78 lines
1.7 KiB
Markdown
78 lines
1.7 KiB
Markdown
---
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id: 5e9a093a74c4063ca6f7c15b
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title: Selezione condizionale con Panda e modifica dei DataFrame
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challengeType: 11
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videoId: BFlH0fN5xRQ
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bilibiliIds:
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aid: 505598518
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bvid: BV1vg411c72y
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cid: 409113534
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dashedName: pandas-conditional-selection-and-modifying-dataframes
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---
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# --description--
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*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
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Altre risorse:
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- [Notebook su GitHub](https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas)
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- [Come aprire Notebooks da GitHub usando 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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Cosa verrà visualizzato nella console con il seguente codice?
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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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names = ['Tom', 'Kris', 'Ahmad', 'Beau']
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certificates_earned.index = names
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longest_streak = pd.Series([13, 11, 9, 7], index=names)
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certificates_earned['Longest streak'] = longest_streak
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print(certificates_earned)
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```
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## --answers--
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<pre>
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Tom 13
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Kris 11
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Ahmad 9
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Beau 7
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Name: Longest streak, dtype: int64
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</pre>
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---
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<pre>
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Certificates Time (in months) Longest streak
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Tom 8 16 13
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Kris 2 5 11
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Ahmad 5 9 9
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Beau 6 12 7
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</pre>
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---
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<pre>
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Certificates Longest streak
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Tom 8 13
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Kris 2 11
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Ahmad 5 9
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Beau 6 7
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</pre>
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## --video-solution--
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2
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