
1.1 KiB
Markdown
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---
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id: 5e9a093a74c4063ca6f7c159
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title: Pandas Indexing and Conditional Selection
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challengeType: 11
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videoId: '-ZOrgV_aA9A'
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dashedName: pandas-indexing-and-conditional-selection
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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 will the following code print out?
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```py
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import pandas as pd
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certificates_earned = pd.Series(
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[8, 2, 5, 6],
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index=['Tom', 'Kris', 'Ahmad', 'Beau']
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)
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print(certificates_earned[certificates_earned > 5])
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```
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## --answers--
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<pre>
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Tom True
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Kris False
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Ahmad False
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Beau True
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dtype: int64
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</pre>
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---
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<pre>
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Tom 8
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Ahmad 5
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Beau 6
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dtype: int64
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</pre>
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---
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<pre>
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Tom 8
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Beau 6
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dtype: int64
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</pre>
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## --video-solution--
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3
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