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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
videoId: BFlH0fN5xRQ
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bilibiliIds:
aid: 505598518
bvid: BV1vg411c72y
cid: 409113534
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dashedName: pandas-conditional-selection-and-modifying-dataframes
---
# --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 )
- [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--
## --text--
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Cosa verrà visualizzato nella console con il seguente codice?
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```py
import pandas as pd
certificates_earned = pd.DataFrame({
'Certificates': [8, 2, 5, 6],
'Time (in months)': [16, 5, 9, 12]
})
names = ['Tom', 'Kris', 'Ahmad', 'Beau']
certificates_earned.index = names
longest_streak = pd.Series([13, 11, 9, 7], index=names)
certificates_earned['Longest streak'] = longest_streak
print(certificates_earned)
```
## --answers--
< pre >
Tom 13
Kris 11
Ahmad 9
Beau 7
Name: Longest streak, dtype: int64
< / pre >
---
< pre >
Certificates Time (in months) Longest streak
Tom 8 16 13
Kris 2 5 11
Ahmad 5 9 9
Beau 6 12 7
< / pre >
---
< pre >
Certificates Longest streak
Tom 8 13
Kris 2 11
Ahmad 5 9
Beau 6 7
< / pre >
## --video-solution--
2