3ea2fe4f77
Co-authored-by: Kristofer Koishigawa <scissorsneedfoodtoo@gmail.com> Co-authored-by: Oliver Eyton-Williams <ojeytonwilliams@gmail.com>
71 lines
1.2 KiB
Markdown
71 lines
1.2 KiB
Markdown
---
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id: 5e9a093a74c4063ca6f7c15a
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title: Pandas DataFrames
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challengeType: 11
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videoId: 7SgFBYXaiH0
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bilibiliIds:
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aid: 890503235
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bvid: BV1TP4y1h7qq
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cid: 409014039
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dashedName: pandas-dataframes
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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.DataFrame({
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'Certificates': [8, 2, 5, 6],
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'Time (in months)': [16, 5, 9, 12]
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})
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certificates_earned.index = ['Tom', 'Kris', 'Ahmad', 'Beau']
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print(certificates_earned.iloc[2])
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```
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## --answers--
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<pre>
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Tom 16
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Kris 5
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Ahmad 9
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Beau 12
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Name: Time (in months), dtype: int64
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</pre>
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---
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<pre>
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Certificates 6
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Time (in months) 12
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Name: Beau, dtype: int64
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</pre>
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---
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<pre>
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Certificates 5
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Time (in months) 9
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Name: Ahmad, dtype: int64
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</pre>
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## --video-solution--
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3
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